diff --git a/.github/workflows/test-ui.yaml b/.github/workflows/test-ui.yaml
new file mode 100644
index 000000000..950691755
--- /dev/null
+++ b/.github/workflows/test-ui.yaml
@@ -0,0 +1,26 @@
+name: Tests CI
+
+on: [push, pull_request]
+
+jobs:
+ test:
+ runs-on: ubuntu-latest
+ steps:
+ - uses: actions/checkout@v4
+ - uses: actions/setup-node@v3
+ with:
+ node-version: 18
+ - uses: actions/setup-python@v4
+ with:
+ python-version: '3.10'
+ - name: Install requirements
+ run: |
+ python -m pip install --upgrade pip
+ pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu
+ pip install -r requirements.txt
+ - name: Run Tests
+ run: |
+ npm ci
+ npm run test:generate
+ npm test
+ working-directory: ./tests-ui
diff --git a/.github/workflows/windows_release_dependencies.yml b/.github/workflows/windows_release_dependencies.yml
index f2ac94074..aafe8a214 100644
--- a/.github/workflows/windows_release_dependencies.yml
+++ b/.github/workflows/windows_release_dependencies.yml
@@ -41,13 +41,13 @@ jobs:
- shell: bash
run: |
echo "@echo off
- ..\python_embeded\python.exe .\update.py ..\ComfyUI\
- echo
+ ..\python_embeded\python.exe .\update.py ..\ComfyUI\\
+ echo -
echo This will try to update pytorch and all python dependencies, if you get an error wait for pytorch/xformers to fix their stuff
echo You should not be running this anyways unless you really have to
- echo
+ echo -
echo If you just want to update normally, close this and run update_comfyui.bat instead.
- echo
+ echo -
pause
..\python_embeded\python.exe -s -m pip install --upgrade torch torchvision torchaudio ${{ inputs.xformers }} --extra-index-url https://download.pytorch.org/whl/cu${{ inputs.cu }} -r ../ComfyUI/requirements.txt pygit2
pause" > update_comfyui_and_python_dependencies.bat
diff --git a/.gitignore b/.gitignore
index 66284f266..87dd27010 100644
--- a/.gitignore
+++ b/.gitignore
@@ -15,3 +15,4 @@ venv/
/web/extensions/*
!/web/extensions/logging.js.example
!/web/extensions/core/
+/tests-ui/data/object_info.json
\ No newline at end of file
diff --git a/README.md b/README.md
index 559e99ffa..d622c9072 100644
--- a/README.md
+++ b/README.md
@@ -46,6 +46,7 @@ Workflow examples can be found on the [Examples page](https://comfyanonymous.git
| Ctrl + S | Save workflow |
| Ctrl + O | Load workflow |
| Ctrl + A | Select all nodes |
+| Alt + C | Collapse/uncollapse selected nodes |
| Ctrl + M | Mute/unmute selected nodes |
| Ctrl + B | Bypass selected nodes (acts like the node was removed from the graph and the wires reconnected through) |
| Delete/Backspace | Delete selected nodes |
@@ -69,7 +70,7 @@ Ctrl can also be replaced with Cmd instead for macOS users
There is a portable standalone build for Windows that should work for running on Nvidia GPUs or for running on your CPU only on the [releases page](https://github.com/comfyanonymous/ComfyUI/releases).
-### [Direct link to download](https://github.com/comfyanonymous/ComfyUI/releases/download/latest/ComfyUI_windows_portable_nvidia_cu118_or_cpu.7z)
+### [Direct link to download](https://github.com/comfyanonymous/ComfyUI/releases/download/latest/ComfyUI_windows_portable_nvidia_cu121_or_cpu.7z)
Simply download, extract with [7-Zip](https://7-zip.org) and run. Make sure you put your Stable Diffusion checkpoints/models (the huge ckpt/safetensors files) in: ComfyUI\models\checkpoints
@@ -89,6 +90,8 @@ Put your SD checkpoints (the huge ckpt/safetensors files) in: models/checkpoints
Put your VAE in: models/vae
+Note: pytorch does not support python 3.12 yet so make sure your python version is 3.11 or earlier.
+
### AMD GPUs (Linux only)
AMD users can install rocm and pytorch with pip if you don't have it already installed, this is the command to install the stable version:
diff --git a/comfy/cldm/cldm.py b/comfy/cldm/cldm.py
index 251483131..f982d648c 100644
--- a/comfy/cldm/cldm.py
+++ b/comfy/cldm/cldm.py
@@ -34,8 +34,7 @@ class ControlNet(nn.Module):
dims=2,
num_classes=None,
use_checkpoint=False,
- use_fp16=False,
- use_bf16=False,
+ dtype=torch.float32,
num_heads=-1,
num_head_channels=-1,
num_heads_upsample=-1,
@@ -108,8 +107,7 @@ class ControlNet(nn.Module):
self.conv_resample = conv_resample
self.num_classes = num_classes
self.use_checkpoint = use_checkpoint
- self.dtype = th.float16 if use_fp16 else th.float32
- self.dtype = th.bfloat16 if use_bf16 else self.dtype
+ self.dtype = dtype
self.num_heads = num_heads
self.num_head_channels = num_head_channels
self.num_heads_upsample = num_heads_upsample
diff --git a/comfy/cli_args.py b/comfy/cli_args.py
index ffae81c49..d86557646 100644
--- a/comfy/cli_args.py
+++ b/comfy/cli_args.py
@@ -39,6 +39,7 @@ parser.add_argument("--enable-cors-header", type=str, default=None, metavar="ORI
parser.add_argument("--extra-model-paths-config", type=str, default=None, metavar="PATH", nargs='+', action='append', help="Load one or more extra_model_paths.yaml files.")
parser.add_argument("--output-directory", type=str, default=None, help="Set the ComfyUI output directory.")
parser.add_argument("--temp-directory", type=str, default=None, help="Set the ComfyUI temp directory (default is in the ComfyUI directory).")
+parser.add_argument("--input-directory", type=str, default=None, help="Set the ComfyUI input directory.")
parser.add_argument("--auto-launch", action="store_true", help="Automatically launch ComfyUI in the default browser.")
parser.add_argument("--disable-auto-launch", action="store_true", help="Disable auto launching the browser.")
parser.add_argument("--cuda-device", type=int, default=None, metavar="DEVICE_ID", help="Set the id of the cuda device this instance will use.")
@@ -52,6 +53,8 @@ fp_group = parser.add_mutually_exclusive_group()
fp_group.add_argument("--force-fp32", action="store_true", help="Force fp32 (If this makes your GPU work better please report it).")
fp_group.add_argument("--force-fp16", action="store_true", help="Force fp16.")
+parser.add_argument("--bf16-unet", action="store_true", help="Run the UNET in bf16. This should only be used for testing stuff.")
+
fpvae_group = parser.add_mutually_exclusive_group()
fpvae_group.add_argument("--fp16-vae", action="store_true", help="Run the VAE in fp16, might cause black images.")
fpvae_group.add_argument("--fp32-vae", action="store_true", help="Run the VAE in full precision fp32.")
diff --git a/comfy/clip_vision.py b/comfy/clip_vision.py
index 1206c680d..e085186ef 100644
--- a/comfy/clip_vision.py
+++ b/comfy/clip_vision.py
@@ -92,8 +92,11 @@ def load_clipvision_from_sd(sd, prefix="", convert_keys=False):
json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "clip_vision_config_g.json")
elif "vision_model.encoder.layers.30.layer_norm1.weight" in sd:
json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "clip_vision_config_h.json")
- else:
+ elif "vision_model.encoder.layers.22.layer_norm1.weight" in sd:
json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "clip_vision_config_vitl.json")
+ else:
+ return None
+
clip = ClipVisionModel(json_config)
m, u = clip.load_sd(sd)
if len(m) > 0:
diff --git a/comfy/controlnet.py b/comfy/controlnet.py
index ea219c7e5..f1355e64e 100644
--- a/comfy/controlnet.py
+++ b/comfy/controlnet.py
@@ -292,8 +292,8 @@ def load_controlnet(ckpt_path, model=None):
controlnet_config = None
if "controlnet_cond_embedding.conv_in.weight" in controlnet_data: #diffusers format
- use_fp16 = comfy.model_management.should_use_fp16()
- controlnet_config = comfy.model_detection.unet_config_from_diffusers_unet(controlnet_data, use_fp16)
+ unet_dtype = comfy.model_management.unet_dtype()
+ controlnet_config = comfy.model_detection.unet_config_from_diffusers_unet(controlnet_data, unet_dtype)
diffusers_keys = comfy.utils.unet_to_diffusers(controlnet_config)
diffusers_keys["controlnet_mid_block.weight"] = "middle_block_out.0.weight"
diffusers_keys["controlnet_mid_block.bias"] = "middle_block_out.0.bias"
@@ -353,8 +353,8 @@ def load_controlnet(ckpt_path, model=None):
return net
if controlnet_config is None:
- use_fp16 = comfy.model_management.should_use_fp16()
- controlnet_config = comfy.model_detection.model_config_from_unet(controlnet_data, prefix, use_fp16, True).unet_config
+ unet_dtype = comfy.model_management.unet_dtype()
+ controlnet_config = comfy.model_detection.model_config_from_unet(controlnet_data, prefix, unet_dtype, True).unet_config
controlnet_config.pop("out_channels")
controlnet_config["hint_channels"] = controlnet_data["{}input_hint_block.0.weight".format(prefix)].shape[1]
control_model = comfy.cldm.cldm.ControlNet(**controlnet_config)
@@ -383,8 +383,7 @@ def load_controlnet(ckpt_path, model=None):
missing, unexpected = control_model.load_state_dict(controlnet_data, strict=False)
print(missing, unexpected)
- if use_fp16:
- control_model = control_model.half()
+ control_model = control_model.to(unet_dtype)
global_average_pooling = False
filename = os.path.splitext(ckpt_path)[0]
@@ -417,7 +416,7 @@ class T2IAdapter(ControlBase):
if control_prev is not None:
return control_prev
else:
- return {}
+ return None
if self.cond_hint is None or x_noisy.shape[2] * 8 != self.cond_hint.shape[2] or x_noisy.shape[3] * 8 != self.cond_hint.shape[3]:
if self.cond_hint is not None:
diff --git a/comfy/diffusers_load.py b/comfy/diffusers_load.py
index a52e0102b..c0b420e79 100644
--- a/comfy/diffusers_load.py
+++ b/comfy/diffusers_load.py
@@ -31,6 +31,7 @@ def load_diffusers(model_path, output_vae=True, output_clip=True, embedding_dire
vae = None
if output_vae:
- vae = comfy.sd.VAE(ckpt_path=vae_path)
+ sd = comfy.utils.load_torch_file(vae_path)
+ vae = comfy.sd.VAE(sd=sd)
return (unet, clip, vae)
diff --git a/comfy/extra_samplers/uni_pc.py b/comfy/extra_samplers/uni_pc.py
index 7e88bb9fa..58e030d04 100644
--- a/comfy/extra_samplers/uni_pc.py
+++ b/comfy/extra_samplers/uni_pc.py
@@ -713,8 +713,8 @@ class UniPC:
method='singlestep', lower_order_final=True, denoise_to_zero=False, solver_type='dpm_solver',
atol=0.0078, rtol=0.05, corrector=False, callback=None, disable_pbar=False
):
- t_0 = 1. / self.noise_schedule.total_N if t_end is None else t_end
- t_T = self.noise_schedule.T if t_start is None else t_start
+ # t_0 = 1. / self.noise_schedule.total_N if t_end is None else t_end
+ # t_T = self.noise_schedule.T if t_start is None else t_start
device = x.device
steps = len(timesteps) - 1
if method == 'multistep':
@@ -769,8 +769,8 @@ class UniPC:
callback(step_index, model_prev_list[-1], x, steps)
else:
raise NotImplementedError()
- if denoise_to_zero:
- x = self.denoise_to_zero_fn(x, torch.ones((x.shape[0],)).to(device) * t_0)
+ # if denoise_to_zero:
+ # x = self.denoise_to_zero_fn(x, torch.ones((x.shape[0],)).to(device) * t_0)
return x
@@ -833,21 +833,33 @@ def expand_dims(v, dims):
return v[(...,) + (None,)*(dims - 1)]
+class SigmaConvert:
+ schedule = ""
+ def marginal_log_mean_coeff(self, sigma):
+ return 0.5 * torch.log(1 / ((sigma * sigma) + 1))
+
+ def marginal_alpha(self, t):
+ return torch.exp(self.marginal_log_mean_coeff(t))
+
+ def marginal_std(self, t):
+ return torch.sqrt(1. - torch.exp(2. * self.marginal_log_mean_coeff(t)))
+
+ def marginal_lambda(self, t):
+ """
+ Compute lambda_t = log(alpha_t) - log(sigma_t) of a given continuous-time label t in [0, T].
+ """
+ log_mean_coeff = self.marginal_log_mean_coeff(t)
+ log_std = 0.5 * torch.log(1. - torch.exp(2. * log_mean_coeff))
+ return log_mean_coeff - log_std
def sample_unipc(model, noise, image, sigmas, sampling_function, max_denoise, extra_args=None, callback=None, disable=False, noise_mask=None, variant='bh1'):
- to_zero = False
+ timesteps = sigmas.clone()
if sigmas[-1] == 0:
- timesteps = torch.nn.functional.interpolate(sigmas[None,None,:-1], size=(len(sigmas),), mode='linear')[0][0]
- to_zero = True
+ timesteps = sigmas[:]
+ timesteps[-1] = 0.001
else:
timesteps = sigmas.clone()
-
- alphas_cumprod = model.inner_model.alphas_cumprod
-
- for s in range(timesteps.shape[0]):
- timesteps[s] = (model.sigma_to_discrete_timestep(timesteps[s]) / 1000) + (1 / len(alphas_cumprod))
-
- ns = NoiseScheduleVP('discrete', alphas_cumprod=alphas_cumprod)
+ ns = SigmaConvert()
if image is not None:
img = image * ns.marginal_alpha(timesteps[0])
@@ -859,16 +871,10 @@ def sample_unipc(model, noise, image, sigmas, sampling_function, max_denoise, ex
else:
img = noise
- if to_zero:
- timesteps[-1] = (1 / len(alphas_cumprod))
-
- device = noise.device
-
-
model_type = "noise"
model_fn = model_wrapper(
- model.predict_eps_discrete_timestep,
+ model.predict_eps_sigma,
ns,
model_type=model_type,
guidance_type="uncond",
@@ -878,6 +884,5 @@ def sample_unipc(model, noise, image, sigmas, sampling_function, max_denoise, ex
order = min(3, len(timesteps) - 1)
uni_pc = UniPC(model_fn, ns, predict_x0=True, thresholding=False, noise_mask=noise_mask, masked_image=image, noise=noise, variant=variant)
x = uni_pc.sample(img, timesteps=timesteps, skip_type="time_uniform", method="multistep", order=order, lower_order_final=True, callback=callback, disable_pbar=disable)
- if not to_zero:
- x /= ns.marginal_alpha(timesteps[-1])
+ x /= ns.marginal_alpha(timesteps[-1])
return x
diff --git a/comfy/k_diffusion/external.py b/comfy/k_diffusion/external.py
index c1a137d9c..953d3db2c 100644
--- a/comfy/k_diffusion/external.py
+++ b/comfy/k_diffusion/external.py
@@ -97,6 +97,10 @@ class DiscreteSchedule(nn.Module):
input = input * ((utils.append_dims(sigma, input.ndim) ** 2 + 1.0) ** 0.5)
return (input - self(input, sigma, **kwargs)) / utils.append_dims(sigma, input.ndim)
+ def predict_eps_sigma(self, input, sigma, **kwargs):
+ input = input * ((utils.append_dims(sigma, input.ndim) ** 2 + 1.0) ** 0.5)
+ return (input - self(input, sigma, **kwargs)) / utils.append_dims(sigma, input.ndim)
+
class DiscreteEpsDDPMDenoiser(DiscreteSchedule):
"""A wrapper for discrete schedule DDPM models that output eps (the predicted
noise)."""
diff --git a/comfy/latent_formats.py b/comfy/latent_formats.py
index fadc0eec7..c209087e0 100644
--- a/comfy/latent_formats.py
+++ b/comfy/latent_formats.py
@@ -20,7 +20,7 @@ class SD15(LatentFormat):
[-0.2829, 0.1762, 0.2721],
[-0.2120, -0.2616, -0.7177]
]
- self.taesd_decoder_name = "taesd_decoder.pth"
+ self.taesd_decoder_name = "taesd_decoder"
class SDXL(LatentFormat):
def __init__(self):
@@ -32,4 +32,4 @@ class SDXL(LatentFormat):
[ 0.0568, 0.1687, -0.0755],
[-0.3112, -0.2359, -0.2076]
]
- self.taesd_decoder_name = "taesdxl_decoder.pth"
+ self.taesd_decoder_name = "taesdxl_decoder"
diff --git a/comfy/ldm/models/autoencoder.py b/comfy/ldm/models/autoencoder.py
index 1fb7ed879..d2f1d74a9 100644
--- a/comfy/ldm/models/autoencoder.py
+++ b/comfy/ldm/models/autoencoder.py
@@ -2,67 +2,66 @@ import torch
# import pytorch_lightning as pl
import torch.nn.functional as F
from contextlib import contextmanager
+from typing import Any, Dict, List, Optional, Tuple, Union
-from comfy.ldm.modules.diffusionmodules.model import Encoder, Decoder
from comfy.ldm.modules.distributions.distributions import DiagonalGaussianDistribution
from comfy.ldm.util import instantiate_from_config
from comfy.ldm.modules.ema import LitEma
-# class AutoencoderKL(pl.LightningModule):
-class AutoencoderKL(torch.nn.Module):
- def __init__(self,
- ddconfig,
- lossconfig,
- embed_dim,
- ckpt_path=None,
- ignore_keys=[],
- image_key="image",
- colorize_nlabels=None,
- monitor=None,
- ema_decay=None,
- learn_logvar=False
- ):
+class DiagonalGaussianRegularizer(torch.nn.Module):
+ def __init__(self, sample: bool = True):
super().__init__()
- self.learn_logvar = learn_logvar
- self.image_key = image_key
- self.encoder = Encoder(**ddconfig)
- self.decoder = Decoder(**ddconfig)
- self.loss = instantiate_from_config(lossconfig)
- assert ddconfig["double_z"]
- self.quant_conv = torch.nn.Conv2d(2*ddconfig["z_channels"], 2*embed_dim, 1)
- self.post_quant_conv = torch.nn.Conv2d(embed_dim, ddconfig["z_channels"], 1)
- self.embed_dim = embed_dim
- if colorize_nlabels is not None:
- assert type(colorize_nlabels)==int
- self.register_buffer("colorize", torch.randn(3, colorize_nlabels, 1, 1))
+ self.sample = sample
+
+ def get_trainable_parameters(self) -> Any:
+ yield from ()
+
+ def forward(self, z: torch.Tensor) -> Tuple[torch.Tensor, dict]:
+ log = dict()
+ posterior = DiagonalGaussianDistribution(z)
+ if self.sample:
+ z = posterior.sample()
+ else:
+ z = posterior.mode()
+ kl_loss = posterior.kl()
+ kl_loss = torch.sum(kl_loss) / kl_loss.shape[0]
+ log["kl_loss"] = kl_loss
+ return z, log
+
+
+class AbstractAutoencoder(torch.nn.Module):
+ """
+ This is the base class for all autoencoders, including image autoencoders, image autoencoders with discriminators,
+ unCLIP models, etc. Hence, it is fairly general, and specific features
+ (e.g. discriminator training, encoding, decoding) must be implemented in subclasses.
+ """
+
+ def __init__(
+ self,
+ ema_decay: Union[None, float] = None,
+ monitor: Union[None, str] = None,
+ input_key: str = "jpg",
+ **kwargs,
+ ):
+ super().__init__()
+
+ self.input_key = input_key
+ self.use_ema = ema_decay is not None
if monitor is not None:
self.monitor = monitor
- self.use_ema = ema_decay is not None
if self.use_ema:
- self.ema_decay = ema_decay
- assert 0. < ema_decay < 1.
self.model_ema = LitEma(self, decay=ema_decay)
- print(f"Keeping EMAs of {len(list(self.model_ema.buffers()))}.")
+ logpy.info(f"Keeping EMAs of {len(list(self.model_ema.buffers()))}.")
- if ckpt_path is not None:
- self.init_from_ckpt(ckpt_path, ignore_keys=ignore_keys)
+ def get_input(self, batch) -> Any:
+ raise NotImplementedError()
- def init_from_ckpt(self, path, ignore_keys=list()):
- if path.lower().endswith(".safetensors"):
- import safetensors.torch
- sd = safetensors.torch.load_file(path, device="cpu")
- else:
- sd = torch.load(path, map_location="cpu")["state_dict"]
- keys = list(sd.keys())
- for k in keys:
- for ik in ignore_keys:
- if k.startswith(ik):
- print("Deleting key {} from state_dict.".format(k))
- del sd[k]
- self.load_state_dict(sd, strict=False)
- print(f"Restored from {path}")
+ def on_train_batch_end(self, *args, **kwargs):
+ # for EMA computation
+ if self.use_ema:
+ self.model_ema(self)
@contextmanager
def ema_scope(self, context=None):
@@ -70,154 +69,159 @@ class AutoencoderKL(torch.nn.Module):
self.model_ema.store(self.parameters())
self.model_ema.copy_to(self)
if context is not None:
- print(f"{context}: Switched to EMA weights")
+ logpy.info(f"{context}: Switched to EMA weights")
try:
yield None
finally:
if self.use_ema:
self.model_ema.restore(self.parameters())
if context is not None:
- print(f"{context}: Restored training weights")
+ logpy.info(f"{context}: Restored training weights")
- def on_train_batch_end(self, *args, **kwargs):
- if self.use_ema:
- self.model_ema(self)
+ def encode(self, *args, **kwargs) -> torch.Tensor:
+ raise NotImplementedError("encode()-method of abstract base class called")
- def encode(self, x):
- h = self.encoder(x)
- moments = self.quant_conv(h)
- posterior = DiagonalGaussianDistribution(moments)
- return posterior
+ def decode(self, *args, **kwargs) -> torch.Tensor:
+ raise NotImplementedError("decode()-method of abstract base class called")
- def decode(self, z):
- z = self.post_quant_conv(z)
- dec = self.decoder(z)
- return dec
+ def instantiate_optimizer_from_config(self, params, lr, cfg):
+ logpy.info(f"loading >>> {cfg['target']} <<< optimizer from config")
+ return get_obj_from_str(cfg["target"])(
+ params, lr=lr, **cfg.get("params", dict())
+ )
- def forward(self, input, sample_posterior=True):
- posterior = self.encode(input)
- if sample_posterior:
- z = posterior.sample()
- else:
- z = posterior.mode()
- dec = self.decode(z)
- return dec, posterior
+ def configure_optimizers(self) -> Any:
+ raise NotImplementedError()
- def get_input(self, batch, k):
- x = batch[k]
- if len(x.shape) == 3:
- x = x[..., None]
- x = x.permute(0, 3, 1, 2).to(memory_format=torch.contiguous_format).float()
- return x
- def training_step(self, batch, batch_idx, optimizer_idx):
- inputs = self.get_input(batch, self.image_key)
- reconstructions, posterior = self(inputs)
+class AutoencodingEngine(AbstractAutoencoder):
+ """
+ Base class for all image autoencoders that we train, like VQGAN or AutoencoderKL
+ (we also restore them explicitly as special cases for legacy reasons).
+ Regularizations such as KL or VQ are moved to the regularizer class.
+ """
- if optimizer_idx == 0:
- # train encoder+decoder+logvar
- aeloss, log_dict_ae = self.loss(inputs, reconstructions, posterior, optimizer_idx, self.global_step,
- last_layer=self.get_last_layer(), split="train")
- self.log("aeloss", aeloss, prog_bar=True, logger=True, on_step=True, on_epoch=True)
- self.log_dict(log_dict_ae, prog_bar=False, logger=True, on_step=True, on_epoch=False)
- return aeloss
+ def __init__(
+ self,
+ *args,
+ encoder_config: Dict,
+ decoder_config: Dict,
+ regularizer_config: Dict,
+ **kwargs,
+ ):
+ super().__init__(*args, **kwargs)
- if optimizer_idx == 1:
- # train the discriminator
- discloss, log_dict_disc = self.loss(inputs, reconstructions, posterior, optimizer_idx, self.global_step,
- last_layer=self.get_last_layer(), split="train")
-
- self.log("discloss", discloss, prog_bar=True, logger=True, on_step=True, on_epoch=True)
- self.log_dict(log_dict_disc, prog_bar=False, logger=True, on_step=True, on_epoch=False)
- return discloss
-
- def validation_step(self, batch, batch_idx):
- log_dict = self._validation_step(batch, batch_idx)
- with self.ema_scope():
- log_dict_ema = self._validation_step(batch, batch_idx, postfix="_ema")
- return log_dict
-
- def _validation_step(self, batch, batch_idx, postfix=""):
- inputs = self.get_input(batch, self.image_key)
- reconstructions, posterior = self(inputs)
- aeloss, log_dict_ae = self.loss(inputs, reconstructions, posterior, 0, self.global_step,
- last_layer=self.get_last_layer(), split="val"+postfix)
-
- discloss, log_dict_disc = self.loss(inputs, reconstructions, posterior, 1, self.global_step,
- last_layer=self.get_last_layer(), split="val"+postfix)
-
- self.log(f"val{postfix}/rec_loss", log_dict_ae[f"val{postfix}/rec_loss"])
- self.log_dict(log_dict_ae)
- self.log_dict(log_dict_disc)
- return self.log_dict
-
- def configure_optimizers(self):
- lr = self.learning_rate
- ae_params_list = list(self.encoder.parameters()) + list(self.decoder.parameters()) + list(
- self.quant_conv.parameters()) + list(self.post_quant_conv.parameters())
- if self.learn_logvar:
- print(f"{self.__class__.__name__}: Learning logvar")
- ae_params_list.append(self.loss.logvar)
- opt_ae = torch.optim.Adam(ae_params_list,
- lr=lr, betas=(0.5, 0.9))
- opt_disc = torch.optim.Adam(self.loss.discriminator.parameters(),
- lr=lr, betas=(0.5, 0.9))
- return [opt_ae, opt_disc], []
+ self.encoder: torch.nn.Module = instantiate_from_config(encoder_config)
+ self.decoder: torch.nn.Module = instantiate_from_config(decoder_config)
+ self.regularization: AbstractRegularizer = instantiate_from_config(
+ regularizer_config
+ )
def get_last_layer(self):
- return self.decoder.conv_out.weight
+ return self.decoder.get_last_layer()
- @torch.no_grad()
- def log_images(self, batch, only_inputs=False, log_ema=False, **kwargs):
- log = dict()
- x = self.get_input(batch, self.image_key)
- x = x.to(self.device)
- if not only_inputs:
- xrec, posterior = self(x)
- if x.shape[1] > 3:
- # colorize with random projection
- assert xrec.shape[1] > 3
- x = self.to_rgb(x)
- xrec = self.to_rgb(xrec)
- log["samples"] = self.decode(torch.randn_like(posterior.sample()))
- log["reconstructions"] = xrec
- if log_ema or self.use_ema:
- with self.ema_scope():
- xrec_ema, posterior_ema = self(x)
- if x.shape[1] > 3:
- # colorize with random projection
- assert xrec_ema.shape[1] > 3
- xrec_ema = self.to_rgb(xrec_ema)
- log["samples_ema"] = self.decode(torch.randn_like(posterior_ema.sample()))
- log["reconstructions_ema"] = xrec_ema
- log["inputs"] = x
- return log
+ def encode(
+ self,
+ x: torch.Tensor,
+ return_reg_log: bool = False,
+ unregularized: bool = False,
+ ) -> Union[torch.Tensor, Tuple[torch.Tensor, dict]]:
+ z = self.encoder(x)
+ if unregularized:
+ return z, dict()
+ z, reg_log = self.regularization(z)
+ if return_reg_log:
+ return z, reg_log
+ return z
- def to_rgb(self, x):
- assert self.image_key == "segmentation"
- if not hasattr(self, "colorize"):
- self.register_buffer("colorize", torch.randn(3, x.shape[1], 1, 1).to(x))
- x = F.conv2d(x, weight=self.colorize)
- x = 2.*(x-x.min())/(x.max()-x.min()) - 1.
+ def decode(self, z: torch.Tensor, **kwargs) -> torch.Tensor:
+ x = self.decoder(z, **kwargs)
return x
+ def forward(
+ self, x: torch.Tensor, **additional_decode_kwargs
+ ) -> Tuple[torch.Tensor, torch.Tensor, dict]:
+ z, reg_log = self.encode(x, return_reg_log=True)
+ dec = self.decode(z, **additional_decode_kwargs)
+ return z, dec, reg_log
-class IdentityFirstStage(torch.nn.Module):
- def __init__(self, *args, vq_interface=False, **kwargs):
- self.vq_interface = vq_interface
- super().__init__()
- def encode(self, x, *args, **kwargs):
- return x
+class AutoencodingEngineLegacy(AutoencodingEngine):
+ def __init__(self, embed_dim: int, **kwargs):
+ self.max_batch_size = kwargs.pop("max_batch_size", None)
+ ddconfig = kwargs.pop("ddconfig")
+ super().__init__(
+ encoder_config={
+ "target": "comfy.ldm.modules.diffusionmodules.model.Encoder",
+ "params": ddconfig,
+ },
+ decoder_config={
+ "target": "comfy.ldm.modules.diffusionmodules.model.Decoder",
+ "params": ddconfig,
+ },
+ **kwargs,
+ )
+ self.quant_conv = torch.nn.Conv2d(
+ (1 + ddconfig["double_z"]) * ddconfig["z_channels"],
+ (1 + ddconfig["double_z"]) * embed_dim,
+ 1,
+ )
+ self.post_quant_conv = torch.nn.Conv2d(embed_dim, ddconfig["z_channels"], 1)
+ self.embed_dim = embed_dim
- def decode(self, x, *args, **kwargs):
- return x
+ def get_autoencoder_params(self) -> list:
+ params = super().get_autoencoder_params()
+ return params
- def quantize(self, x, *args, **kwargs):
- if self.vq_interface:
- return x, None, [None, None, None]
- return x
+ def encode(
+ self, x: torch.Tensor, return_reg_log: bool = False
+ ) -> Union[torch.Tensor, Tuple[torch.Tensor, dict]]:
+ if self.max_batch_size is None:
+ z = self.encoder(x)
+ z = self.quant_conv(z)
+ else:
+ N = x.shape[0]
+ bs = self.max_batch_size
+ n_batches = int(math.ceil(N / bs))
+ z = list()
+ for i_batch in range(n_batches):
+ z_batch = self.encoder(x[i_batch * bs : (i_batch + 1) * bs])
+ z_batch = self.quant_conv(z_batch)
+ z.append(z_batch)
+ z = torch.cat(z, 0)
- def forward(self, x, *args, **kwargs):
- return x
+ z, reg_log = self.regularization(z)
+ if return_reg_log:
+ return z, reg_log
+ return z
+ def decode(self, z: torch.Tensor, **decoder_kwargs) -> torch.Tensor:
+ if self.max_batch_size is None:
+ dec = self.post_quant_conv(z)
+ dec = self.decoder(dec, **decoder_kwargs)
+ else:
+ N = z.shape[0]
+ bs = self.max_batch_size
+ n_batches = int(math.ceil(N / bs))
+ dec = list()
+ for i_batch in range(n_batches):
+ dec_batch = self.post_quant_conv(z[i_batch * bs : (i_batch + 1) * bs])
+ dec_batch = self.decoder(dec_batch, **decoder_kwargs)
+ dec.append(dec_batch)
+ dec = torch.cat(dec, 0)
+
+ return dec
+
+
+class AutoencoderKL(AutoencodingEngineLegacy):
+ def __init__(self, **kwargs):
+ if "lossconfig" in kwargs:
+ kwargs["loss_config"] = kwargs.pop("lossconfig")
+ super().__init__(
+ regularizer_config={
+ "target": (
+ "comfy.ldm.models.autoencoder.DiagonalGaussianRegularizer"
+ )
+ },
+ **kwargs,
+ )
diff --git a/comfy/ldm/modules/attention.py b/comfy/ldm/modules/attention.py
index fcae6b66a..dcf467489 100644
--- a/comfy/ldm/modules/attention.py
+++ b/comfy/ldm/modules/attention.py
@@ -94,253 +94,256 @@ def zero_module(module):
def Normalize(in_channels, dtype=None, device=None):
return torch.nn.GroupNorm(num_groups=32, num_channels=in_channels, eps=1e-6, affine=True, dtype=dtype, device=device)
+def attention_basic(q, k, v, heads, mask=None):
+ b, _, dim_head = q.shape
+ dim_head //= heads
+ scale = dim_head ** -0.5
-class SpatialSelfAttention(nn.Module):
- def __init__(self, in_channels):
- super().__init__()
- self.in_channels = in_channels
+ h = heads
+ q, k, v = map(
+ lambda t: t.unsqueeze(3)
+ .reshape(b, -1, heads, dim_head)
+ .permute(0, 2, 1, 3)
+ .reshape(b * heads, -1, dim_head)
+ .contiguous(),
+ (q, k, v),
+ )
- self.norm = Normalize(in_channels)
- self.q = torch.nn.Conv2d(in_channels,
- in_channels,
- kernel_size=1,
- stride=1,
- padding=0)
- self.k = torch.nn.Conv2d(in_channels,
- in_channels,
- kernel_size=1,
- stride=1,
- padding=0)
- self.v = torch.nn.Conv2d(in_channels,
- in_channels,
- kernel_size=1,
- stride=1,
- padding=0)
- self.proj_out = torch.nn.Conv2d(in_channels,
- in_channels,
- kernel_size=1,
- stride=1,
- padding=0)
+ # force cast to fp32 to avoid overflowing
+ if _ATTN_PRECISION =="fp32":
+ with torch.autocast(enabled=False, device_type = 'cuda'):
+ q, k = q.float(), k.float()
+ sim = einsum('b i d, b j d -> b i j', q, k) * scale
+ else:
+ sim = einsum('b i d, b j d -> b i j', q, k) * scale
- def forward(self, x):
- h_ = x
- h_ = self.norm(h_)
- q = self.q(h_)
- k = self.k(h_)
- v = self.v(h_)
+ del q, k
- # compute attention
- b,c,h,w = q.shape
- q = rearrange(q, 'b c h w -> b (h w) c')
- k = rearrange(k, 'b c h w -> b c (h w)')
- w_ = torch.einsum('bij,bjk->bik', q, k)
+ if exists(mask):
+ mask = rearrange(mask, 'b ... -> b (...)')
+ max_neg_value = -torch.finfo(sim.dtype).max
+ mask = repeat(mask, 'b j -> (b h) () j', h=h)
+ sim.masked_fill_(~mask, max_neg_value)
- w_ = w_ * (int(c)**(-0.5))
- w_ = torch.nn.functional.softmax(w_, dim=2)
+ # attention, what we cannot get enough of
+ sim = sim.softmax(dim=-1)
- # attend to values
- v = rearrange(v, 'b c h w -> b c (h w)')
- w_ = rearrange(w_, 'b i j -> b j i')
- h_ = torch.einsum('bij,bjk->bik', v, w_)
- h_ = rearrange(h_, 'b c (h w) -> b c h w', h=h)
- h_ = self.proj_out(h_)
-
- return x+h_
+ out = einsum('b i j, b j d -> b i d', sim.to(v.dtype), v)
+ out = (
+ out.unsqueeze(0)
+ .reshape(b, heads, -1, dim_head)
+ .permute(0, 2, 1, 3)
+ .reshape(b, -1, heads * dim_head)
+ )
+ return out
-class CrossAttentionBirchSan(nn.Module):
- def __init__(self, query_dim, context_dim=None, heads=8, dim_head=64, dropout=0., dtype=None, device=None, operations=comfy.ops):
- super().__init__()
- inner_dim = dim_head * heads
- context_dim = default(context_dim, query_dim)
+def attention_sub_quad(query, key, value, heads, mask=None):
+ b, _, dim_head = query.shape
+ dim_head //= heads
- self.scale = dim_head ** -0.5
- self.heads = heads
+ scale = dim_head ** -0.5
+ query = query.unsqueeze(3).reshape(b, -1, heads, dim_head).permute(0, 2, 1, 3).reshape(b * heads, -1, dim_head)
+ value = value.unsqueeze(3).reshape(b, -1, heads, dim_head).permute(0, 2, 1, 3).reshape(b * heads, -1, dim_head)
- self.to_q = operations.Linear(query_dim, inner_dim, bias=False, dtype=dtype, device=device)
- self.to_k = operations.Linear(context_dim, inner_dim, bias=False, dtype=dtype, device=device)
- self.to_v = operations.Linear(context_dim, inner_dim, bias=False, dtype=dtype, device=device)
+ key = key.unsqueeze(3).reshape(b, -1, heads, dim_head).permute(0, 2, 3, 1).reshape(b * heads, dim_head, -1)
- self.to_out = nn.Sequential(
- operations.Linear(inner_dim, query_dim, dtype=dtype, device=device),
- nn.Dropout(dropout)
- )
+ dtype = query.dtype
+ upcast_attention = _ATTN_PRECISION =="fp32" and query.dtype != torch.float32
+ if upcast_attention:
+ bytes_per_token = torch.finfo(torch.float32).bits//8
+ else:
+ bytes_per_token = torch.finfo(query.dtype).bits//8
+ batch_x_heads, q_tokens, _ = query.shape
+ _, _, k_tokens = key.shape
+ qk_matmul_size_bytes = batch_x_heads * bytes_per_token * q_tokens * k_tokens
- def forward(self, x, context=None, value=None, mask=None):
- h = self.heads
+ mem_free_total, mem_free_torch = model_management.get_free_memory(query.device, True)
- query = self.to_q(x)
- context = default(context, x)
- key = self.to_k(context)
- if value is not None:
- value = self.to_v(value)
- else:
- value = self.to_v(context)
+ chunk_threshold_bytes = mem_free_torch * 0.5 #Using only this seems to work better on AMD
- del context, x
+ kv_chunk_size_min = None
- query = query.unflatten(-1, (self.heads, -1)).transpose(1,2).flatten(end_dim=1)
- key_t = key.transpose(1,2).unflatten(1, (self.heads, -1)).flatten(end_dim=1)
- del key
- value = value.unflatten(-1, (self.heads, -1)).transpose(1,2).flatten(end_dim=1)
+ #not sure at all about the math here
+ #TODO: tweak this
+ if mem_free_total > 8192 * 1024 * 1024 * 1.3:
+ query_chunk_size_x = 1024 * 4
+ elif mem_free_total > 4096 * 1024 * 1024 * 1.3:
+ query_chunk_size_x = 1024 * 2
+ else:
+ query_chunk_size_x = 1024
+ kv_chunk_size_min_x = None
+ kv_chunk_size_x = (int((chunk_threshold_bytes // (batch_x_heads * bytes_per_token * query_chunk_size_x)) * 2.0) // 1024) * 1024
+ if kv_chunk_size_x < 1024:
+ kv_chunk_size_x = None
- dtype = query.dtype
- upcast_attention = _ATTN_PRECISION =="fp32" and query.dtype != torch.float32
- if upcast_attention:
- bytes_per_token = torch.finfo(torch.float32).bits//8
- else:
- bytes_per_token = torch.finfo(query.dtype).bits//8
- batch_x_heads, q_tokens, _ = query.shape
- _, _, k_tokens = key_t.shape
- qk_matmul_size_bytes = batch_x_heads * bytes_per_token * q_tokens * k_tokens
+ if chunk_threshold_bytes is not None and qk_matmul_size_bytes <= chunk_threshold_bytes:
+ # the big matmul fits into our memory limit; do everything in 1 chunk,
+ # i.e. send it down the unchunked fast-path
+ query_chunk_size = q_tokens
+ kv_chunk_size = k_tokens
+ else:
+ query_chunk_size = query_chunk_size_x
+ kv_chunk_size = kv_chunk_size_x
+ kv_chunk_size_min = kv_chunk_size_min_x
- mem_free_total, mem_free_torch = model_management.get_free_memory(query.device, True)
+ hidden_states = efficient_dot_product_attention(
+ query,
+ key,
+ value,
+ query_chunk_size=query_chunk_size,
+ kv_chunk_size=kv_chunk_size,
+ kv_chunk_size_min=kv_chunk_size_min,
+ use_checkpoint=False,
+ upcast_attention=upcast_attention,
+ )
- chunk_threshold_bytes = mem_free_torch * 0.5 #Using only this seems to work better on AMD
+ hidden_states = hidden_states.to(dtype)
- kv_chunk_size_min = None
+ hidden_states = hidden_states.unflatten(0, (-1, heads)).transpose(1,2).flatten(start_dim=2)
+ return hidden_states
- #not sure at all about the math here
- #TODO: tweak this
- if mem_free_total > 8192 * 1024 * 1024 * 1.3:
- query_chunk_size_x = 1024 * 4
- elif mem_free_total > 4096 * 1024 * 1024 * 1.3:
- query_chunk_size_x = 1024 * 2
- else:
- query_chunk_size_x = 1024
- kv_chunk_size_min_x = None
- kv_chunk_size_x = (int((chunk_threshold_bytes // (batch_x_heads * bytes_per_token * query_chunk_size_x)) * 2.0) // 1024) * 1024
- if kv_chunk_size_x < 1024:
- kv_chunk_size_x = None
+def attention_split(q, k, v, heads, mask=None):
+ b, _, dim_head = q.shape
+ dim_head //= heads
+ scale = dim_head ** -0.5
- if chunk_threshold_bytes is not None and qk_matmul_size_bytes <= chunk_threshold_bytes:
- # the big matmul fits into our memory limit; do everything in 1 chunk,
- # i.e. send it down the unchunked fast-path
- query_chunk_size = q_tokens
- kv_chunk_size = k_tokens
- else:
- query_chunk_size = query_chunk_size_x
- kv_chunk_size = kv_chunk_size_x
- kv_chunk_size_min = kv_chunk_size_min_x
+ h = heads
+ q, k, v = map(
+ lambda t: t.unsqueeze(3)
+ .reshape(b, -1, heads, dim_head)
+ .permute(0, 2, 1, 3)
+ .reshape(b * heads, -1, dim_head)
+ .contiguous(),
+ (q, k, v),
+ )
- hidden_states = efficient_dot_product_attention(
- query,
- key_t,
- value,
- query_chunk_size=query_chunk_size,
- kv_chunk_size=kv_chunk_size,
- kv_chunk_size_min=kv_chunk_size_min,
- use_checkpoint=self.training,
- upcast_attention=upcast_attention,
- )
+ r1 = torch.zeros(q.shape[0], q.shape[1], v.shape[2], device=q.device, dtype=q.dtype)
- hidden_states = hidden_states.to(dtype)
+ mem_free_total = model_management.get_free_memory(q.device)
- hidden_states = hidden_states.unflatten(0, (-1, self.heads)).transpose(1,2).flatten(start_dim=2)
-
- out_proj, dropout = self.to_out
- hidden_states = out_proj(hidden_states)
- hidden_states = dropout(hidden_states)
-
- return hidden_states
+ gb = 1024 ** 3
+ tensor_size = q.shape[0] * q.shape[1] * k.shape[1] * q.element_size()
+ modifier = 3 if q.element_size() == 2 else 2.5
+ mem_required = tensor_size * modifier
+ steps = 1
-class CrossAttentionDoggettx(nn.Module):
- def __init__(self, query_dim, context_dim=None, heads=8, dim_head=64, dropout=0., dtype=None, device=None, operations=comfy.ops):
- super().__init__()
- inner_dim = dim_head * heads
- context_dim = default(context_dim, query_dim)
+ if mem_required > mem_free_total:
+ steps = 2**(math.ceil(math.log(mem_required / mem_free_total, 2)))
+ # print(f"Expected tensor size:{tensor_size/gb:0.1f}GB, cuda free:{mem_free_cuda/gb:0.1f}GB "
+ # f"torch free:{mem_free_torch/gb:0.1f} total:{mem_free_total/gb:0.1f} steps:{steps}")
- self.scale = dim_head ** -0.5
- self.heads = heads
+ if steps > 64:
+ max_res = math.floor(math.sqrt(math.sqrt(mem_free_total / 2.5)) / 8) * 64
+ raise RuntimeError(f'Not enough memory, use lower resolution (max approx. {max_res}x{max_res}). '
+ f'Need: {mem_required/64/gb:0.1f}GB free, Have:{mem_free_total/gb:0.1f}GB free')
- self.to_q = operations.Linear(query_dim, inner_dim, bias=False, dtype=dtype, device=device)
- self.to_k = operations.Linear(context_dim, inner_dim, bias=False, dtype=dtype, device=device)
- self.to_v = operations.Linear(context_dim, inner_dim, bias=False, dtype=dtype, device=device)
-
- self.to_out = nn.Sequential(
- operations.Linear(inner_dim, query_dim, dtype=dtype, device=device),
- nn.Dropout(dropout)
- )
-
- def forward(self, x, context=None, value=None, mask=None):
- h = self.heads
-
- q_in = self.to_q(x)
- context = default(context, x)
- k_in = self.to_k(context)
- if value is not None:
- v_in = self.to_v(value)
- del value
- else:
- v_in = self.to_v(context)
- del context, x
-
- q, k, v = map(lambda t: rearrange(t, 'b n (h d) -> (b h) n d', h=h), (q_in, k_in, v_in))
- del q_in, k_in, v_in
-
- r1 = torch.zeros(q.shape[0], q.shape[1], v.shape[2], device=q.device, dtype=q.dtype)
-
- mem_free_total = model_management.get_free_memory(q.device)
-
- gb = 1024 ** 3
- tensor_size = q.shape[0] * q.shape[1] * k.shape[1] * q.element_size()
- modifier = 3 if q.element_size() == 2 else 2.5
- mem_required = tensor_size * modifier
- steps = 1
-
-
- if mem_required > mem_free_total:
- steps = 2**(math.ceil(math.log(mem_required / mem_free_total, 2)))
- # print(f"Expected tensor size:{tensor_size/gb:0.1f}GB, cuda free:{mem_free_cuda/gb:0.1f}GB "
- # f"torch free:{mem_free_torch/gb:0.1f} total:{mem_free_total/gb:0.1f} steps:{steps}")
-
- if steps > 64:
- max_res = math.floor(math.sqrt(math.sqrt(mem_free_total / 2.5)) / 8) * 64
- raise RuntimeError(f'Not enough memory, use lower resolution (max approx. {max_res}x{max_res}). '
- f'Need: {mem_required/64/gb:0.1f}GB free, Have:{mem_free_total/gb:0.1f}GB free')
-
- # print("steps", steps, mem_required, mem_free_total, modifier, q.element_size(), tensor_size)
- first_op_done = False
- cleared_cache = False
- while True:
- try:
- slice_size = q.shape[1] // steps if (q.shape[1] % steps) == 0 else q.shape[1]
- for i in range(0, q.shape[1], slice_size):
- end = i + slice_size
- if _ATTN_PRECISION =="fp32":
- with torch.autocast(enabled=False, device_type = 'cuda'):
- s1 = einsum('b i d, b j d -> b i j', q[:, i:end].float(), k.float()) * self.scale
- else:
- s1 = einsum('b i d, b j d -> b i j', q[:, i:end], k) * self.scale
- first_op_done = True
-
- s2 = s1.softmax(dim=-1).to(v.dtype)
- del s1
-
- r1[:, i:end] = einsum('b i j, b j d -> b i d', s2, v)
- del s2
- break
- except model_management.OOM_EXCEPTION as e:
- if first_op_done == False:
- model_management.soft_empty_cache(True)
- if cleared_cache == False:
- cleared_cache = True
- print("out of memory error, emptying cache and trying again")
- continue
- steps *= 2
- if steps > 64:
- raise e
- print("out of memory error, increasing steps and trying again", steps)
+ # print("steps", steps, mem_required, mem_free_total, modifier, q.element_size(), tensor_size)
+ first_op_done = False
+ cleared_cache = False
+ while True:
+ try:
+ slice_size = q.shape[1] // steps if (q.shape[1] % steps) == 0 else q.shape[1]
+ for i in range(0, q.shape[1], slice_size):
+ end = i + slice_size
+ if _ATTN_PRECISION =="fp32":
+ with torch.autocast(enabled=False, device_type = 'cuda'):
+ s1 = einsum('b i d, b j d -> b i j', q[:, i:end].float(), k.float()) * scale
else:
+ s1 = einsum('b i d, b j d -> b i j', q[:, i:end], k) * scale
+ first_op_done = True
+
+ s2 = s1.softmax(dim=-1).to(v.dtype)
+ del s1
+
+ r1[:, i:end] = einsum('b i j, b j d -> b i d', s2, v)
+ del s2
+ break
+ except model_management.OOM_EXCEPTION as e:
+ if first_op_done == False:
+ model_management.soft_empty_cache(True)
+ if cleared_cache == False:
+ cleared_cache = True
+ print("out of memory error, emptying cache and trying again")
+ continue
+ steps *= 2
+ if steps > 64:
raise e
+ print("out of memory error, increasing steps and trying again", steps)
+ else:
+ raise e
- del q, k, v
+ del q, k, v
- r2 = rearrange(r1, '(b h) n d -> b n (h d)', h=h)
- del r1
+ r1 = (
+ r1.unsqueeze(0)
+ .reshape(b, heads, -1, dim_head)
+ .permute(0, 2, 1, 3)
+ .reshape(b, -1, heads * dim_head)
+ )
+ return r1
- return self.to_out(r2)
+def attention_xformers(q, k, v, heads, mask=None):
+ b, _, dim_head = q.shape
+ dim_head //= heads
+
+ q, k, v = map(
+ lambda t: t.unsqueeze(3)
+ .reshape(b, -1, heads, dim_head)
+ .permute(0, 2, 1, 3)
+ .reshape(b * heads, -1, dim_head)
+ .contiguous(),
+ (q, k, v),
+ )
+
+ # actually compute the attention, what we cannot get enough of
+ out = xformers.ops.memory_efficient_attention(q, k, v, attn_bias=None)
+
+ if exists(mask):
+ raise NotImplementedError
+ out = (
+ out.unsqueeze(0)
+ .reshape(b, heads, -1, dim_head)
+ .permute(0, 2, 1, 3)
+ .reshape(b, -1, heads * dim_head)
+ )
+ return out
+
+def attention_pytorch(q, k, v, heads, mask=None):
+ b, _, dim_head = q.shape
+ dim_head //= heads
+ q, k, v = map(
+ lambda t: t.view(b, -1, heads, dim_head).transpose(1, 2),
+ (q, k, v),
+ )
+
+ out = torch.nn.functional.scaled_dot_product_attention(q, k, v, attn_mask=mask, dropout_p=0.0, is_causal=False)
+ out = (
+ out.transpose(1, 2).reshape(b, -1, heads * dim_head)
+ )
+ return out
+
+
+optimized_attention = attention_basic
+optimized_attention_masked = attention_basic
+
+if model_management.xformers_enabled():
+ print("Using xformers cross attention")
+ optimized_attention = attention_xformers
+elif model_management.pytorch_attention_enabled():
+ print("Using pytorch cross attention")
+ optimized_attention = attention_pytorch
+else:
+ if args.use_split_cross_attention:
+ print("Using split optimization for cross attention")
+ optimized_attention = attention_split
+ else:
+ print("Using sub quadratic optimization for cross attention, if you have memory or speed issues try using: --use-split-cross-attention")
+ optimized_attention = attention_sub_quad
+
+if model_management.pytorch_attention_enabled():
+ optimized_attention_masked = attention_pytorch
class CrossAttention(nn.Module):
def __init__(self, query_dim, context_dim=None, heads=8, dim_head=64, dropout=0., dtype=None, device=None, operations=comfy.ops):
@@ -348,62 +351,6 @@ class CrossAttention(nn.Module):
inner_dim = dim_head * heads
context_dim = default(context_dim, query_dim)
- self.scale = dim_head ** -0.5
- self.heads = heads
-
- self.to_q = operations.Linear(query_dim, inner_dim, bias=False, dtype=dtype, device=device)
- self.to_k = operations.Linear(context_dim, inner_dim, bias=False, dtype=dtype, device=device)
- self.to_v = operations.Linear(context_dim, inner_dim, bias=False, dtype=dtype, device=device)
-
- self.to_out = nn.Sequential(
- operations.Linear(inner_dim, query_dim, dtype=dtype, device=device),
- nn.Dropout(dropout)
- )
-
- def forward(self, x, context=None, value=None, mask=None):
- h = self.heads
-
- q = self.to_q(x)
- context = default(context, x)
- k = self.to_k(context)
- if value is not None:
- v = self.to_v(value)
- del value
- else:
- v = self.to_v(context)
-
- q, k, v = map(lambda t: rearrange(t, 'b n (h d) -> (b h) n d', h=h), (q, k, v))
-
- # force cast to fp32 to avoid overflowing
- if _ATTN_PRECISION =="fp32":
- with torch.autocast(enabled=False, device_type = 'cuda'):
- q, k = q.float(), k.float()
- sim = einsum('b i d, b j d -> b i j', q, k) * self.scale
- else:
- sim = einsum('b i d, b j d -> b i j', q, k) * self.scale
-
- del q, k
-
- if exists(mask):
- mask = rearrange(mask, 'b ... -> b (...)')
- max_neg_value = -torch.finfo(sim.dtype).max
- mask = repeat(mask, 'b j -> (b h) () j', h=h)
- sim.masked_fill_(~mask, max_neg_value)
-
- # attention, what we cannot get enough of
- sim = sim.softmax(dim=-1)
-
- out = einsum('b i j, b j d -> b i d', sim, v)
- out = rearrange(out, '(b h) n d -> b n (h d)', h=h)
- return self.to_out(out)
-
-class MemoryEfficientCrossAttention(nn.Module):
- # https://github.com/MatthieuTPHR/diffusers/blob/d80b531ff8060ec1ea982b65a1b8df70f73aa67c/src/diffusers/models/attention.py#L223
- def __init__(self, query_dim, context_dim=None, heads=8, dim_head=64, dropout=0.0, dtype=None, device=None, operations=comfy.ops):
- super().__init__()
- inner_dim = dim_head * heads
- context_dim = default(context_dim, query_dim)
-
self.heads = heads
self.dim_head = dim_head
@@ -412,7 +359,6 @@ class MemoryEfficientCrossAttention(nn.Module):
self.to_v = operations.Linear(context_dim, inner_dim, bias=False, dtype=dtype, device=device)
self.to_out = nn.Sequential(operations.Linear(inner_dim, query_dim, dtype=dtype, device=device), nn.Dropout(dropout))
- self.attention_op: Optional[Any] = None
def forward(self, x, context=None, value=None, mask=None):
q = self.to_q(x)
@@ -424,85 +370,12 @@ class MemoryEfficientCrossAttention(nn.Module):
else:
v = self.to_v(context)
- b, _, _ = q.shape
- q, k, v = map(
- lambda t: t.unsqueeze(3)
- .reshape(b, t.shape[1], self.heads, self.dim_head)
- .permute(0, 2, 1, 3)
- .reshape(b * self.heads, t.shape[1], self.dim_head)
- .contiguous(),
- (q, k, v),
- )
-
- # actually compute the attention, what we cannot get enough of
- out = xformers.ops.memory_efficient_attention(q, k, v, attn_bias=None, op=self.attention_op)
-
- if exists(mask):
- raise NotImplementedError
- out = (
- out.unsqueeze(0)
- .reshape(b, self.heads, out.shape[1], self.dim_head)
- .permute(0, 2, 1, 3)
- .reshape(b, out.shape[1], self.heads * self.dim_head)
- )
- return self.to_out(out)
-
-class CrossAttentionPytorch(nn.Module):
- def __init__(self, query_dim, context_dim=None, heads=8, dim_head=64, dropout=0., dtype=None, device=None, operations=comfy.ops):
- super().__init__()
- inner_dim = dim_head * heads
- context_dim = default(context_dim, query_dim)
-
- self.heads = heads
- self.dim_head = dim_head
-
- self.to_q = operations.Linear(query_dim, inner_dim, bias=False, dtype=dtype, device=device)
- self.to_k = operations.Linear(context_dim, inner_dim, bias=False, dtype=dtype, device=device)
- self.to_v = operations.Linear(context_dim, inner_dim, bias=False, dtype=dtype, device=device)
-
- self.to_out = nn.Sequential(operations.Linear(inner_dim, query_dim, dtype=dtype, device=device), nn.Dropout(dropout))
- self.attention_op: Optional[Any] = None
-
- def forward(self, x, context=None, value=None, mask=None):
- q = self.to_q(x)
- context = default(context, x)
- k = self.to_k(context)
- if value is not None:
- v = self.to_v(value)
- del value
+ if mask is None:
+ out = optimized_attention(q, k, v, self.heads)
else:
- v = self.to_v(context)
-
- b, _, _ = q.shape
- q, k, v = map(
- lambda t: t.view(b, -1, self.heads, self.dim_head).transpose(1, 2),
- (q, k, v),
- )
-
- out = torch.nn.functional.scaled_dot_product_attention(q, k, v, attn_mask=None, dropout_p=0.0, is_causal=False)
-
- if exists(mask):
- raise NotImplementedError
- out = (
- out.transpose(1, 2).reshape(b, -1, self.heads * self.dim_head)
- )
-
+ out = optimized_attention_masked(q, k, v, self.heads, mask)
return self.to_out(out)
-if model_management.xformers_enabled():
- print("Using xformers cross attention")
- CrossAttention = MemoryEfficientCrossAttention
-elif model_management.pytorch_attention_enabled():
- print("Using pytorch cross attention")
- CrossAttention = CrossAttentionPytorch
-else:
- if args.use_split_cross_attention:
- print("Using split optimization for cross attention")
- CrossAttention = CrossAttentionDoggettx
- else:
- print("Using sub quadratic optimization for cross attention, if you have memory or speed issues try using: --use-split-cross-attention")
- CrossAttention = CrossAttentionBirchSan
-
class BasicTransformerBlock(nn.Module):
def __init__(self, dim, n_heads, d_head, dropout=0., context_dim=None, gated_ff=True, checkpoint=True,
diff --git a/comfy/ldm/modules/diffusionmodules/model.py b/comfy/ldm/modules/diffusionmodules/model.py
index 5f38640c3..f23417fd2 100644
--- a/comfy/ldm/modules/diffusionmodules/model.py
+++ b/comfy/ldm/modules/diffusionmodules/model.py
@@ -6,7 +6,6 @@ import numpy as np
from einops import rearrange
from typing import Optional, Any
-from ..attention import MemoryEfficientCrossAttention
from comfy import model_management
import comfy.ops
@@ -194,6 +193,52 @@ def slice_attention(q, k, v):
return r1
+def normal_attention(q, k, v):
+ # compute attention
+ b,c,h,w = q.shape
+
+ q = q.reshape(b,c,h*w)
+ q = q.permute(0,2,1) # b,hw,c
+ k = k.reshape(b,c,h*w) # b,c,hw
+ v = v.reshape(b,c,h*w)
+
+ r1 = slice_attention(q, k, v)
+ h_ = r1.reshape(b,c,h,w)
+ del r1
+ return h_
+
+def xformers_attention(q, k, v):
+ # compute attention
+ B, C, H, W = q.shape
+ q, k, v = map(
+ lambda t: t.view(B, C, -1).transpose(1, 2).contiguous(),
+ (q, k, v),
+ )
+
+ try:
+ out = xformers.ops.memory_efficient_attention(q, k, v, attn_bias=None)
+ out = out.transpose(1, 2).reshape(B, C, H, W)
+ except NotImplementedError as e:
+ out = slice_attention(q.view(B, -1, C), k.view(B, -1, C).transpose(1, 2), v.view(B, -1, C).transpose(1, 2)).reshape(B, C, H, W)
+ return out
+
+def pytorch_attention(q, k, v):
+ # compute attention
+ B, C, H, W = q.shape
+ q, k, v = map(
+ lambda t: t.view(B, 1, C, -1).transpose(2, 3).contiguous(),
+ (q, k, v),
+ )
+
+ try:
+ out = torch.nn.functional.scaled_dot_product_attention(q, k, v, attn_mask=None, dropout_p=0.0, is_causal=False)
+ out = out.transpose(2, 3).reshape(B, C, H, W)
+ except model_management.OOM_EXCEPTION as e:
+ print("scaled_dot_product_attention OOMed: switched to slice attention")
+ out = slice_attention(q.view(B, -1, C), k.view(B, -1, C).transpose(1, 2), v.view(B, -1, C).transpose(1, 2)).reshape(B, C, H, W)
+ return out
+
+
class AttnBlock(nn.Module):
def __init__(self, in_channels):
super().__init__()
@@ -221,6 +266,16 @@ class AttnBlock(nn.Module):
stride=1,
padding=0)
+ if model_management.xformers_enabled_vae():
+ print("Using xformers attention in VAE")
+ self.optimized_attention = xformers_attention
+ elif model_management.pytorch_attention_enabled():
+ print("Using pytorch attention in VAE")
+ self.optimized_attention = pytorch_attention
+ else:
+ print("Using split attention in VAE")
+ self.optimized_attention = normal_attention
+
def forward(self, x):
h_ = x
h_ = self.norm(h_)
@@ -228,161 +283,15 @@ class AttnBlock(nn.Module):
k = self.k(h_)
v = self.v(h_)
- # compute attention
- b,c,h,w = q.shape
+ h_ = self.optimized_attention(q, k, v)
- q = q.reshape(b,c,h*w)
- q = q.permute(0,2,1) # b,hw,c
- k = k.reshape(b,c,h*w) # b,c,hw
- v = v.reshape(b,c,h*w)
-
- r1 = slice_attention(q, k, v)
- h_ = r1.reshape(b,c,h,w)
- del r1
h_ = self.proj_out(h_)
return x+h_
-class MemoryEfficientAttnBlock(nn.Module):
- """
- Uses xformers efficient implementation,
- see https://github.com/MatthieuTPHR/diffusers/blob/d80b531ff8060ec1ea982b65a1b8df70f73aa67c/src/diffusers/models/attention.py#L223
- Note: this is a single-head self-attention operation
- """
- #
- def __init__(self, in_channels):
- super().__init__()
- self.in_channels = in_channels
-
- self.norm = Normalize(in_channels)
- self.q = comfy.ops.Conv2d(in_channels,
- in_channels,
- kernel_size=1,
- stride=1,
- padding=0)
- self.k = comfy.ops.Conv2d(in_channels,
- in_channels,
- kernel_size=1,
- stride=1,
- padding=0)
- self.v = comfy.ops.Conv2d(in_channels,
- in_channels,
- kernel_size=1,
- stride=1,
- padding=0)
- self.proj_out = comfy.ops.Conv2d(in_channels,
- in_channels,
- kernel_size=1,
- stride=1,
- padding=0)
- self.attention_op: Optional[Any] = None
-
- def forward(self, x):
- h_ = x
- h_ = self.norm(h_)
- q = self.q(h_)
- k = self.k(h_)
- v = self.v(h_)
-
- # compute attention
- B, C, H, W = q.shape
- q, k, v = map(
- lambda t: t.view(B, C, -1).transpose(1, 2).contiguous(),
- (q, k, v),
- )
-
- try:
- out = xformers.ops.memory_efficient_attention(q, k, v, attn_bias=None, op=self.attention_op)
- out = out.transpose(1, 2).reshape(B, C, H, W)
- except NotImplementedError as e:
- out = slice_attention(q.view(B, -1, C), k.view(B, -1, C).transpose(1, 2), v.view(B, -1, C).transpose(1, 2)).reshape(B, C, H, W)
-
- out = self.proj_out(out)
- return x+out
-
-class MemoryEfficientAttnBlockPytorch(nn.Module):
- def __init__(self, in_channels):
- super().__init__()
- self.in_channels = in_channels
-
- self.norm = Normalize(in_channels)
- self.q = comfy.ops.Conv2d(in_channels,
- in_channels,
- kernel_size=1,
- stride=1,
- padding=0)
- self.k = comfy.ops.Conv2d(in_channels,
- in_channels,
- kernel_size=1,
- stride=1,
- padding=0)
- self.v = comfy.ops.Conv2d(in_channels,
- in_channels,
- kernel_size=1,
- stride=1,
- padding=0)
- self.proj_out = comfy.ops.Conv2d(in_channels,
- in_channels,
- kernel_size=1,
- stride=1,
- padding=0)
- self.attention_op: Optional[Any] = None
-
- def forward(self, x):
- h_ = x
- h_ = self.norm(h_)
- q = self.q(h_)
- k = self.k(h_)
- v = self.v(h_)
-
- # compute attention
- B, C, H, W = q.shape
- q, k, v = map(
- lambda t: t.view(B, 1, C, -1).transpose(2, 3).contiguous(),
- (q, k, v),
- )
-
- try:
- out = torch.nn.functional.scaled_dot_product_attention(q, k, v, attn_mask=None, dropout_p=0.0, is_causal=False)
- out = out.transpose(2, 3).reshape(B, C, H, W)
- except model_management.OOM_EXCEPTION as e:
- print("scaled_dot_product_attention OOMed: switched to slice attention")
- out = slice_attention(q.view(B, -1, C), k.view(B, -1, C).transpose(1, 2), v.view(B, -1, C).transpose(1, 2)).reshape(B, C, H, W)
-
- out = self.proj_out(out)
- return x+out
-
-class MemoryEfficientCrossAttentionWrapper(MemoryEfficientCrossAttention):
- def forward(self, x, context=None, mask=None):
- b, c, h, w = x.shape
- x = rearrange(x, 'b c h w -> b (h w) c')
- out = super().forward(x, context=context, mask=mask)
- out = rearrange(out, 'b (h w) c -> b c h w', h=h, w=w, c=c)
- return x + out
-
def make_attn(in_channels, attn_type="vanilla", attn_kwargs=None):
- assert attn_type in ["vanilla", "vanilla-xformers", "memory-efficient-cross-attn", "linear", "none"], f'attn_type {attn_type} unknown'
- if model_management.xformers_enabled_vae() and attn_type == "vanilla":
- attn_type = "vanilla-xformers"
- if model_management.pytorch_attention_enabled() and attn_type == "vanilla":
- attn_type = "vanilla-pytorch"
- print(f"making attention of type '{attn_type}' with {in_channels} in_channels")
- if attn_type == "vanilla":
- assert attn_kwargs is None
- return AttnBlock(in_channels)
- elif attn_type == "vanilla-xformers":
- print(f"building MemoryEfficientAttnBlock with {in_channels} in_channels...")
- return MemoryEfficientAttnBlock(in_channels)
- elif attn_type == "vanilla-pytorch":
- return MemoryEfficientAttnBlockPytorch(in_channels)
- elif type == "memory-efficient-cross-attn":
- attn_kwargs["query_dim"] = in_channels
- return MemoryEfficientCrossAttentionWrapper(**attn_kwargs)
- elif attn_type == "none":
- return nn.Identity(in_channels)
- else:
- raise NotImplementedError()
+ return AttnBlock(in_channels)
class Model(nn.Module):
@@ -632,7 +541,10 @@ class Decoder(nn.Module):
def __init__(self, *, ch, out_ch, ch_mult=(1,2,4,8), num_res_blocks,
attn_resolutions, dropout=0.0, resamp_with_conv=True, in_channels,
resolution, z_channels, give_pre_end=False, tanh_out=False, use_linear_attn=False,
- attn_type="vanilla", **ignorekwargs):
+ conv_out_op=comfy.ops.Conv2d,
+ resnet_op=ResnetBlock,
+ attn_op=AttnBlock,
+ **ignorekwargs):
super().__init__()
if use_linear_attn: attn_type = "linear"
self.ch = ch
@@ -661,12 +573,12 @@ class Decoder(nn.Module):
# middle
self.mid = nn.Module()
- self.mid.block_1 = ResnetBlock(in_channels=block_in,
+ self.mid.block_1 = resnet_op(in_channels=block_in,
out_channels=block_in,
temb_channels=self.temb_ch,
dropout=dropout)
- self.mid.attn_1 = make_attn(block_in, attn_type=attn_type)
- self.mid.block_2 = ResnetBlock(in_channels=block_in,
+ self.mid.attn_1 = attn_op(block_in)
+ self.mid.block_2 = resnet_op(in_channels=block_in,
out_channels=block_in,
temb_channels=self.temb_ch,
dropout=dropout)
@@ -678,13 +590,13 @@ class Decoder(nn.Module):
attn = nn.ModuleList()
block_out = ch*ch_mult[i_level]
for i_block in range(self.num_res_blocks+1):
- block.append(ResnetBlock(in_channels=block_in,
+ block.append(resnet_op(in_channels=block_in,
out_channels=block_out,
temb_channels=self.temb_ch,
dropout=dropout))
block_in = block_out
if curr_res in attn_resolutions:
- attn.append(make_attn(block_in, attn_type=attn_type))
+ attn.append(attn_op(block_in))
up = nn.Module()
up.block = block
up.attn = attn
@@ -695,13 +607,13 @@ class Decoder(nn.Module):
# end
self.norm_out = Normalize(block_in)
- self.conv_out = comfy.ops.Conv2d(block_in,
+ self.conv_out = conv_out_op(block_in,
out_ch,
kernel_size=3,
stride=1,
padding=1)
- def forward(self, z):
+ def forward(self, z, **kwargs):
#assert z.shape[1:] == self.z_shape[1:]
self.last_z_shape = z.shape
@@ -712,16 +624,16 @@ class Decoder(nn.Module):
h = self.conv_in(z)
# middle
- h = self.mid.block_1(h, temb)
- h = self.mid.attn_1(h)
- h = self.mid.block_2(h, temb)
+ h = self.mid.block_1(h, temb, **kwargs)
+ h = self.mid.attn_1(h, **kwargs)
+ h = self.mid.block_2(h, temb, **kwargs)
# upsampling
for i_level in reversed(range(self.num_resolutions)):
for i_block in range(self.num_res_blocks+1):
- h = self.up[i_level].block[i_block](h, temb)
+ h = self.up[i_level].block[i_block](h, temb, **kwargs)
if len(self.up[i_level].attn) > 0:
- h = self.up[i_level].attn[i_block](h)
+ h = self.up[i_level].attn[i_block](h, **kwargs)
if i_level != 0:
h = self.up[i_level].upsample(h)
@@ -731,7 +643,7 @@ class Decoder(nn.Module):
h = self.norm_out(h)
h = nonlinearity(h)
- h = self.conv_out(h)
+ h = self.conv_out(h, **kwargs)
if self.tanh_out:
h = torch.tanh(h)
return h
diff --git a/comfy/ldm/modules/diffusionmodules/openaimodel.py b/comfy/ldm/modules/diffusionmodules/openaimodel.py
index b42637c82..bf58a4045 100644
--- a/comfy/ldm/modules/diffusionmodules/openaimodel.py
+++ b/comfy/ldm/modules/diffusionmodules/openaimodel.py
@@ -296,8 +296,7 @@ class UNetModel(nn.Module):
dims=2,
num_classes=None,
use_checkpoint=False,
- use_fp16=False,
- use_bf16=False,
+ dtype=th.float32,
num_heads=-1,
num_head_channels=-1,
num_heads_upsample=-1,
@@ -370,8 +369,7 @@ class UNetModel(nn.Module):
self.conv_resample = conv_resample
self.num_classes = num_classes
self.use_checkpoint = use_checkpoint
- self.dtype = th.float16 if use_fp16 else th.float32
- self.dtype = th.bfloat16 if use_bf16 else self.dtype
+ self.dtype = dtype
self.num_heads = num_heads
self.num_head_channels = num_head_channels
self.num_heads_upsample = num_heads_upsample
diff --git a/comfy/model_base.py b/comfy/model_base.py
index ed2dc83e4..cda6765e4 100644
--- a/comfy/model_base.py
+++ b/comfy/model_base.py
@@ -26,6 +26,7 @@ class BaseModel(torch.nn.Module):
self.adm_channels = unet_config.get("adm_in_channels", None)
if self.adm_channels is None:
self.adm_channels = 0
+ self.inpaint_model = False
print("model_type", model_type.name)
print("adm", self.adm_channels)
@@ -71,6 +72,38 @@ class BaseModel(torch.nn.Module):
def encode_adm(self, **kwargs):
return None
+ def cond_concat(self, **kwargs):
+ if self.inpaint_model:
+ concat_keys = ("mask", "masked_image")
+ cond_concat = []
+ denoise_mask = kwargs.get("denoise_mask", None)
+ latent_image = kwargs.get("latent_image", None)
+ noise = kwargs.get("noise", None)
+ device = kwargs["device"]
+
+ def blank_inpaint_image_like(latent_image):
+ blank_image = torch.ones_like(latent_image)
+ # these are the values for "zero" in pixel space translated to latent space
+ blank_image[:,0] *= 0.8223
+ blank_image[:,1] *= -0.6876
+ blank_image[:,2] *= 0.6364
+ blank_image[:,3] *= 0.1380
+ return blank_image
+
+ for ck in concat_keys:
+ if denoise_mask is not None:
+ if ck == "mask":
+ cond_concat.append(denoise_mask[:,:1].to(device))
+ elif ck == "masked_image":
+ cond_concat.append(latent_image.to(device)) #NOTE: the latent_image should be masked by the mask in pixel space
+ else:
+ if ck == "mask":
+ cond_concat.append(torch.ones_like(noise)[:,:1])
+ elif ck == "masked_image":
+ cond_concat.append(blank_inpaint_image_like(noise))
+ return cond_concat
+ return None
+
def load_model_weights(self, sd, unet_prefix=""):
to_load = {}
keys = list(sd.keys())
@@ -112,7 +145,7 @@ class BaseModel(torch.nn.Module):
return {**unet_state_dict, **vae_state_dict, **clip_state_dict}
def set_inpaint(self):
- self.concat_keys = ("mask", "masked_image")
+ self.inpaint_model = True
def unclip_adm(unclip_conditioning, device, noise_augmentor, noise_augment_merge=0.0):
adm_inputs = []
diff --git a/comfy/model_detection.py b/comfy/model_detection.py
index 787c78575..0ff2e7fb5 100644
--- a/comfy/model_detection.py
+++ b/comfy/model_detection.py
@@ -14,7 +14,7 @@ def count_blocks(state_dict_keys, prefix_string):
count += 1
return count
-def detect_unet_config(state_dict, key_prefix, use_fp16):
+def detect_unet_config(state_dict, key_prefix, dtype):
state_dict_keys = list(state_dict.keys())
unet_config = {
@@ -32,7 +32,7 @@ def detect_unet_config(state_dict, key_prefix, use_fp16):
else:
unet_config["adm_in_channels"] = None
- unet_config["use_fp16"] = use_fp16
+ unet_config["dtype"] = dtype
model_channels = state_dict['{}input_blocks.0.0.weight'.format(key_prefix)].shape[0]
in_channels = state_dict['{}input_blocks.0.0.weight'.format(key_prefix)].shape[1]
@@ -116,15 +116,15 @@ def model_config_from_unet_config(unet_config):
print("no match", unet_config)
return None
-def model_config_from_unet(state_dict, unet_key_prefix, use_fp16, use_base_if_no_match=False):
- unet_config = detect_unet_config(state_dict, unet_key_prefix, use_fp16)
+def model_config_from_unet(state_dict, unet_key_prefix, dtype, use_base_if_no_match=False):
+ unet_config = detect_unet_config(state_dict, unet_key_prefix, dtype)
model_config = model_config_from_unet_config(unet_config)
if model_config is None and use_base_if_no_match:
return comfy.supported_models_base.BASE(unet_config)
else:
return model_config
-def unet_config_from_diffusers_unet(state_dict, use_fp16):
+def unet_config_from_diffusers_unet(state_dict, dtype):
match = {}
attention_resolutions = []
@@ -147,47 +147,47 @@ def unet_config_from_diffusers_unet(state_dict, use_fp16):
match["adm_in_channels"] = state_dict["add_embedding.linear_1.weight"].shape[1]
SDXL = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False,
- 'num_classes': 'sequential', 'adm_in_channels': 2816, 'use_fp16': use_fp16, 'in_channels': 4, 'model_channels': 320,
+ 'num_classes': 'sequential', 'adm_in_channels': 2816, 'dtype': dtype, 'in_channels': 4, 'model_channels': 320,
'num_res_blocks': 2, 'attention_resolutions': [2, 4], 'transformer_depth': [0, 2, 10], 'channel_mult': [1, 2, 4],
'transformer_depth_middle': 10, 'use_linear_in_transformer': True, 'context_dim': 2048, "num_head_channels": 64}
SDXL_refiner = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False,
- 'num_classes': 'sequential', 'adm_in_channels': 2560, 'use_fp16': use_fp16, 'in_channels': 4, 'model_channels': 384,
+ 'num_classes': 'sequential', 'adm_in_channels': 2560, 'dtype': dtype, 'in_channels': 4, 'model_channels': 384,
'num_res_blocks': 2, 'attention_resolutions': [2, 4], 'transformer_depth': [0, 4, 4, 0], 'channel_mult': [1, 2, 4, 4],
'transformer_depth_middle': 4, 'use_linear_in_transformer': True, 'context_dim': 1280, "num_head_channels": 64}
SD21 = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False,
- 'adm_in_channels': None, 'use_fp16': use_fp16, 'in_channels': 4, 'model_channels': 320, 'num_res_blocks': 2,
+ 'adm_in_channels': None, 'dtype': dtype, 'in_channels': 4, 'model_channels': 320, 'num_res_blocks': 2,
'attention_resolutions': [1, 2, 4], 'transformer_depth': [1, 1, 1, 0], 'channel_mult': [1, 2, 4, 4],
'transformer_depth_middle': 1, 'use_linear_in_transformer': True, 'context_dim': 1024, "num_head_channels": 64}
SD21_uncliph = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False,
- 'num_classes': 'sequential', 'adm_in_channels': 2048, 'use_fp16': use_fp16, 'in_channels': 4, 'model_channels': 320,
+ 'num_classes': 'sequential', 'adm_in_channels': 2048, 'dtype': dtype, 'in_channels': 4, 'model_channels': 320,
'num_res_blocks': 2, 'attention_resolutions': [1, 2, 4], 'transformer_depth': [1, 1, 1, 0], 'channel_mult': [1, 2, 4, 4],
'transformer_depth_middle': 1, 'use_linear_in_transformer': True, 'context_dim': 1024, "num_head_channels": 64}
SD21_unclipl = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False,
- 'num_classes': 'sequential', 'adm_in_channels': 1536, 'use_fp16': use_fp16, 'in_channels': 4, 'model_channels': 320,
+ 'num_classes': 'sequential', 'adm_in_channels': 1536, 'dtype': dtype, 'in_channels': 4, 'model_channels': 320,
'num_res_blocks': 2, 'attention_resolutions': [1, 2, 4], 'transformer_depth': [1, 1, 1, 0], 'channel_mult': [1, 2, 4, 4],
'transformer_depth_middle': 1, 'use_linear_in_transformer': True, 'context_dim': 1024}
SD15 = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False,
- 'adm_in_channels': None, 'use_fp16': use_fp16, 'in_channels': 4, 'model_channels': 320, 'num_res_blocks': 2,
+ 'adm_in_channels': None, 'dtype': dtype, 'in_channels': 4, 'model_channels': 320, 'num_res_blocks': 2,
'attention_resolutions': [1, 2, 4], 'transformer_depth': [1, 1, 1, 0], 'channel_mult': [1, 2, 4, 4],
'transformer_depth_middle': 1, 'use_linear_in_transformer': False, 'context_dim': 768, "num_heads": 8}
SDXL_mid_cnet = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False,
- 'num_classes': 'sequential', 'adm_in_channels': 2816, 'use_fp16': use_fp16, 'in_channels': 4, 'model_channels': 320,
+ 'num_classes': 'sequential', 'adm_in_channels': 2816, 'dtype': dtype, 'in_channels': 4, 'model_channels': 320,
'num_res_blocks': 2, 'attention_resolutions': [4], 'transformer_depth': [0, 0, 1], 'channel_mult': [1, 2, 4],
'transformer_depth_middle': 1, 'use_linear_in_transformer': True, 'context_dim': 2048, "num_head_channels": 64}
SDXL_small_cnet = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False,
- 'num_classes': 'sequential', 'adm_in_channels': 2816, 'use_fp16': use_fp16, 'in_channels': 4, 'model_channels': 320,
+ 'num_classes': 'sequential', 'adm_in_channels': 2816, 'dtype': dtype, 'in_channels': 4, 'model_channels': 320,
'num_res_blocks': 2, 'attention_resolutions': [], 'transformer_depth': [0, 0, 0], 'channel_mult': [1, 2, 4],
'transformer_depth_middle': 0, 'use_linear_in_transformer': True, "num_head_channels": 64, 'context_dim': 1}
SDXL_diffusers_inpaint = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False,
- 'num_classes': 'sequential', 'adm_in_channels': 2816, 'use_fp16': use_fp16, 'in_channels': 9, 'model_channels': 320,
+ 'num_classes': 'sequential', 'adm_in_channels': 2816, 'dtype': dtype, 'in_channels': 9, 'model_channels': 320,
'num_res_blocks': 2, 'attention_resolutions': [2, 4], 'transformer_depth': [0, 2, 10], 'channel_mult': [1, 2, 4],
'transformer_depth_middle': 10, 'use_linear_in_transformer': True, 'context_dim': 2048, "num_head_channels": 64}
@@ -203,8 +203,8 @@ def unet_config_from_diffusers_unet(state_dict, use_fp16):
return unet_config
return None
-def model_config_from_diffusers_unet(state_dict, use_fp16):
- unet_config = unet_config_from_diffusers_unet(state_dict, use_fp16)
+def model_config_from_diffusers_unet(state_dict, dtype):
+ unet_config = unet_config_from_diffusers_unet(state_dict, dtype)
if unet_config is not None:
return model_config_from_unet_config(unet_config)
return None
diff --git a/comfy/model_management.py b/comfy/model_management.py
index 8b8963726..53582fc73 100644
--- a/comfy/model_management.py
+++ b/comfy/model_management.py
@@ -154,14 +154,18 @@ def is_nvidia():
return True
return False
-ENABLE_PYTORCH_ATTENTION = args.use_pytorch_cross_attention
+ENABLE_PYTORCH_ATTENTION = False
+if args.use_pytorch_cross_attention:
+ ENABLE_PYTORCH_ATTENTION = True
+ XFORMERS_IS_AVAILABLE = False
+
VAE_DTYPE = torch.float32
try:
if is_nvidia():
torch_version = torch.version.__version__
if int(torch_version[0]) >= 2:
- if ENABLE_PYTORCH_ATTENTION == False and XFORMERS_IS_AVAILABLE == False and args.use_split_cross_attention == False and args.use_quad_cross_attention == False:
+ if ENABLE_PYTORCH_ATTENTION == False and args.use_split_cross_attention == False and args.use_quad_cross_attention == False:
ENABLE_PYTORCH_ATTENTION = True
if torch.cuda.is_bf16_supported():
VAE_DTYPE = torch.bfloat16
@@ -186,7 +190,6 @@ if ENABLE_PYTORCH_ATTENTION:
torch.backends.cuda.enable_math_sdp(True)
torch.backends.cuda.enable_flash_sdp(True)
torch.backends.cuda.enable_mem_efficient_sdp(True)
- XFORMERS_IS_AVAILABLE = False
if args.lowvram:
set_vram_to = VRAMState.LOW_VRAM
@@ -336,7 +339,11 @@ def free_memory(memory_required, device, keep_loaded=[]):
if unloaded_model:
soft_empty_cache()
-
+ else:
+ if vram_state != VRAMState.HIGH_VRAM:
+ mem_free_total, mem_free_torch = get_free_memory(device, torch_free_too=True)
+ if mem_free_torch > mem_free_total * 0.25:
+ soft_empty_cache()
def load_models_gpu(models, memory_required=0):
global vram_state
@@ -354,6 +361,8 @@ def load_models_gpu(models, memory_required=0):
current_loaded_models.insert(0, current_loaded_models.pop(index))
models_already_loaded.append(loaded_model)
else:
+ if hasattr(x, "model"):
+ print(f"Requested to load {x.model.__class__.__name__}")
models_to_load.append(loaded_model)
if len(models_to_load) == 0:
@@ -363,7 +372,7 @@ def load_models_gpu(models, memory_required=0):
free_memory(extra_mem, d, models_already_loaded)
return
- print("loading new")
+ print(f"Loading {len(models_to_load)} new model{'s' if len(models_to_load) > 1 else ''}")
total_memory_required = {}
for loaded_model in models_to_load:
@@ -405,7 +414,6 @@ def load_model_gpu(model):
def cleanup_models():
to_delete = []
for i in range(len(current_loaded_models)):
- print(sys.getrefcount(current_loaded_models[i].model))
if sys.getrefcount(current_loaded_models[i].model) <= 2:
to_delete = [i] + to_delete
@@ -444,6 +452,13 @@ def unet_inital_load_device(parameters, dtype):
else:
return cpu_dev
+def unet_dtype(device=None, model_params=0):
+ if args.bf16_unet:
+ return torch.bfloat16
+ if should_use_fp16(device=device, model_params=model_params):
+ return torch.float16
+ return torch.float32
+
def text_encoder_offload_device():
if args.gpu_only:
return get_torch_device()
@@ -656,7 +671,7 @@ def should_use_fp16(device=None, model_params=0, prioritize_performance=True):
return False
#FP16 is just broken on these cards
- nvidia_16_series = ["1660", "1650", "1630", "T500", "T550", "T600", "MX550", "MX450", "CMP 30HX"]
+ nvidia_16_series = ["1660", "1650", "1630", "T500", "T550", "T600", "MX550", "MX450", "CMP 30HX", "T2000", "T1000", "T1200"]
for x in nvidia_16_series:
if x in props.name:
return False
diff --git a/comfy/model_patcher.py b/comfy/model_patcher.py
index ba505221e..50b725b86 100644
--- a/comfy/model_patcher.py
+++ b/comfy/model_patcher.py
@@ -107,6 +107,10 @@ class ModelPatcher:
for k in patch_list:
if hasattr(patch_list[k], "to"):
patch_list[k] = patch_list[k].to(device)
+ if "unet_wrapper_function" in self.model_options:
+ wrap_func = self.model_options["unet_wrapper_function"]
+ if hasattr(wrap_func, "to"):
+ self.model_options["unet_wrapper_function"] = wrap_func.to(device)
def model_dtype(self):
if hasattr(self.model, "get_dtype"):
diff --git a/comfy/sample.py b/comfy/sample.py
index 322272766..e6a69973d 100644
--- a/comfy/sample.py
+++ b/comfy/sample.py
@@ -98,6 +98,7 @@ def sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative
samples = samples.cpu()
cleanup_additional_models(models)
+ cleanup_additional_models(set(get_models_from_cond(positive, "control") + get_models_from_cond(negative, "control")))
return samples
def sample_custom(model, noise, cfg, sampler, sigmas, positive, negative, latent_image, noise_mask=None, callback=None, disable_pbar=False, seed=None):
@@ -109,5 +110,6 @@ def sample_custom(model, noise, cfg, sampler, sigmas, positive, negative, latent
samples = comfy.samplers.sample(real_model, noise, positive_copy, negative_copy, cfg, model.load_device, sampler, sigmas, model_options=model.model_options, latent_image=latent_image, denoise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed)
samples = samples.cpu()
cleanup_additional_models(models)
+ cleanup_additional_models(set(get_models_from_cond(positive, "control") + get_models_from_cond(negative, "control")))
return samples
diff --git a/comfy/samplers.py b/comfy/samplers.py
index e43f7a6fe..0b38fbd1e 100644
--- a/comfy/samplers.py
+++ b/comfy/samplers.py
@@ -14,8 +14,8 @@ def lcm(a, b): #TODO: eventually replace by math.lcm (added in python3.9)
#The main sampling function shared by all the samplers
#Returns predicted noise
-def sampling_function(model_function, x, timestep, uncond, cond, cond_scale, cond_concat=None, model_options={}, seed=None):
- def get_area_and_mult(cond, x_in, cond_concat_in, timestep_in):
+def sampling_function(model_function, x, timestep, uncond, cond, cond_scale, model_options={}, seed=None):
+ def get_area_and_mult(cond, x_in, timestep_in):
area = (x_in.shape[2], x_in.shape[3], 0, 0)
strength = 1.0
if 'timestep_start' in cond[1]:
@@ -68,12 +68,15 @@ def sampling_function(model_function, x, timestep, uncond, cond, cond_scale, con
conditionning = {}
conditionning['c_crossattn'] = cond[0]
- if cond_concat_in is not None and len(cond_concat_in) > 0:
- cropped = []
- for x in cond_concat_in:
- cr = x[:,:,area[2]:area[0] + area[2],area[3]:area[1] + area[3]]
- cropped.append(cr)
- conditionning['c_concat'] = torch.cat(cropped, dim=1)
+
+ if 'concat' in cond[1]:
+ cond_concat_in = cond[1]['concat']
+ if cond_concat_in is not None and len(cond_concat_in) > 0:
+ cropped = []
+ for x in cond_concat_in:
+ cr = x[:,:,area[2]:area[0] + area[2],area[3]:area[1] + area[3]]
+ cropped.append(cr)
+ conditionning['c_concat'] = torch.cat(cropped, dim=1)
if adm_cond is not None:
conditionning['c_adm'] = adm_cond
@@ -173,7 +176,7 @@ def sampling_function(model_function, x, timestep, uncond, cond, cond_scale, con
out['c_adm'] = torch.cat(c_adm)
return out
- def calc_cond_uncond_batch(model_function, cond, uncond, x_in, timestep, max_total_area, cond_concat_in, model_options):
+ def calc_cond_uncond_batch(model_function, cond, uncond, x_in, timestep, max_total_area, model_options):
out_cond = torch.zeros_like(x_in)
out_count = torch.ones_like(x_in)/100000.0
@@ -185,14 +188,14 @@ def sampling_function(model_function, x, timestep, uncond, cond, cond_scale, con
to_run = []
for x in cond:
- p = get_area_and_mult(x, x_in, cond_concat_in, timestep)
+ p = get_area_and_mult(x, x_in, timestep)
if p is None:
continue
to_run += [(p, COND)]
if uncond is not None:
for x in uncond:
- p = get_area_and_mult(x, x_in, cond_concat_in, timestep)
+ p = get_area_and_mult(x, x_in, timestep)
if p is None:
continue
@@ -286,7 +289,7 @@ def sampling_function(model_function, x, timestep, uncond, cond, cond_scale, con
if math.isclose(cond_scale, 1.0):
uncond = None
- cond, uncond = calc_cond_uncond_batch(model_function, cond, uncond, x, timestep, max_total_area, cond_concat, model_options)
+ cond, uncond = calc_cond_uncond_batch(model_function, cond, uncond, x, timestep, max_total_area, model_options)
if "sampler_cfg_function" in model_options:
args = {"cond": cond, "uncond": uncond, "cond_scale": cond_scale, "timestep": timestep}
return model_options["sampler_cfg_function"](args)
@@ -307,8 +310,8 @@ class CFGNoisePredictor(torch.nn.Module):
super().__init__()
self.inner_model = model
self.alphas_cumprod = model.alphas_cumprod
- def apply_model(self, x, timestep, cond, uncond, cond_scale, cond_concat=None, model_options={}, seed=None):
- out = sampling_function(self.inner_model.apply_model, x, timestep, uncond, cond, cond_scale, cond_concat, model_options=model_options, seed=seed)
+ def apply_model(self, x, timestep, cond, uncond, cond_scale, model_options={}, seed=None):
+ out = sampling_function(self.inner_model.apply_model, x, timestep, uncond, cond, cond_scale, model_options=model_options, seed=seed)
return out
@@ -316,11 +319,11 @@ class KSamplerX0Inpaint(torch.nn.Module):
def __init__(self, model):
super().__init__()
self.inner_model = model
- def forward(self, x, sigma, uncond, cond, cond_scale, denoise_mask, cond_concat=None, model_options={}, seed=None):
+ def forward(self, x, sigma, uncond, cond, cond_scale, denoise_mask, model_options={}, seed=None):
if denoise_mask is not None:
latent_mask = 1. - denoise_mask
x = x * denoise_mask + (self.latent_image + self.noise * sigma.reshape([sigma.shape[0]] + [1] * (len(self.noise.shape) - 1))) * latent_mask
- out = self.inner_model(x, sigma, cond=cond, uncond=uncond, cond_scale=cond_scale, cond_concat=cond_concat, model_options=model_options, seed=seed)
+ out = self.inner_model(x, sigma, cond=cond, uncond=uncond, cond_scale=cond_scale, model_options=model_options, seed=seed)
if denoise_mask is not None:
out *= denoise_mask
@@ -358,15 +361,6 @@ def sgm_scheduler(model, steps):
sigs += [0.0]
return torch.FloatTensor(sigs)
-def blank_inpaint_image_like(latent_image):
- blank_image = torch.ones_like(latent_image)
- # these are the values for "zero" in pixel space translated to latent space
- blank_image[:,0] *= 0.8223
- blank_image[:,1] *= -0.6876
- blank_image[:,2] *= 0.6364
- blank_image[:,3] *= 0.1380
- return blank_image
-
def get_mask_aabb(masks):
if masks.numel() == 0:
return torch.zeros((0, 4), device=masks.device, dtype=torch.int)
@@ -543,6 +537,20 @@ def encode_adm(model, conds, batch_size, width, height, device, prompt_type):
return conds
+def encode_cond(model_function, key, conds, device, **kwargs):
+ for t in range(len(conds)):
+ x = conds[t]
+ params = x[1].copy()
+ params["device"] = device
+ for k in kwargs:
+ if k not in params:
+ params[k] = kwargs[k]
+
+ out = model_function(**params)
+ if out is not None:
+ x[1] = x[1].copy()
+ x[1][key] = out
+ return conds
class Sampler:
def sample(self):
@@ -662,31 +670,19 @@ def sample(model, noise, positive, negative, cfg, device, sampler, sigmas, model
apply_empty_x_to_equal_area(list(filter(lambda c: c[1].get('control_apply_to_uncond', False) == True, positive)), negative, 'control', lambda cond_cnets, x: cond_cnets[x])
apply_empty_x_to_equal_area(positive, negative, 'gligen', lambda cond_cnets, x: cond_cnets[x])
+ if latent_image is not None:
+ latent_image = model.process_latent_in(latent_image)
+
if model.is_adm():
positive = encode_adm(model, positive, noise.shape[0], noise.shape[3], noise.shape[2], device, "positive")
negative = encode_adm(model, negative, noise.shape[0], noise.shape[3], noise.shape[2], device, "negative")
- if latent_image is not None:
- latent_image = model.process_latent_in(latent_image)
+ if hasattr(model, 'cond_concat'):
+ positive = encode_cond(model.cond_concat, "concat", positive, device, noise=noise, latent_image=latent_image, denoise_mask=denoise_mask)
+ negative = encode_cond(model.cond_concat, "concat", negative, device, noise=noise, latent_image=latent_image, denoise_mask=denoise_mask)
extra_args = {"cond":positive, "uncond":negative, "cond_scale": cfg, "model_options": model_options, "seed":seed}
- cond_concat = None
- if hasattr(model, 'concat_keys'): #inpaint
- cond_concat = []
- for ck in model.concat_keys:
- if denoise_mask is not None:
- if ck == "mask":
- cond_concat.append(denoise_mask[:,:1])
- elif ck == "masked_image":
- cond_concat.append(latent_image) #NOTE: the latent_image should be masked by the mask in pixel space
- else:
- if ck == "mask":
- cond_concat.append(torch.ones_like(noise)[:,:1])
- elif ck == "masked_image":
- cond_concat.append(blank_inpaint_image_like(noise))
- extra_args["cond_concat"] = cond_concat
-
samples = sampler.sample(model_wrap, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
return model.process_latent_out(samples.to(torch.float32))
@@ -743,7 +739,7 @@ class KSampler:
sigmas = None
discard_penultimate_sigma = False
- if self.sampler in ['dpm_2', 'dpm_2_ancestral']:
+ if self.sampler in ['dpm_2', 'dpm_2_ancestral', 'uni_pc', 'uni_pc_bh2']:
steps += 1
discard_penultimate_sigma = True
diff --git a/comfy/sd.py b/comfy/sd.py
index cfd6fb3cb..c364b723c 100644
--- a/comfy/sd.py
+++ b/comfy/sd.py
@@ -4,7 +4,7 @@ import math
from comfy import model_management
from .ldm.util import instantiate_from_config
-from .ldm.models.autoencoder import AutoencoderKL
+from .ldm.models.autoencoder import AutoencoderKL, AutoencodingEngine
import yaml
import comfy.utils
@@ -140,21 +140,24 @@ class CLIP:
return self.patcher.get_key_patches()
class VAE:
- def __init__(self, ckpt_path=None, device=None, config=None):
+ def __init__(self, sd=None, device=None, config=None):
+ if 'decoder.up_blocks.0.resnets.0.norm1.weight' in sd.keys(): #diffusers format
+ sd = diffusers_convert.convert_vae_state_dict(sd)
+
if config is None:
#default SD1.x/SD2.x VAE parameters
ddconfig = {'double_z': True, 'z_channels': 4, 'resolution': 256, 'in_channels': 3, 'out_ch': 3, 'ch': 128, 'ch_mult': [1, 2, 4, 4], 'num_res_blocks': 2, 'attn_resolutions': [], 'dropout': 0.0}
- self.first_stage_model = AutoencoderKL(ddconfig, {'target': 'torch.nn.Identity'}, 4, monitor="val/rec_loss")
+ self.first_stage_model = AutoencoderKL(ddconfig=ddconfig, embed_dim=4)
else:
self.first_stage_model = AutoencoderKL(**(config['params']))
self.first_stage_model = self.first_stage_model.eval()
- if ckpt_path is not None:
- sd = comfy.utils.load_torch_file(ckpt_path)
- if 'decoder.up_blocks.0.resnets.0.norm1.weight' in sd.keys(): #diffusers format
- sd = diffusers_convert.convert_vae_state_dict(sd)
- m, u = self.first_stage_model.load_state_dict(sd, strict=False)
- if len(m) > 0:
- print("Missing VAE keys", m)
+
+ m, u = self.first_stage_model.load_state_dict(sd, strict=False)
+ if len(m) > 0:
+ print("Missing VAE keys", m)
+
+ if len(u) > 0:
+ print("Leftover VAE keys", u)
if device is None:
device = model_management.vae_device()
@@ -183,7 +186,7 @@ class VAE:
steps += pixel_samples.shape[0] * comfy.utils.get_tiled_scale_steps(pixel_samples.shape[3], pixel_samples.shape[2], tile_x * 2, tile_y // 2, overlap)
pbar = comfy.utils.ProgressBar(steps)
- encode_fn = lambda a: self.first_stage_model.encode((2. * a - 1.).to(self.vae_dtype).to(self.device)).sample().float()
+ encode_fn = lambda a: self.first_stage_model.encode((2. * a - 1.).to(self.vae_dtype).to(self.device)).float()
samples = comfy.utils.tiled_scale(pixel_samples, encode_fn, tile_x, tile_y, overlap, upscale_amount = (1/8), out_channels=4, pbar=pbar)
samples += comfy.utils.tiled_scale(pixel_samples, encode_fn, tile_x * 2, tile_y // 2, overlap, upscale_amount = (1/8), out_channels=4, pbar=pbar)
samples += comfy.utils.tiled_scale(pixel_samples, encode_fn, tile_x // 2, tile_y * 2, overlap, upscale_amount = (1/8), out_channels=4, pbar=pbar)
@@ -229,7 +232,7 @@ class VAE:
samples = torch.empty((pixel_samples.shape[0], 4, round(pixel_samples.shape[2] // 8), round(pixel_samples.shape[3] // 8)), device="cpu")
for x in range(0, pixel_samples.shape[0], batch_number):
pixels_in = (2. * pixel_samples[x:x+batch_number] - 1.).to(self.vae_dtype).to(self.device)
- samples[x:x+batch_number] = self.first_stage_model.encode(pixels_in).sample().cpu().float()
+ samples[x:x+batch_number] = self.first_stage_model.encode(pixels_in).cpu().float()
except model_management.OOM_EXCEPTION as e:
print("Warning: Ran out of memory when regular VAE encoding, retrying with tiled VAE encoding.")
@@ -327,7 +330,9 @@ def load_checkpoint(config_path=None, ckpt_path=None, output_vae=True, output_cl
if "params" in model_config_params["unet_config"]:
unet_config = model_config_params["unet_config"]["params"]
if "use_fp16" in unet_config:
- fp16 = unet_config["use_fp16"]
+ fp16 = unet_config.pop("use_fp16")
+ if fp16:
+ unet_config["dtype"] = torch.float16
noise_aug_config = None
if "noise_aug_config" in model_config_params:
@@ -373,10 +378,8 @@ def load_checkpoint(config_path=None, ckpt_path=None, output_vae=True, output_cl
model.load_model_weights(state_dict, "model.diffusion_model.")
if output_vae:
- w = WeightsLoader()
- vae = VAE(config=vae_config)
- w.first_stage_model = vae.first_stage_model
- load_model_weights(w, state_dict)
+ vae_sd = comfy.utils.state_dict_prefix_replace(state_dict, {"first_stage_model.": ""}, filter_keys=True)
+ vae = VAE(sd=vae_sd, config=vae_config)
if output_clip:
w = WeightsLoader()
@@ -405,12 +408,12 @@ def load_checkpoint_guess_config(ckpt_path, output_vae=True, output_clip=True, o
clip_target = None
parameters = comfy.utils.calculate_parameters(sd, "model.diffusion_model.")
- fp16 = model_management.should_use_fp16(model_params=parameters)
+ unet_dtype = model_management.unet_dtype(model_params=parameters)
class WeightsLoader(torch.nn.Module):
pass
- model_config = model_detection.model_config_from_unet(sd, "model.diffusion_model.", fp16)
+ model_config = model_detection.model_config_from_unet(sd, "model.diffusion_model.", unet_dtype)
if model_config is None:
raise RuntimeError("ERROR: Could not detect model type of: {}".format(ckpt_path))
@@ -418,29 +421,24 @@ def load_checkpoint_guess_config(ckpt_path, output_vae=True, output_clip=True, o
if output_clipvision:
clipvision = clip_vision.load_clipvision_from_sd(sd, model_config.clip_vision_prefix, True)
- dtype = torch.float32
- if fp16:
- dtype = torch.float16
-
if output_model:
- inital_load_device = model_management.unet_inital_load_device(parameters, dtype)
+ inital_load_device = model_management.unet_inital_load_device(parameters, unet_dtype)
offload_device = model_management.unet_offload_device()
model = model_config.get_model(sd, "model.diffusion_model.", device=inital_load_device)
model.load_model_weights(sd, "model.diffusion_model.")
if output_vae:
- vae = VAE()
- w = WeightsLoader()
- w.first_stage_model = vae.first_stage_model
- load_model_weights(w, sd)
+ vae_sd = comfy.utils.state_dict_prefix_replace(sd, {"first_stage_model.": ""}, filter_keys=True)
+ vae = VAE(sd=vae_sd)
if output_clip:
w = WeightsLoader()
clip_target = model_config.clip_target()
- clip = CLIP(clip_target, embedding_directory=embedding_directory)
- w.cond_stage_model = clip.cond_stage_model
- sd = model_config.process_clip_state_dict(sd)
- load_model_weights(w, sd)
+ if clip_target is not None:
+ clip = CLIP(clip_target, embedding_directory=embedding_directory)
+ w.cond_stage_model = clip.cond_stage_model
+ sd = model_config.process_clip_state_dict(sd)
+ load_model_weights(w, sd)
left_over = sd.keys()
if len(left_over) > 0:
@@ -458,15 +456,15 @@ def load_checkpoint_guess_config(ckpt_path, output_vae=True, output_clip=True, o
def load_unet(unet_path): #load unet in diffusers format
sd = comfy.utils.load_torch_file(unet_path)
parameters = comfy.utils.calculate_parameters(sd)
- fp16 = model_management.should_use_fp16(model_params=parameters)
+ unet_dtype = model_management.unet_dtype(model_params=parameters)
if "input_blocks.0.0.weight" in sd: #ldm
- model_config = model_detection.model_config_from_unet(sd, "", fp16)
+ model_config = model_detection.model_config_from_unet(sd, "", unet_dtype)
if model_config is None:
raise RuntimeError("ERROR: Could not detect model type of: {}".format(unet_path))
new_sd = sd
else: #diffusers
- model_config = model_detection.model_config_from_diffusers_unet(sd, fp16)
+ model_config = model_detection.model_config_from_diffusers_unet(sd, unet_dtype)
if model_config is None:
print("ERROR UNSUPPORTED UNET", unet_path)
return None
diff --git a/comfy/taesd/taesd.py b/comfy/taesd/taesd.py
index 1549345ae..8df1f1609 100644
--- a/comfy/taesd/taesd.py
+++ b/comfy/taesd/taesd.py
@@ -6,6 +6,8 @@ Tiny AutoEncoder for Stable Diffusion
import torch
import torch.nn as nn
+import comfy.utils
+
def conv(n_in, n_out, **kwargs):
return nn.Conv2d(n_in, n_out, 3, padding=1, **kwargs)
@@ -50,9 +52,9 @@ class TAESD(nn.Module):
self.encoder = Encoder()
self.decoder = Decoder()
if encoder_path is not None:
- self.encoder.load_state_dict(torch.load(encoder_path, map_location="cpu", weights_only=True))
+ self.encoder.load_state_dict(comfy.utils.load_torch_file(encoder_path, safe_load=True))
if decoder_path is not None:
- self.decoder.load_state_dict(torch.load(decoder_path, map_location="cpu", weights_only=True))
+ self.decoder.load_state_dict(comfy.utils.load_torch_file(decoder_path, safe_load=True))
@staticmethod
def scale_latents(x):
diff --git a/comfy/utils.py b/comfy/utils.py
index 7843b58cc..a1807aa1d 100644
--- a/comfy/utils.py
+++ b/comfy/utils.py
@@ -47,12 +47,17 @@ def state_dict_key_replace(state_dict, keys_to_replace):
state_dict[keys_to_replace[x]] = state_dict.pop(x)
return state_dict
-def state_dict_prefix_replace(state_dict, replace_prefix):
+def state_dict_prefix_replace(state_dict, replace_prefix, filter_keys=False):
+ if filter_keys:
+ out = {}
+ else:
+ out = state_dict
for rp in replace_prefix:
replace = list(map(lambda a: (a, "{}{}".format(replace_prefix[rp], a[len(rp):])), filter(lambda a: a.startswith(rp), state_dict.keys())))
for x in replace:
- state_dict[x[1]] = state_dict.pop(x[0])
- return state_dict
+ w = state_dict.pop(x[0])
+ out[x[1]] = w
+ return out
def transformers_convert(sd, prefix_from, prefix_to, number):
@@ -408,6 +413,10 @@ def tiled_scale(samples, function, tile_x=64, tile_y=64, overlap = 8, upscale_am
output[b:b+1] = out/out_div
return output
+PROGRESS_BAR_ENABLED = True
+def set_progress_bar_enabled(enabled):
+ global PROGRESS_BAR_ENABLED
+ PROGRESS_BAR_ENABLED = enabled
PROGRESS_BAR_HOOK = None
def set_progress_bar_global_hook(function):
diff --git a/comfy_extras/nodes_compositing.py b/comfy_extras/nodes_compositing.py
index 68bfce111..181b36ed6 100644
--- a/comfy_extras/nodes_compositing.py
+++ b/comfy_extras/nodes_compositing.py
@@ -158,7 +158,7 @@ class SplitImageWithAlpha:
def split_image_with_alpha(self, image: torch.Tensor):
out_images = [i[:,:,:3] for i in image]
out_alphas = [i[:,:,3] if i.shape[2] > 3 else torch.ones_like(i[:,:,0]) for i in image]
- result = (torch.stack(out_images), torch.stack(out_alphas))
+ result = (torch.stack(out_images), 1.0 - torch.stack(out_alphas))
return result
@@ -180,7 +180,7 @@ class JoinImageWithAlpha:
batch_size = min(len(image), len(alpha))
out_images = []
- alpha = resize_mask(alpha, image.shape[1:])
+ alpha = 1.0 - resize_mask(alpha, image.shape[1:])
for i in range(batch_size):
out_images.append(torch.cat((image[i][:,:,:3], alpha[i].unsqueeze(2)), dim=2))
diff --git a/comfy_extras/nodes_custom_sampler.py b/comfy_extras/nodes_custom_sampler.py
index 42a1fd6ba..b52ad8fbd 100644
--- a/comfy_extras/nodes_custom_sampler.py
+++ b/comfy_extras/nodes_custom_sampler.py
@@ -3,6 +3,7 @@ import comfy.sample
from comfy.k_diffusion import sampling as k_diffusion_sampling
import latent_preview
import torch
+import comfy.utils
class BasicScheduler:
@@ -15,7 +16,7 @@ class BasicScheduler:
}
}
RETURN_TYPES = ("SIGMAS",)
- CATEGORY = "_for_testing/custom_sampling"
+ CATEGORY = "sampling/custom_sampling"
FUNCTION = "get_sigmas"
@@ -35,7 +36,7 @@ class KarrasScheduler:
}
}
RETURN_TYPES = ("SIGMAS",)
- CATEGORY = "_for_testing/custom_sampling"
+ CATEGORY = "sampling/custom_sampling"
FUNCTION = "get_sigmas"
@@ -53,7 +54,7 @@ class ExponentialScheduler:
}
}
RETURN_TYPES = ("SIGMAS",)
- CATEGORY = "_for_testing/custom_sampling"
+ CATEGORY = "sampling/custom_sampling"
FUNCTION = "get_sigmas"
@@ -72,7 +73,7 @@ class PolyexponentialScheduler:
}
}
RETURN_TYPES = ("SIGMAS",)
- CATEGORY = "_for_testing/custom_sampling"
+ CATEGORY = "sampling/custom_sampling"
FUNCTION = "get_sigmas"
@@ -91,7 +92,7 @@ class VPScheduler:
}
}
RETURN_TYPES = ("SIGMAS",)
- CATEGORY = "_for_testing/custom_sampling"
+ CATEGORY = "sampling/custom_sampling"
FUNCTION = "get_sigmas"
@@ -108,7 +109,7 @@ class SplitSigmas:
}
}
RETURN_TYPES = ("SIGMAS","SIGMAS")
- CATEGORY = "_for_testing/custom_sampling"
+ CATEGORY = "sampling/custom_sampling"
FUNCTION = "get_sigmas"
@@ -125,7 +126,7 @@ class KSamplerSelect:
}
}
RETURN_TYPES = ("SAMPLER",)
- CATEGORY = "_for_testing/custom_sampling"
+ CATEGORY = "sampling/custom_sampling"
FUNCTION = "get_sampler"
@@ -144,7 +145,7 @@ class SamplerDPMPP_2M_SDE:
}
}
RETURN_TYPES = ("SAMPLER",)
- CATEGORY = "_for_testing/custom_sampling"
+ CATEGORY = "sampling/custom_sampling"
FUNCTION = "get_sampler"
@@ -168,7 +169,7 @@ class SamplerDPMPP_SDE:
}
}
RETURN_TYPES = ("SAMPLER",)
- CATEGORY = "_for_testing/custom_sampling"
+ CATEGORY = "sampling/custom_sampling"
FUNCTION = "get_sampler"
@@ -201,7 +202,7 @@ class SamplerCustom:
FUNCTION = "sample"
- CATEGORY = "_for_testing/custom_sampling"
+ CATEGORY = "sampling/custom_sampling"
def sample(self, model, add_noise, noise_seed, cfg, positive, negative, sampler, sigmas, latent_image):
latent = latent_image
@@ -219,7 +220,7 @@ class SamplerCustom:
x0_output = {}
callback = latent_preview.prepare_callback(model, sigmas.shape[-1] - 1, x0_output)
- disable_pbar = False
+ disable_pbar = not comfy.utils.PROGRESS_BAR_ENABLED
samples = comfy.sample.sample_custom(model, noise, cfg, sampler, sigmas, positive, negative, latent_image, noise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=noise_seed)
out = latent.copy()
diff --git a/comfy_extras/nodes_freelunch.py b/comfy_extras/nodes_freelunch.py
index 07a88bd96..7512b841d 100644
--- a/comfy_extras/nodes_freelunch.py
+++ b/comfy_extras/nodes_freelunch.py
@@ -61,7 +61,53 @@ class FreeU:
m.set_model_output_block_patch(output_block_patch)
return (m, )
+class FreeU_V2:
+ @classmethod
+ def INPUT_TYPES(s):
+ return {"required": { "model": ("MODEL",),
+ "b1": ("FLOAT", {"default": 1.3, "min": 0.0, "max": 10.0, "step": 0.01}),
+ "b2": ("FLOAT", {"default": 1.4, "min": 0.0, "max": 10.0, "step": 0.01}),
+ "s1": ("FLOAT", {"default": 0.9, "min": 0.0, "max": 10.0, "step": 0.01}),
+ "s2": ("FLOAT", {"default": 0.2, "min": 0.0, "max": 10.0, "step": 0.01}),
+ }}
+ RETURN_TYPES = ("MODEL",)
+ FUNCTION = "patch"
+
+ CATEGORY = "_for_testing"
+
+ def patch(self, model, b1, b2, s1, s2):
+ model_channels = model.model.model_config.unet_config["model_channels"]
+ scale_dict = {model_channels * 4: (b1, s1), model_channels * 2: (b2, s2)}
+ on_cpu_devices = {}
+
+ def output_block_patch(h, hsp, transformer_options):
+ scale = scale_dict.get(h.shape[1], None)
+ if scale is not None:
+ hidden_mean = h.mean(1).unsqueeze(1)
+ B = hidden_mean.shape[0]
+ hidden_max, _ = torch.max(hidden_mean.view(B, -1), dim=-1, keepdim=True)
+ hidden_min, _ = torch.min(hidden_mean.view(B, -1), dim=-1, keepdim=True)
+ hidden_mean = (hidden_mean - hidden_min.unsqueeze(2).unsqueeze(3)) / (hidden_max - hidden_min).unsqueeze(2).unsqueeze(3)
+
+ h[:,:h.shape[1] // 2] = h[:,:h.shape[1] // 2] * ((scale[0] - 1 ) * hidden_mean + 1)
+
+ if hsp.device not in on_cpu_devices:
+ try:
+ hsp = Fourier_filter(hsp, threshold=1, scale=scale[1])
+ except:
+ print("Device", hsp.device, "does not support the torch.fft functions used in the FreeU node, switching to CPU.")
+ on_cpu_devices[hsp.device] = True
+ hsp = Fourier_filter(hsp.cpu(), threshold=1, scale=scale[1]).to(hsp.device)
+ else:
+ hsp = Fourier_filter(hsp.cpu(), threshold=1, scale=scale[1]).to(hsp.device)
+
+ return h, hsp
+
+ m = model.clone()
+ m.set_model_output_block_patch(output_block_patch)
+ return (m, )
NODE_CLASS_MAPPINGS = {
"FreeU": FreeU,
+ "FreeU_V2": FreeU_V2,
}
diff --git a/comfy_extras/nodes_hypernetwork.py b/comfy_extras/nodes_hypernetwork.py
index d16c49aeb..f692945a8 100644
--- a/comfy_extras/nodes_hypernetwork.py
+++ b/comfy_extras/nodes_hypernetwork.py
@@ -19,6 +19,7 @@ def load_hypernetwork_patch(path, strength):
"tanh": torch.nn.Tanh,
"sigmoid": torch.nn.Sigmoid,
"softsign": torch.nn.Softsign,
+ "mish": torch.nn.Mish,
}
if activation_func not in valid_activation:
@@ -42,7 +43,8 @@ def load_hypernetwork_patch(path, strength):
linears = list(map(lambda a: a[:-len(".weight")], linears))
layers = []
- for i in range(len(linears)):
+ i = 0
+ while i < len(linears):
lin_name = linears[i]
last_layer = (i == (len(linears) - 1))
penultimate_layer = (i == (len(linears) - 2))
@@ -56,10 +58,17 @@ def load_hypernetwork_patch(path, strength):
if (not last_layer) or (activate_output):
layers.append(valid_activation[activation_func]())
if is_layer_norm:
- layers.append(torch.nn.LayerNorm(lin_weight.shape[0]))
+ i += 1
+ ln_name = linears[i]
+ ln_weight = attn_weights['{}.weight'.format(ln_name)]
+ ln_bias = attn_weights['{}.bias'.format(ln_name)]
+ ln = torch.nn.LayerNorm(ln_weight.shape[0])
+ ln.load_state_dict({"weight": ln_weight, "bias": ln_bias})
+ layers.append(ln)
if use_dropout:
if (not last_layer) and (not penultimate_layer or last_layer_dropout):
layers.append(torch.nn.Dropout(p=0.3))
+ i += 1
output.append(torch.nn.Sequential(*layers))
out[dim] = torch.nn.ModuleList(output)
diff --git a/comfy_extras/nodes_hypertile.py b/comfy_extras/nodes_hypertile.py
new file mode 100644
index 000000000..0d7d4c954
--- /dev/null
+++ b/comfy_extras/nodes_hypertile.py
@@ -0,0 +1,83 @@
+#Taken from: https://github.com/tfernd/HyperTile/
+
+import math
+from einops import rearrange
+import random
+
+def random_divisor(value: int, min_value: int, /, max_options: int = 1, counter = 0) -> int:
+ min_value = min(min_value, value)
+
+ # All big divisors of value (inclusive)
+ divisors = [i for i in range(min_value, value + 1) if value % i == 0]
+
+ ns = [value // i for i in divisors[:max_options]] # has at least 1 element
+
+ random.seed(counter)
+ idx = random.randint(0, len(ns) - 1)
+
+ return ns[idx]
+
+class HyperTile:
+ @classmethod
+ def INPUT_TYPES(s):
+ return {"required": { "model": ("MODEL",),
+ "tile_size": ("INT", {"default": 256, "min": 1, "max": 2048}),
+ "swap_size": ("INT", {"default": 2, "min": 1, "max": 128}),
+ "max_depth": ("INT", {"default": 0, "min": 0, "max": 10}),
+ "scale_depth": ("BOOLEAN", {"default": False}),
+ }}
+ RETURN_TYPES = ("MODEL",)
+ FUNCTION = "patch"
+
+ CATEGORY = "_for_testing"
+
+ def patch(self, model, tile_size, swap_size, max_depth, scale_depth):
+ model_channels = model.model.model_config.unet_config["model_channels"]
+
+ apply_to = set()
+ temp = model_channels
+ for x in range(max_depth + 1):
+ apply_to.add(temp)
+ temp *= 2
+
+ latent_tile_size = max(32, tile_size) // 8
+ self.temp = None
+ self.counter = 1
+
+ def hypertile_in(q, k, v, extra_options):
+ if q.shape[-1] in apply_to:
+ shape = extra_options["original_shape"]
+ aspect_ratio = shape[-1] / shape[-2]
+
+ hw = q.size(1)
+ h, w = round(math.sqrt(hw * aspect_ratio)), round(math.sqrt(hw / aspect_ratio))
+
+ factor = 2**((q.shape[-1] // model_channels) - 1) if scale_depth else 1
+ nh = random_divisor(h, latent_tile_size * factor, swap_size, self.counter)
+ self.counter += 1
+ nw = random_divisor(w, latent_tile_size * factor, swap_size, self.counter)
+ self.counter += 1
+
+ if nh * nw > 1:
+ q = rearrange(q, "b (nh h nw w) c -> (b nh nw) (h w) c", h=h // nh, w=w // nw, nh=nh, nw=nw)
+ self.temp = (nh, nw, h, w)
+ return q, k, v
+
+ return q, k, v
+ def hypertile_out(out, extra_options):
+ if self.temp is not None:
+ nh, nw, h, w = self.temp
+ self.temp = None
+ out = rearrange(out, "(b nh nw) hw c -> b nh nw hw c", nh=nh, nw=nw)
+ out = rearrange(out, "b nh nw (h w) c -> b (nh h nw w) c", h=h // nh, w=w // nw)
+ return out
+
+
+ m = model.clone()
+ m.set_model_attn1_patch(hypertile_in)
+ m.set_model_attn1_output_patch(hypertile_out)
+ return (m, )
+
+NODE_CLASS_MAPPINGS = {
+ "HyperTile": HyperTile,
+}
diff --git a/comfy_extras/nodes_mask.py b/comfy_extras/nodes_mask.py
index 9b0b289c1..d8c65c2b6 100644
--- a/comfy_extras/nodes_mask.py
+++ b/comfy_extras/nodes_mask.py
@@ -240,8 +240,8 @@ class MaskComposite:
right, bottom = (min(left + source.shape[-1], destination.shape[-1]), min(top + source.shape[-2], destination.shape[-2]))
visible_width, visible_height = (right - left, bottom - top,)
- source_portion = source[:visible_height, :visible_width]
- destination_portion = destination[top:bottom, left:right]
+ source_portion = source[:, :visible_height, :visible_width]
+ destination_portion = destination[:, top:bottom, left:right]
if operation == "multiply":
output[:, top:bottom, left:right] = destination_portion * source_portion
@@ -282,10 +282,10 @@ class FeatherMask:
def feather(self, mask, left, top, right, bottom):
output = mask.reshape((-1, mask.shape[-2], mask.shape[-1])).clone()
- left = min(left, output.shape[1])
- right = min(right, output.shape[1])
- top = min(top, output.shape[0])
- bottom = min(bottom, output.shape[0])
+ left = min(left, output.shape[-1])
+ right = min(right, output.shape[-1])
+ top = min(top, output.shape[-2])
+ bottom = min(bottom, output.shape[-2])
for x in range(left):
feather_rate = (x + 1.0) / left
diff --git a/comfy_extras/nodes_model_merging.py b/comfy_extras/nodes_model_merging.py
index 3d42d7806..dad1dd637 100644
--- a/comfy_extras/nodes_model_merging.py
+++ b/comfy_extras/nodes_model_merging.py
@@ -1,6 +1,7 @@
import comfy.sd
import comfy.utils
import comfy.model_base
+import comfy.model_management
import folder_paths
import json
@@ -178,6 +179,95 @@ class CheckpointSave:
comfy.sd.save_checkpoint(output_checkpoint, model, clip, vae, metadata=metadata)
return {}
+class CLIPSave:
+ def __init__(self):
+ self.output_dir = folder_paths.get_output_directory()
+
+ @classmethod
+ def INPUT_TYPES(s):
+ return {"required": { "clip": ("CLIP",),
+ "filename_prefix": ("STRING", {"default": "clip/ComfyUI"}),},
+ "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},}
+ RETURN_TYPES = ()
+ FUNCTION = "save"
+ OUTPUT_NODE = True
+
+ CATEGORY = "advanced/model_merging"
+
+ def save(self, clip, filename_prefix, prompt=None, extra_pnginfo=None):
+ prompt_info = ""
+ if prompt is not None:
+ prompt_info = json.dumps(prompt)
+
+ metadata = {}
+ if not args.disable_metadata:
+ metadata["prompt"] = prompt_info
+ if extra_pnginfo is not None:
+ for x in extra_pnginfo:
+ metadata[x] = json.dumps(extra_pnginfo[x])
+
+ comfy.model_management.load_models_gpu([clip.load_model()])
+ clip_sd = clip.get_sd()
+
+ for prefix in ["clip_l.", "clip_g.", ""]:
+ k = list(filter(lambda a: a.startswith(prefix), clip_sd.keys()))
+ current_clip_sd = {}
+ for x in k:
+ current_clip_sd[x] = clip_sd.pop(x)
+ if len(current_clip_sd) == 0:
+ continue
+
+ p = prefix[:-1]
+ replace_prefix = {}
+ filename_prefix_ = filename_prefix
+ if len(p) > 0:
+ filename_prefix_ = "{}_{}".format(filename_prefix_, p)
+ replace_prefix[prefix] = ""
+ replace_prefix["transformer."] = ""
+
+ full_output_folder, filename, counter, subfolder, filename_prefix_ = folder_paths.get_save_image_path(filename_prefix_, self.output_dir)
+
+ output_checkpoint = f"{filename}_{counter:05}_.safetensors"
+ output_checkpoint = os.path.join(full_output_folder, output_checkpoint)
+
+ current_clip_sd = comfy.utils.state_dict_prefix_replace(current_clip_sd, replace_prefix)
+
+ comfy.utils.save_torch_file(current_clip_sd, output_checkpoint, metadata=metadata)
+ return {}
+
+class VAESave:
+ def __init__(self):
+ self.output_dir = folder_paths.get_output_directory()
+
+ @classmethod
+ def INPUT_TYPES(s):
+ return {"required": { "vae": ("VAE",),
+ "filename_prefix": ("STRING", {"default": "vae/ComfyUI_vae"}),},
+ "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},}
+ RETURN_TYPES = ()
+ FUNCTION = "save"
+ OUTPUT_NODE = True
+
+ CATEGORY = "advanced/model_merging"
+
+ def save(self, vae, filename_prefix, prompt=None, extra_pnginfo=None):
+ full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path(filename_prefix, self.output_dir)
+ prompt_info = ""
+ if prompt is not None:
+ prompt_info = json.dumps(prompt)
+
+ metadata = {}
+ if not args.disable_metadata:
+ metadata["prompt"] = prompt_info
+ if extra_pnginfo is not None:
+ for x in extra_pnginfo:
+ metadata[x] = json.dumps(extra_pnginfo[x])
+
+ output_checkpoint = f"{filename}_{counter:05}_.safetensors"
+ output_checkpoint = os.path.join(full_output_folder, output_checkpoint)
+
+ comfy.utils.save_torch_file(vae.get_sd(), output_checkpoint, metadata=metadata)
+ return {}
NODE_CLASS_MAPPINGS = {
"ModelMergeSimple": ModelMergeSimple,
@@ -186,4 +276,6 @@ NODE_CLASS_MAPPINGS = {
"ModelMergeAdd": ModelAdd,
"CheckpointSave": CheckpointSave,
"CLIPMergeSimple": CLIPMergeSimple,
+ "CLIPSave": CLIPSave,
+ "VAESave": VAESave,
}
diff --git a/execution.py b/execution.py
index 5f5d6c738..918c2bc5c 100644
--- a/execution.py
+++ b/execution.py
@@ -2,6 +2,7 @@ import os
import sys
import copy
import json
+import logging
import threading
import heapq
import traceback
@@ -156,7 +157,7 @@ def recursive_execute(server, prompt, outputs, current_item, extra_data, execute
if server.client_id is not None:
server.send_sync("executed", { "node": unique_id, "output": output_ui, "prompt_id": prompt_id }, server.client_id)
except comfy.model_management.InterruptProcessingException as iex:
- print("Processing interrupted")
+ logging.info("Processing interrupted")
# skip formatting inputs/outputs
error_details = {
@@ -177,8 +178,8 @@ def recursive_execute(server, prompt, outputs, current_item, extra_data, execute
for node_id, node_outputs in outputs.items():
output_data_formatted[node_id] = [[format_value(x) for x in l] for l in node_outputs]
- print("!!! Exception during processing !!!")
- print(traceback.format_exc())
+ logging.error("!!! Exception during processing !!!")
+ logging.error(traceback.format_exc())
error_details = {
"node_id": unique_id,
@@ -636,11 +637,11 @@ def validate_prompt(prompt):
if valid is True:
good_outputs.add(o)
else:
- print(f"Failed to validate prompt for output {o}:")
+ logging.error(f"Failed to validate prompt for output {o}:")
if len(reasons) > 0:
- print("* (prompt):")
+ logging.error("* (prompt):")
for reason in reasons:
- print(f" - {reason['message']}: {reason['details']}")
+ logging.error(f" - {reason['message']}: {reason['details']}")
errors += [(o, reasons)]
for node_id, result in validated.items():
valid = result[0]
@@ -656,11 +657,11 @@ def validate_prompt(prompt):
"dependent_outputs": [],
"class_type": class_type
}
- print(f"* {class_type} {node_id}:")
+ logging.error(f"* {class_type} {node_id}:")
for reason in reasons:
- print(f" - {reason['message']}: {reason['details']}")
+ logging.error(f" - {reason['message']}: {reason['details']}")
node_errors[node_id]["dependent_outputs"].append(o)
- print("Output will be ignored")
+ logging.error("Output will be ignored")
if len(good_outputs) == 0:
errors_list = []
diff --git a/extra_model_paths.yaml.example b/extra_model_paths.yaml.example
index 36078fffc..846d04dbe 100644
--- a/extra_model_paths.yaml.example
+++ b/extra_model_paths.yaml.example
@@ -1,5 +1,6 @@
#Rename this to extra_model_paths.yaml and ComfyUI will load it
+
#config for a1111 ui
#all you have to do is change the base_path to where yours is installed
a111:
@@ -19,6 +20,21 @@ a111:
hypernetworks: models/hypernetworks
controlnet: models/ControlNet
+#config for comfyui
+#your base path should be either an existing comfy install or a central folder where you store all of your models, loras, etc.
+
+#comfyui:
+# base_path: path/to/comfyui/
+# checkpoints: models/checkpoints/
+# clip: models/clip/
+# clip_vision: models/clip_vision/
+# configs: models/configs/
+# controlnet: models/controlnet/
+# embeddings: models/embeddings/
+# loras: models/loras/
+# upscale_models: models/upscale_models/
+# vae: models/vae/
+
#other_ui:
# base_path: path/to/ui
# checkpoints: models/checkpoints
diff --git a/folder_paths.py b/folder_paths.py
index 0516fe199..bc9d6ae22 100644
--- a/folder_paths.py
+++ b/folder_paths.py
@@ -31,6 +31,7 @@ folder_names_and_paths["custom_nodes"] = ([os.path.join(base_path, "custom_nodes
folder_names_and_paths["hypernetworks"] = ([os.path.join(models_dir, "hypernetworks")], supported_pt_extensions)
folder_names_and_paths["subflows"] = ([os.path.join(base_path, "subflows")], supported_subflow_extensions)
+folder_names_and_paths["classifiers"] = ([os.path.join(models_dir, "classifiers")], {""})
output_directory = os.path.join(os.path.dirname(os.path.realpath(__file__)), "output")
temp_directory = os.path.join(os.path.dirname(os.path.realpath(__file__)), "temp")
@@ -53,6 +54,10 @@ def set_temp_directory(temp_dir):
global temp_directory
temp_directory = temp_dir
+def set_input_directory(input_dir):
+ global input_directory
+ input_directory = input_dir
+
def get_output_directory():
global output_directory
return output_directory
@@ -155,7 +160,7 @@ def recursive_search(directory, excluded_dir_names=None):
return result, dirs
def filter_files_extensions(files, extensions):
- return sorted(list(filter(lambda a: os.path.splitext(a)[-1].lower() in extensions, files)))
+ return sorted(list(filter(lambda a: os.path.splitext(a)[-1].lower() in extensions or len(extensions) == 0, files)))
diff --git a/latent_preview.py b/latent_preview.py
index 740e08607..e1553c85c 100644
--- a/latent_preview.py
+++ b/latent_preview.py
@@ -56,7 +56,12 @@ def get_previewer(device, latent_format):
# TODO previewer methods
taesd_decoder_path = None
if latent_format.taesd_decoder_name is not None:
- taesd_decoder_path = folder_paths.get_full_path("vae_approx", latent_format.taesd_decoder_name)
+ taesd_decoder_path = next(
+ (fn for fn in folder_paths.get_filename_list("vae_approx")
+ if fn.startswith(latent_format.taesd_decoder_name)),
+ ""
+ )
+ taesd_decoder_path = folder_paths.get_full_path("vae_approx", taesd_decoder_path)
if method == LatentPreviewMethod.Auto:
method = LatentPreviewMethod.Latent2RGB
diff --git a/main.py b/main.py
index 7c5eaee0a..1100a07f4 100644
--- a/main.py
+++ b/main.py
@@ -175,6 +175,16 @@ if __name__ == "__main__":
print(f"Setting output directory to: {output_dir}")
folder_paths.set_output_directory(output_dir)
+ #These are the default folders that checkpoints, clip and vae models will be saved to when using CheckpointSave, etc.. nodes
+ folder_paths.add_model_folder_path("checkpoints", os.path.join(folder_paths.get_output_directory(), "checkpoints"))
+ folder_paths.add_model_folder_path("clip", os.path.join(folder_paths.get_output_directory(), "clip"))
+ folder_paths.add_model_folder_path("vae", os.path.join(folder_paths.get_output_directory(), "vae"))
+
+ if args.input_directory:
+ input_dir = os.path.abspath(args.input_directory)
+ print(f"Setting input directory to: {input_dir}")
+ folder_paths.set_input_directory(input_dir)
+
if args.quick_test_for_ci:
exit(0)
diff --git a/nodes.py b/nodes.py
index a5f6d9818..97012413d 100644
--- a/nodes.py
+++ b/nodes.py
@@ -584,7 +584,8 @@ class VAELoader:
#TODO: scale factor?
def load_vae(self, vae_name):
vae_path = folder_paths.get_full_path("vae", vae_name)
- vae = comfy.sd.VAE(ckpt_path=vae_path)
+ sd = comfy.utils.load_torch_file(vae_path)
+ vae = comfy.sd.VAE(sd=sd)
return (vae,)
class ControlNetLoader:
@@ -1202,7 +1203,7 @@ def common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive,
noise_mask = latent["noise_mask"]
callback = latent_preview.prepare_callback(model, steps)
- disable_pbar = False
+ disable_pbar = not comfy.utils.PROGRESS_BAR_ENABLED
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
denoise=denoise, disable_noise=disable_noise, start_step=start_step, last_step=last_step,
force_full_denoise=force_full_denoise, noise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed)
@@ -1660,7 +1661,7 @@ NODE_DISPLAY_NAME_MAPPINGS = {
"KSampler": "KSampler",
"KSamplerAdvanced": "KSampler (Advanced)",
# Loaders
- "CheckpointLoader": "Load Checkpoint (With Config)",
+ "CheckpointLoader": "Load Checkpoint With Config (DEPRECATED)",
"CheckpointLoaderSimple": "Load Checkpoint",
"VAELoader": "Load VAE",
"LoraLoader": "Load LoRA",
@@ -1797,6 +1798,7 @@ def init_custom_nodes():
"nodes_freelunch.py",
"nodes_custom_sampler.py",
"nodes_subflow.py",
+ "nodes_hypertile.py",
]
for node_file in extras_files:
diff --git a/notebooks/comfyui_colab.ipynb b/notebooks/comfyui_colab.ipynb
index 4fdccaace..ec83265b4 100644
--- a/notebooks/comfyui_colab.ipynb
+++ b/notebooks/comfyui_colab.ipynb
@@ -47,7 +47,7 @@
" !git pull\n",
"\n",
"!echo -= Install dependencies =-\n",
- "!pip install xformers!=0.0.18 -r requirements.txt --extra-index-url https://download.pytorch.org/whl/cu118 --extra-index-url https://download.pytorch.org/whl/cu117"
+ "!pip install xformers!=0.0.18 -r requirements.txt --extra-index-url https://download.pytorch.org/whl/cu121 --extra-index-url https://download.pytorch.org/whl/cu118 --extra-index-url https://download.pytorch.org/whl/cu117"
]
},
{
diff --git a/tests-ui/.gitignore b/tests-ui/.gitignore
new file mode 100644
index 000000000..b512c09d4
--- /dev/null
+++ b/tests-ui/.gitignore
@@ -0,0 +1 @@
+node_modules
\ No newline at end of file
diff --git a/tests-ui/babel.config.json b/tests-ui/babel.config.json
new file mode 100644
index 000000000..526ddfd8d
--- /dev/null
+++ b/tests-ui/babel.config.json
@@ -0,0 +1,3 @@
+{
+ "presets": ["@babel/preset-env"]
+}
diff --git a/tests-ui/globalSetup.js b/tests-ui/globalSetup.js
new file mode 100644
index 000000000..b9d97f58a
--- /dev/null
+++ b/tests-ui/globalSetup.js
@@ -0,0 +1,14 @@
+module.exports = async function () {
+ global.ResizeObserver = class ResizeObserver {
+ observe() {}
+ unobserve() {}
+ disconnect() {}
+ };
+
+ const { nop } = require("./utils/nopProxy");
+ global.enableWebGLCanvas = nop;
+
+ HTMLCanvasElement.prototype.getContext = nop;
+
+ localStorage["Comfy.Settings.Comfy.Logging.Enabled"] = "false";
+};
diff --git a/tests-ui/jest.config.js b/tests-ui/jest.config.js
new file mode 100644
index 000000000..b5a5d646d
--- /dev/null
+++ b/tests-ui/jest.config.js
@@ -0,0 +1,9 @@
+/** @type {import('jest').Config} */
+const config = {
+ testEnvironment: "jsdom",
+ setupFiles: ["./globalSetup.js"],
+ clearMocks: true,
+ resetModules: true,
+};
+
+module.exports = config;
diff --git a/tests-ui/package-lock.json b/tests-ui/package-lock.json
new file mode 100644
index 000000000..35911cd7f
--- /dev/null
+++ b/tests-ui/package-lock.json
@@ -0,0 +1,5566 @@
+{
+ "name": "comfui-tests",
+ "version": "1.0.0",
+ "lockfileVersion": 3,
+ "requires": true,
+ "packages": {
+ "": {
+ "name": "comfui-tests",
+ "version": "1.0.0",
+ "license": "GPL-3.0",
+ "devDependencies": {
+ "@babel/preset-env": "^7.22.20",
+ "@types/jest": "^29.5.5",
+ "jest": "^29.7.0",
+ "jest-environment-jsdom": "^29.7.0"
+ }
+ },
+ "node_modules/@ampproject/remapping": {
+ "version": "2.2.1",
+ "resolved": "https://registry.npmjs.org/@ampproject/remapping/-/remapping-2.2.1.tgz",
+ "integrity": "sha512-lFMjJTrFL3j7L9yBxwYfCq2k6qqwHyzuUl/XBnif78PWTJYyL/dfowQHWE3sp6U6ZzqWiiIZnpTMO96zhkjwtg==",
+ "dev": true,
+ "dependencies": {
+ "@jridgewell/gen-mapping": "^0.3.0",
+ "@jridgewell/trace-mapping": "^0.3.9"
+ },
+ "engines": {
+ "node": ">=6.0.0"
+ }
+ },
+ "node_modules/@babel/code-frame": {
+ "version": "7.22.13",
+ "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.22.13.tgz",
+ "integrity": "sha512-XktuhWlJ5g+3TJXc5upd9Ks1HutSArik6jf2eAjYFyIOf4ej3RN+184cZbzDvbPnuTJIUhPKKJE3cIsYTiAT3w==",
+ "dev": true,
+ "dependencies": {
+ "@babel/highlight": "^7.22.13",
+ "chalk": "^2.4.2"
+ },
+ "engines": {
+ "node": ">=6.9.0"
+ }
+ },
+ "node_modules/@babel/code-frame/node_modules/ansi-styles": {
+ "version": "3.2.1",
+ "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-3.2.1.tgz",
+ "integrity": "sha512-VT0ZI6kZRdTh8YyJw3SMbYm/u+NqfsAxEpWO0Pf9sq8/e94WxxOpPKx9FR1FlyCtOVDNOQ+8ntlqFxiRc+r5qA==",
+ "dev": true,
+ "dependencies": {
+ "color-convert": "^1.9.0"
+ },
+ "engines": {
+ "node": ">=4"
+ }
+ },
+ "node_modules/@babel/code-frame/node_modules/chalk": {
+ "version": "2.4.2",
+ "resolved": "https://registry.npmjs.org/chalk/-/chalk-2.4.2.tgz",
+ "integrity": "sha512-Mti+f9lpJNcwF4tWV8/OrTTtF1gZi+f8FqlyAdouralcFWFQWF2+NgCHShjkCb+IFBLq9buZwE1xckQU4peSuQ==",
+ "dev": true,
+ "dependencies": {
+ "ansi-styles": "^3.2.1",
+ "escape-string-regexp": "^1.0.5",
+ "supports-color": "^5.3.0"
+ },
+ "engines": {
+ "node": ">=4"
+ }
+ },
+ "node_modules/@babel/code-frame/node_modules/color-convert": {
+ "version": "1.9.3",
+ "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-1.9.3.tgz",
+ "integrity": "sha512-QfAUtd+vFdAtFQcC8CCyYt1fYWxSqAiK2cSD6zDB8N3cpsEBAvRxp9zOGg6G/SHHJYAT88/az/IuDGALsNVbGg==",
+ "dev": true,
+ "dependencies": {
+ "color-name": "1.1.3"
+ }
+ },
+ "node_modules/@babel/code-frame/node_modules/color-name": {
+ "version": "1.1.3",
+ "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.3.tgz",
+ "integrity": "sha512-72fSenhMw2HZMTVHeCA9KCmpEIbzWiQsjN+BHcBbS9vr1mtt+vJjPdksIBNUmKAW8TFUDPJK5SUU3QhE9NEXDw==",
+ "dev": true
+ },
+ "node_modules/@babel/code-frame/node_modules/escape-string-regexp": {
+ "version": "1.0.5",
+ "resolved": "https://registry.npmjs.org/escape-string-regexp/-/escape-string-regexp-1.0.5.tgz",
+ "integrity": "sha512-vbRorB5FUQWvla16U8R/qgaFIya2qGzwDrNmCZuYKrbdSUMG6I1ZCGQRefkRVhuOkIGVne7BQ35DSfo1qvJqFg==",
+ "dev": true,
+ "engines": {
+ "node": ">=0.8.0"
+ }
+ },
+ "node_modules/@babel/code-frame/node_modules/has-flag": {
+ "version": "3.0.0",
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diff --git a/tests-ui/package.json b/tests-ui/package.json
new file mode 100644
index 000000000..e7b60ad8e
--- /dev/null
+++ b/tests-ui/package.json
@@ -0,0 +1,30 @@
+{
+ "name": "comfui-tests",
+ "version": "1.0.0",
+ "description": "UI tests",
+ "main": "index.js",
+ "scripts": {
+ "test": "jest",
+ "test:generate": "node setup.js"
+ },
+ "repository": {
+ "type": "git",
+ "url": "git+https://github.com/comfyanonymous/ComfyUI.git"
+ },
+ "keywords": [
+ "comfyui",
+ "test"
+ ],
+ "author": "comfyanonymous",
+ "license": "GPL-3.0",
+ "bugs": {
+ "url": "https://github.com/comfyanonymous/ComfyUI/issues"
+ },
+ "homepage": "https://github.com/comfyanonymous/ComfyUI#readme",
+ "devDependencies": {
+ "@babel/preset-env": "^7.22.20",
+ "@types/jest": "^29.5.5",
+ "jest": "^29.7.0",
+ "jest-environment-jsdom": "^29.7.0"
+ }
+}
diff --git a/tests-ui/setup.js b/tests-ui/setup.js
new file mode 100644
index 000000000..0f368ab22
--- /dev/null
+++ b/tests-ui/setup.js
@@ -0,0 +1,87 @@
+const { spawn } = require("child_process");
+const { resolve } = require("path");
+const { existsSync, mkdirSync, writeFileSync } = require("fs");
+const http = require("http");
+
+async function setup() {
+ // Wait up to 30s for it to start
+ let success = false;
+ let child;
+ for (let i = 0; i < 30; i++) {
+ try {
+ await new Promise((res, rej) => {
+ http
+ .get("http://127.0.0.1:8188/object_info", (resp) => {
+ let data = "";
+ resp.on("data", (chunk) => {
+ data += chunk;
+ });
+ resp.on("end", () => {
+ // Modify the response data to add some checkpoints
+ const objectInfo = JSON.parse(data);
+ objectInfo.CheckpointLoaderSimple.input.required.ckpt_name[0] = ["model1.safetensors", "model2.ckpt"];
+
+ data = JSON.stringify(objectInfo, undefined, "\t");
+
+ const outDir = resolve("./data");
+ if (!existsSync(outDir)) {
+ mkdirSync(outDir);
+ }
+
+ const outPath = resolve(outDir, "object_info.json");
+ console.log(`Writing ${Object.keys(objectInfo).length} nodes to ${outPath}`);
+ writeFileSync(outPath, data, {
+ encoding: "utf8",
+ });
+ res();
+ });
+ })
+ .on("error", rej);
+ });
+ success = true;
+ break;
+ } catch (error) {
+ console.log(i + "/30", error);
+ if (i === 0) {
+ // Start the server on first iteration if it fails to connect
+ console.log("Starting ComfyUI server...");
+
+ let python = resolve("../../python_embeded/python.exe");
+ let args;
+ let cwd;
+ if (existsSync(python)) {
+ args = ["-s", "ComfyUI/main.py"];
+ cwd = "../..";
+ } else {
+ python = "python";
+ args = ["main.py"];
+ cwd = "..";
+ }
+ args.push("--cpu");
+ console.log(python, ...args);
+ child = spawn(python, args, { cwd });
+ child.on("error", (err) => {
+ console.log(`Server error (${err})`);
+ i = 30;
+ });
+ child.on("exit", (code) => {
+ if (!success) {
+ console.log(`Server exited (${code})`);
+ i = 30;
+ }
+ });
+ }
+ await new Promise((r) => {
+ setTimeout(r, 1000);
+ });
+ }
+ }
+
+ child?.kill();
+
+ if (!success) {
+ throw new Error("Waiting for server failed...");
+ }
+}
+
+ setup();
\ No newline at end of file
diff --git a/tests-ui/tests/widgetInputs.test.js b/tests-ui/tests/widgetInputs.test.js
new file mode 100644
index 000000000..022e54926
--- /dev/null
+++ b/tests-ui/tests/widgetInputs.test.js
@@ -0,0 +1,319 @@
+// @ts-check
+///
+
+const { start, makeNodeDef, checkBeforeAndAfterReload, assertNotNullOrUndefined } = require("../utils");
+const lg = require("../utils/litegraph");
+
+/**
+ * @typedef { import("../utils/ezgraph") } Ez
+ * @typedef { ReturnType["ez"] } EzNodeFactory
+ */
+
+/**
+ * @param { EzNodeFactory } ez
+ * @param { InstanceType } graph
+ * @param { InstanceType } input
+ * @param { string } widgetType
+ * @param { boolean } hasControlWidget
+ * @returns
+ */
+async function connectPrimitiveAndReload(ez, graph, input, widgetType, hasControlWidget) {
+ // Connect to primitive and ensure its still connected after
+ let primitive = ez.PrimitiveNode();
+ primitive.outputs[0].connectTo(input);
+
+ await checkBeforeAndAfterReload(graph, async () => {
+ primitive = graph.find(primitive);
+ let { connections } = primitive.outputs[0];
+ expect(connections).toHaveLength(1);
+ expect(connections[0].targetNode.id).toBe(input.node.node.id);
+
+ // Ensure widget is correct type
+ const valueWidget = primitive.widgets.value;
+ expect(valueWidget.widget.type).toBe(widgetType);
+
+ // Check if control_after_generate should be added
+ if (hasControlWidget) {
+ const controlWidget = primitive.widgets.control_after_generate;
+ expect(controlWidget.widget.type).toBe("combo");
+ }
+
+ // Ensure we dont have other widgets
+ expect(primitive.node.widgets).toHaveLength(1 + +!!hasControlWidget);
+ });
+
+ return primitive;
+}
+
+describe("widget inputs", () => {
+ beforeEach(() => {
+ lg.setup(global);
+ });
+
+ afterEach(() => {
+ lg.teardown(global);
+ });
+
+ [
+ { name: "int", type: "INT", widget: "number", control: true },
+ { name: "float", type: "FLOAT", widget: "number", control: true },
+ { name: "text", type: "STRING" },
+ {
+ name: "customtext",
+ type: "STRING",
+ opt: { multiline: true },
+ },
+ { name: "toggle", type: "BOOLEAN" },
+ { name: "combo", type: ["a", "b", "c"], control: true },
+ ].forEach((c) => {
+ test(`widget conversion + primitive works on ${c.name}`, async () => {
+ const { ez, graph } = await start({
+ mockNodeDefs: makeNodeDef("TestNode", { [c.name]: [c.type, c.opt ?? {}] }),
+ });
+
+ // Create test node and convert to input
+ const n = ez.TestNode();
+ const w = n.widgets[c.name];
+ w.convertToInput();
+ expect(w.isConvertedToInput).toBeTruthy();
+ const input = w.getConvertedInput();
+ expect(input).toBeTruthy();
+
+ // @ts-ignore : input is valid here
+ await connectPrimitiveAndReload(ez, graph, input, c.widget ?? c.name, c.control);
+ });
+ });
+
+ test("converted widget works after reload", async () => {
+ const { ez, graph } = await start();
+ let n = ez.CheckpointLoaderSimple();
+
+ const inputCount = n.inputs.length;
+
+ // Convert ckpt name to an input
+ n.widgets.ckpt_name.convertToInput();
+ expect(n.widgets.ckpt_name.isConvertedToInput).toBeTruthy();
+ expect(n.inputs.ckpt_name).toBeTruthy();
+ expect(n.inputs.length).toEqual(inputCount + 1);
+
+ // Convert back to widget and ensure input is removed
+ n.widgets.ckpt_name.convertToWidget();
+ expect(n.widgets.ckpt_name.isConvertedToInput).toBeFalsy();
+ expect(n.inputs.ckpt_name).toBeFalsy();
+ expect(n.inputs.length).toEqual(inputCount);
+
+ // Convert again and reload the graph to ensure it maintains state
+ n.widgets.ckpt_name.convertToInput();
+ expect(n.inputs.length).toEqual(inputCount + 1);
+
+ const primitive = await connectPrimitiveAndReload(ez, graph, n.inputs.ckpt_name, "combo", true);
+
+ // Disconnect & reconnect
+ primitive.outputs[0].connections[0].disconnect();
+ let { connections } = primitive.outputs[0];
+ expect(connections).toHaveLength(0);
+
+ primitive.outputs[0].connectTo(n.inputs.ckpt_name);
+ ({ connections } = primitive.outputs[0]);
+ expect(connections).toHaveLength(1);
+ expect(connections[0].targetNode.id).toBe(n.node.id);
+
+ // Convert back to widget and ensure input is removed
+ n.widgets.ckpt_name.convertToWidget();
+ expect(n.widgets.ckpt_name.isConvertedToInput).toBeFalsy();
+ expect(n.inputs.ckpt_name).toBeFalsy();
+ expect(n.inputs.length).toEqual(inputCount);
+ });
+
+ test("converted widget works on clone", async () => {
+ const { graph, ez } = await start();
+ let n = ez.CheckpointLoaderSimple();
+
+ // Convert the widget to an input
+ n.widgets.ckpt_name.convertToInput();
+ expect(n.widgets.ckpt_name.isConvertedToInput).toBeTruthy();
+
+ // Clone the node
+ n.menu["Clone"].call();
+ expect(graph.nodes).toHaveLength(2);
+ const clone = graph.nodes[1];
+ expect(clone.id).not.toEqual(n.id);
+
+ // Ensure the clone has an input
+ expect(clone.widgets.ckpt_name.isConvertedToInput).toBeTruthy();
+ expect(clone.inputs.ckpt_name).toBeTruthy();
+
+ // Ensure primitive connects to both nodes
+ let primitive = ez.PrimitiveNode();
+ primitive.outputs[0].connectTo(n.inputs.ckpt_name);
+ primitive.outputs[0].connectTo(clone.inputs.ckpt_name);
+ expect(primitive.outputs[0].connections).toHaveLength(2);
+
+ // Convert back to widget and ensure input is removed
+ clone.widgets.ckpt_name.convertToWidget();
+ expect(clone.widgets.ckpt_name.isConvertedToInput).toBeFalsy();
+ expect(clone.inputs.ckpt_name).toBeFalsy();
+ });
+
+ test("shows missing node error on custom node with converted input", async () => {
+ const { graph } = await start();
+
+ const dialogShow = jest.spyOn(graph.app.ui.dialog, "show");
+
+ await graph.app.loadGraphData({
+ last_node_id: 3,
+ last_link_id: 4,
+ nodes: [
+ {
+ id: 1,
+ type: "TestNode",
+ pos: [41.87329101561909, 389.7381480823742],
+ size: { 0: 220, 1: 374 },
+ flags: {},
+ order: 1,
+ mode: 0,
+ inputs: [{ name: "test", type: "FLOAT", link: 4, widget: { name: "test" }, slot_index: 0 }],
+ outputs: [],
+ properties: { "Node name for S&R": "TestNode" },
+ widgets_values: [1],
+ },
+ {
+ id: 3,
+ type: "PrimitiveNode",
+ pos: [-312, 433],
+ size: { 0: 210, 1: 82 },
+ flags: {},
+ order: 0,
+ mode: 0,
+ outputs: [{ links: [4], widget: { name: "test" } }],
+ title: "test",
+ properties: {},
+ },
+ ],
+ links: [[4, 3, 0, 1, 6, "FLOAT"]],
+ groups: [],
+ config: {},
+ extra: {},
+ version: 0.4,
+ });
+
+ expect(dialogShow).toBeCalledTimes(1);
+ expect(dialogShow.mock.calls[0][0]).toContain("the following node types were not found");
+ expect(dialogShow.mock.calls[0][0]).toContain("TestNode");
+ });
+
+ test("defaultInput widgets can be converted back to inputs", async () => {
+ const { graph, ez } = await start({
+ mockNodeDefs: makeNodeDef("TestNode", { example: ["INT", { defaultInput: true }] }),
+ });
+
+ // Create test node and ensure it starts as an input
+ let n = ez.TestNode();
+ let w = n.widgets.example;
+ expect(w.isConvertedToInput).toBeTruthy();
+ let input = w.getConvertedInput();
+ expect(input).toBeTruthy();
+
+ // Ensure it can be converted to
+ w.convertToWidget();
+ expect(w.isConvertedToInput).toBeFalsy();
+ expect(n.inputs.length).toEqual(0);
+ // and from
+ w.convertToInput();
+ expect(w.isConvertedToInput).toBeTruthy();
+ input = w.getConvertedInput();
+
+ // Reload and ensure it still only has 1 converted widget
+ if (!assertNotNullOrUndefined(input)) return;
+
+ await connectPrimitiveAndReload(ez, graph, input, "number", true);
+ n = graph.find(n);
+ expect(n.widgets).toHaveLength(1);
+ w = n.widgets.example;
+ expect(w.isConvertedToInput).toBeTruthy();
+
+ // Convert back to widget and ensure it is still a widget after reload
+ w.convertToWidget();
+ await graph.reload();
+ n = graph.find(n);
+ expect(n.widgets).toHaveLength(1);
+ expect(n.widgets[0].isConvertedToInput).toBeFalsy();
+ expect(n.inputs.length).toEqual(0);
+ });
+
+ test("forceInput widgets can not be converted back to inputs", async () => {
+ const { graph, ez } = await start({
+ mockNodeDefs: makeNodeDef("TestNode", { example: ["INT", { forceInput: true }] }),
+ });
+
+ // Create test node and ensure it starts as an input
+ let n = ez.TestNode();
+ let w = n.widgets.example;
+ expect(w.isConvertedToInput).toBeTruthy();
+ const input = w.getConvertedInput();
+ expect(input).toBeTruthy();
+
+ // Convert to widget should error
+ expect(() => w.convertToWidget()).toThrow();
+
+ // Reload and ensure it still only has 1 converted widget
+ if (assertNotNullOrUndefined(input)) {
+ await connectPrimitiveAndReload(ez, graph, input, "number", true);
+ n = graph.find(n);
+ expect(n.widgets).toHaveLength(1);
+ expect(n.widgets.example.isConvertedToInput).toBeTruthy();
+ }
+ });
+
+ test("primitive can connect to matching combos on converted widgets", async () => {
+ const { ez } = await start({
+ mockNodeDefs: {
+ ...makeNodeDef("TestNode1", { example: [["A", "B", "C"], { forceInput: true }] }),
+ ...makeNodeDef("TestNode2", { example: [["A", "B", "C"], { forceInput: true }] }),
+ },
+ });
+
+ const n1 = ez.TestNode1();
+ const n2 = ez.TestNode2();
+ const p = ez.PrimitiveNode();
+ p.outputs[0].connectTo(n1.inputs[0]);
+ p.outputs[0].connectTo(n2.inputs[0]);
+ expect(p.outputs[0].connections).toHaveLength(2);
+ const valueWidget = p.widgets.value;
+ expect(valueWidget.widget.type).toBe("combo");
+ expect(valueWidget.widget.options.values).toEqual(["A", "B", "C"]);
+ });
+
+ test("primitive can not connect to non matching combos on converted widgets", async () => {
+ const { ez } = await start({
+ mockNodeDefs: {
+ ...makeNodeDef("TestNode1", { example: [["A", "B", "C"], { forceInput: true }] }),
+ ...makeNodeDef("TestNode2", { example: [["A", "B"], { forceInput: true }] }),
+ },
+ });
+
+ const n1 = ez.TestNode1();
+ const n2 = ez.TestNode2();
+ const p = ez.PrimitiveNode();
+ p.outputs[0].connectTo(n1.inputs[0]);
+ expect(() => p.outputs[0].connectTo(n2.inputs[0])).toThrow();
+ expect(p.outputs[0].connections).toHaveLength(1);
+ });
+
+ test("combo output can not connect to non matching combos list input", async () => {
+ const { ez } = await start({
+ mockNodeDefs: {
+ ...makeNodeDef("TestNode1", {}, [["A", "B"]]),
+ ...makeNodeDef("TestNode2", { example: [["A", "B"], { forceInput: true}] }),
+ ...makeNodeDef("TestNode3", { example: [["A", "B", "C"], { forceInput: true}] }),
+ },
+ });
+
+ const n1 = ez.TestNode1();
+ const n2 = ez.TestNode2();
+ const n3 = ez.TestNode3();
+
+ n1.outputs[0].connectTo(n2.inputs[0]);
+ expect(() => n1.outputs[0].connectTo(n3.inputs[0])).toThrow();
+ });
+});
diff --git a/tests-ui/utils/ezgraph.js b/tests-ui/utils/ezgraph.js
new file mode 100644
index 000000000..0e81fd47b
--- /dev/null
+++ b/tests-ui/utils/ezgraph.js
@@ -0,0 +1,417 @@
+// @ts-check
+///
+
+/**
+ * @typedef { import("../../web/scripts/app")["app"] } app
+ * @typedef { import("../../web/types/litegraph") } LG
+ * @typedef { import("../../web/types/litegraph").IWidget } IWidget
+ * @typedef { import("../../web/types/litegraph").ContextMenuItem } ContextMenuItem
+ * @typedef { import("../../web/types/litegraph").INodeInputSlot } INodeInputSlot
+ * @typedef { import("../../web/types/litegraph").INodeOutputSlot } INodeOutputSlot
+ * @typedef { InstanceType & { widgets?: Array } } LGNode
+ * @typedef { (...args: EzOutput[] | [...EzOutput[], Record]) => EzNode } EzNodeFactory
+ */
+
+export class EzConnection {
+ /** @type { app } */
+ app;
+ /** @type { InstanceType } */
+ link;
+
+ get originNode() {
+ return new EzNode(this.app, this.app.graph.getNodeById(this.link.origin_id));
+ }
+
+ get originOutput() {
+ return this.originNode.outputs[this.link.origin_slot];
+ }
+
+ get targetNode() {
+ return new EzNode(this.app, this.app.graph.getNodeById(this.link.target_id));
+ }
+
+ get targetInput() {
+ return this.targetNode.inputs[this.link.target_slot];
+ }
+
+ /**
+ * @param { app } app
+ * @param { InstanceType } link
+ */
+ constructor(app, link) {
+ this.app = app;
+ this.link = link;
+ }
+
+ disconnect() {
+ this.targetInput.disconnect();
+ }
+}
+
+export class EzSlot {
+ /** @type { EzNode } */
+ node;
+ /** @type { number } */
+ index;
+
+ /**
+ * @param { EzNode } node
+ * @param { number } index
+ */
+ constructor(node, index) {
+ this.node = node;
+ this.index = index;
+ }
+}
+
+export class EzInput extends EzSlot {
+ /** @type { INodeInputSlot } */
+ input;
+
+ /**
+ * @param { EzNode } node
+ * @param { number } index
+ * @param { INodeInputSlot } input
+ */
+ constructor(node, index, input) {
+ super(node, index);
+ this.input = input;
+ }
+
+ disconnect() {
+ this.node.node.disconnectInput(this.index);
+ }
+}
+
+export class EzOutput extends EzSlot {
+ /** @type { INodeOutputSlot } */
+ output;
+
+ /**
+ * @param { EzNode } node
+ * @param { number } index
+ * @param { INodeOutputSlot } output
+ */
+ constructor(node, index, output) {
+ super(node, index);
+ this.output = output;
+ }
+
+ get connections() {
+ return (this.node.node.outputs?.[this.index]?.links ?? []).map(
+ (l) => new EzConnection(this.node.app, this.node.app.graph.links[l])
+ );
+ }
+
+ /**
+ * @param { EzInput } input
+ */
+ connectTo(input) {
+ if (!input) throw new Error("Invalid input");
+
+ /**
+ * @type { LG["LLink"] | null }
+ */
+ const link = this.node.node.connect(this.index, input.node.node, input.index);
+ if (!link) {
+ const inp = input.input;
+ const inName = inp.name || inp.label || inp.type;
+ throw new Error(
+ `Connecting from ${input.node.node.type}[${inName}#${input.index}] -> ${this.node.node.type}[${
+ this.output.name ?? this.output.type
+ }#${this.index}] failed.`
+ );
+ }
+ return link;
+ }
+}
+
+export class EzNodeMenuItem {
+ /** @type { EzNode } */
+ node;
+ /** @type { number } */
+ index;
+ /** @type { ContextMenuItem } */
+ item;
+
+ /**
+ * @param { EzNode } node
+ * @param { number } index
+ * @param { ContextMenuItem } item
+ */
+ constructor(node, index, item) {
+ this.node = node;
+ this.index = index;
+ this.item = item;
+ }
+
+ call(selectNode = true) {
+ if (!this.item?.callback) throw new Error(`Menu Item ${this.item?.content ?? "[null]"} has no callback.`);
+ if (selectNode) {
+ this.node.select();
+ }
+ this.item.callback.call(this.node.node, undefined, undefined, undefined, undefined, this.node.node);
+ }
+}
+
+export class EzWidget {
+ /** @type { EzNode } */
+ node;
+ /** @type { number } */
+ index;
+ /** @type { IWidget } */
+ widget;
+
+ /**
+ * @param { EzNode } node
+ * @param { number } index
+ * @param { IWidget } widget
+ */
+ constructor(node, index, widget) {
+ this.node = node;
+ this.index = index;
+ this.widget = widget;
+ }
+
+ get value() {
+ return this.widget.value;
+ }
+
+ set value(v) {
+ this.widget.value = v;
+ }
+
+ get isConvertedToInput() {
+ // @ts-ignore : this type is valid for converted widgets
+ return this.widget.type === "converted-widget";
+ }
+
+ getConvertedInput() {
+ if (!this.isConvertedToInput) throw new Error(`Widget ${this.widget.name} is not converted to input.`);
+
+ return this.node.inputs.find((inp) => inp.input["widget"]?.name === this.widget.name);
+ }
+
+ convertToWidget() {
+ if (!this.isConvertedToInput)
+ throw new Error(`Widget ${this.widget.name} cannot be converted as it is already a widget.`);
+ this.node.menu[`Convert ${this.widget.name} to widget`].call();
+ }
+
+ convertToInput() {
+ if (this.isConvertedToInput)
+ throw new Error(`Widget ${this.widget.name} cannot be converted as it is already an input.`);
+ this.node.menu[`Convert ${this.widget.name} to input`].call();
+ }
+}
+
+export class EzNode {
+ /** @type { app } */
+ app;
+ /** @type { LGNode } */
+ node;
+
+ /**
+ * @param { app } app
+ * @param { LGNode } node
+ */
+ constructor(app, node) {
+ this.app = app;
+ this.node = node;
+ }
+
+ get id() {
+ return this.node.id;
+ }
+
+ get inputs() {
+ return this.#makeLookupArray("inputs", "name", EzInput);
+ }
+
+ get outputs() {
+ return this.#makeLookupArray("outputs", "name", EzOutput);
+ }
+
+ get widgets() {
+ return this.#makeLookupArray("widgets", "name", EzWidget);
+ }
+
+ get menu() {
+ return this.#makeLookupArray(() => this.app.canvas.getNodeMenuOptions(this.node), "content", EzNodeMenuItem);
+ }
+
+ select() {
+ this.app.canvas.selectNode(this.node);
+ }
+
+ // /**
+ // * @template { "inputs" | "outputs" } T
+ // * @param { T } type
+ // * @returns { Record & (type extends "inputs" ? EzInput [] : EzOutput[]) }
+ // */
+ // #getSlotItems(type) {
+ // // @ts-ignore : these items are correct
+ // return (this.node[type] ?? []).reduce((p, s, i) => {
+ // if (s.name in p) {
+ // throw new Error(`Unable to store input ${s.name} on array as name conflicts.`);
+ // }
+ // // @ts-ignore
+ // p.push((p[s.name] = new (type === "inputs" ? EzInput : EzOutput)(this, i, s)));
+ // return p;
+ // }, Object.assign([], { $: this }));
+ // }
+
+ /**
+ * @template { { new(node: EzNode, index: number, obj: any): any } } T
+ * @param { "inputs" | "outputs" | "widgets" | (() => Array) } nodeProperty
+ * @param { string } nameProperty
+ * @param { T } ctor
+ * @returns { Record> & Array> }
+ */
+ #makeLookupArray(nodeProperty, nameProperty, ctor) {
+ const items = typeof nodeProperty === "function" ? nodeProperty() : this.node[nodeProperty];
+ // @ts-ignore
+ return (items ?? []).reduce((p, s, i) => {
+ if (!s) return p;
+
+ const name = s[nameProperty];
+ // @ts-ignore
+ if (!name || name in p) {
+ throw new Error(`Unable to store ${nodeProperty} ${name} on array as name conflicts.`);
+ }
+ // @ts-ignore
+ p.push((p[name] = new ctor(this, i, s)));
+ return p;
+ }, Object.assign([], { $: this }));
+ }
+}
+
+export class EzGraph {
+ /** @type { app } */
+ app;
+
+ /**
+ * @param { app } app
+ */
+ constructor(app) {
+ this.app = app;
+ }
+
+ get nodes() {
+ return this.app.graph._nodes.map((n) => new EzNode(this.app, n));
+ }
+
+ clear() {
+ this.app.graph.clear();
+ }
+
+ arrange() {
+ this.app.graph.arrange();
+ }
+
+ stringify() {
+ return JSON.stringify(this.app.graph.serialize(), undefined, "\t");
+ }
+
+ /**
+ * @param { number | LGNode | EzNode } obj
+ * @returns { EzNode }
+ */
+ find(obj) {
+ let match;
+ let id;
+ if (typeof obj === "number") {
+ id = obj;
+ } else {
+ id = obj.id;
+ }
+
+ match = this.app.graph.getNodeById(id);
+
+ if (!match) {
+ throw new Error(`Unable to find node with ID ${id}.`);
+ }
+
+ return new EzNode(this.app, match);
+ }
+
+ /**
+ * @returns { Promise }
+ */
+ reload() {
+ const graph = JSON.parse(JSON.stringify(this.app.graph.serialize()));
+ return new Promise((r) => {
+ this.app.graph.clear();
+ setTimeout(async () => {
+ await this.app.loadGraphData(graph);
+ r();
+ }, 10);
+ });
+ }
+}
+
+export const Ez = {
+ /**
+ * Quickly build and interact with a ComfyUI graph
+ * @example
+ * const { ez, graph } = Ez.graph(app);
+ * graph.clear();
+ * const [model, clip, vae] = ez.CheckpointLoaderSimple();
+ * const [pos] = ez.CLIPTextEncode(clip, { text: "positive" });
+ * const [neg] = ez.CLIPTextEncode(clip, { text: "negative" });
+ * const [latent] = ez.KSampler(model, pos, neg, ...ez.EmptyLatentImage());
+ * const [image] = ez.VAEDecode(latent, vae);
+ * const saveNode = ez.SaveImage(image).node;
+ * console.log(saveNode);
+ * graph.arrange();
+ * @param { app } app
+ * @param { LG["LiteGraph"] } LiteGraph
+ * @param { LG["LGraphCanvas"] } LGraphCanvas
+ * @param { boolean } clearGraph
+ * @returns { { graph: EzGraph, ez: Record } }
+ */
+ graph(app, LiteGraph = window["LiteGraph"], LGraphCanvas = window["LGraphCanvas"], clearGraph = true) {
+ // Always set the active canvas so things work
+ LGraphCanvas.active_canvas = app.canvas;
+
+ if (clearGraph) {
+ app.graph.clear();
+ }
+
+ // @ts-ignore : this proxy handles utility methods & node creation
+ const factory = new Proxy(
+ {},
+ {
+ get(_, p) {
+ if (typeof p !== "string") throw new Error("Invalid node");
+ const node = LiteGraph.createNode(p);
+ if (!node) throw new Error(`Unknown node "${p}"`);
+ app.graph.add(node);
+
+ /**
+ * @param {Parameters} args
+ */
+ return function (...args) {
+ const ezNode = new EzNode(app, node);
+ const inputs = ezNode.inputs;
+
+ let slot = 0;
+ for (const arg of args) {
+ if (arg instanceof EzOutput) {
+ arg.connectTo(inputs[slot++]);
+ } else {
+ for (const k in arg) {
+ ezNode.widgets[k].value = arg[k];
+ }
+ }
+ }
+
+ return ezNode;
+ };
+ },
+ }
+ );
+
+ return { graph: new EzGraph(app), ez: factory };
+ },
+};
diff --git a/tests-ui/utils/index.js b/tests-ui/utils/index.js
new file mode 100644
index 000000000..01c58b21f
--- /dev/null
+++ b/tests-ui/utils/index.js
@@ -0,0 +1,71 @@
+const { mockApi } = require("./setup");
+const { Ez } = require("./ezgraph");
+
+/**
+ *
+ * @param { Parameters[0] } config
+ * @returns
+ */
+export async function start(config = undefined) {
+ mockApi(config);
+ const { app } = require("../../web/scripts/app");
+ await app.setup();
+ return Ez.graph(app, global["LiteGraph"], global["LGraphCanvas"]);
+}
+
+/**
+ * @param { ReturnType["graph"] } graph
+ * @param { (hasReloaded: boolean) => (Promise | void) } cb
+ */
+export async function checkBeforeAndAfterReload(graph, cb) {
+ await cb(false);
+ await graph.reload();
+ await cb(true);
+}
+
+/**
+ * @param { string } name
+ * @param { Record } input
+ * @param { (string | string[])[] | Record } output
+ * @returns { Record }
+ */
+export function makeNodeDef(name, input, output = {}) {
+ const nodeDef = {
+ name,
+ category: "test",
+ output: [],
+ output_name: [],
+ output_is_list: [],
+ input: {
+ required: {}
+ },
+ };
+ for(const k in input) {
+ nodeDef.input.required[k] = typeof input[k] === "string" ? [input[k], {}] : [...input[k]];
+ }
+ if(output instanceof Array) {
+ output = output.reduce((p, c) => {
+ p[c] = c;
+ return p;
+ }, {})
+ }
+ for(const k in output) {
+ nodeDef.output.push(output[k]);
+ nodeDef.output_name.push(k);
+ nodeDef.output_is_list.push(false);
+ }
+
+ return { [name]: nodeDef };
+}
+
+/**
+/**
+ * @template { any } T
+ * @param { T } x
+ * @returns { x is Exclude }
+ */
+export function assertNotNullOrUndefined(x) {
+ expect(x).not.toEqual(null);
+ expect(x).not.toEqual(undefined);
+ return true;
+}
\ No newline at end of file
diff --git a/tests-ui/utils/litegraph.js b/tests-ui/utils/litegraph.js
new file mode 100644
index 000000000..777f8c3ba
--- /dev/null
+++ b/tests-ui/utils/litegraph.js
@@ -0,0 +1,36 @@
+const fs = require("fs");
+const path = require("path");
+const { nop } = require("../utils/nopProxy");
+
+function forEachKey(cb) {
+ for (const k of [
+ "LiteGraph",
+ "LGraph",
+ "LLink",
+ "LGraphNode",
+ "LGraphGroup",
+ "DragAndScale",
+ "LGraphCanvas",
+ "ContextMenu",
+ ]) {
+ cb(k);
+ }
+}
+
+export function setup(ctx) {
+ const lg = fs.readFileSync(path.resolve("../web/lib/litegraph.core.js"), "utf-8");
+ const globalTemp = {};
+ (function (console) {
+ eval(lg);
+ }).call(globalTemp, nop);
+
+ forEachKey((k) => (ctx[k] = globalTemp[k]));
+ require(path.resolve("../web/lib/litegraph.extensions.js"));
+}
+
+export function teardown(ctx) {
+ forEachKey((k) => delete ctx[k]);
+
+ // Clear document after each run
+ document.getElementsByTagName("html")[0].innerHTML = "";
+}
diff --git a/tests-ui/utils/nopProxy.js b/tests-ui/utils/nopProxy.js
new file mode 100644
index 000000000..2502d9d03
--- /dev/null
+++ b/tests-ui/utils/nopProxy.js
@@ -0,0 +1,6 @@
+export const nop = new Proxy(function () {}, {
+ get: () => nop,
+ set: () => true,
+ apply: () => nop,
+ construct: () => nop,
+});
diff --git a/tests-ui/utils/setup.js b/tests-ui/utils/setup.js
new file mode 100644
index 000000000..17e8ac1ad
--- /dev/null
+++ b/tests-ui/utils/setup.js
@@ -0,0 +1,45 @@
+require("../../web/scripts/api");
+
+const fs = require("fs");
+const path = require("path");
+function* walkSync(dir) {
+ const files = fs.readdirSync(dir, { withFileTypes: true });
+ for (const file of files) {
+ if (file.isDirectory()) {
+ yield* walkSync(path.join(dir, file.name));
+ } else {
+ yield path.join(dir, file.name);
+ }
+ }
+}
+
+/**
+ * @typedef { import("../../web/types/comfy").ComfyObjectInfo } ComfyObjectInfo
+ */
+
+/**
+ * @param { { mockExtensions?: string[], mockNodeDefs?: Record } } config
+ */
+export function mockApi({ mockExtensions, mockNodeDefs } = {}) {
+ if (!mockExtensions) {
+ mockExtensions = Array.from(walkSync(path.resolve("../web/extensions/core")))
+ .filter((x) => x.endsWith(".js"))
+ .map((x) => path.relative(path.resolve("../web"), x));
+ }
+ if (!mockNodeDefs) {
+ mockNodeDefs = JSON.parse(fs.readFileSync(path.resolve("./data/object_info.json")));
+ }
+
+ jest.mock("../../web/scripts/api", () => ({
+ get api() {
+ return {
+ addEventListener: jest.fn(),
+ getSystemStats: jest.fn(),
+ getExtensions: jest.fn(() => mockExtensions),
+ getNodeDefs: jest.fn(() => mockNodeDefs),
+ init: jest.fn(),
+ apiURL: jest.fn((x) => "../../web/" + x),
+ };
+ },
+ }));
+}
diff --git a/web/extensions/core/groupOptions.js b/web/extensions/core/groupOptions.js
index 1d935e90a..5dd21e730 100644
--- a/web/extensions/core/groupOptions.js
+++ b/web/extensions/core/groupOptions.js
@@ -5,6 +5,61 @@ function setNodeMode(node, mode) {
node.graph.change();
}
+function addNodesToGroup(group, nodes=[]) {
+ var x1, y1, x2, y2;
+ var nx1, ny1, nx2, ny2;
+ var node;
+
+ x1 = y1 = x2 = y2 = -1;
+ nx1 = ny1 = nx2 = ny2 = -1;
+
+ for (var n of [group._nodes, nodes]) {
+ for (var i in n) {
+ node = n[i]
+
+ nx1 = node.pos[0]
+ ny1 = node.pos[1]
+ nx2 = node.pos[0] + node.size[0]
+ ny2 = node.pos[1] + node.size[1]
+
+ if (node.type != "Reroute") {
+ ny1 -= LiteGraph.NODE_TITLE_HEIGHT;
+ }
+
+ if (node.flags?.collapsed) {
+ ny2 = ny1 + LiteGraph.NODE_TITLE_HEIGHT;
+
+ if (node?._collapsed_width) {
+ nx2 = nx1 + Math.round(node._collapsed_width);
+ }
+ }
+
+ if (x1 == -1 || nx1 < x1) {
+ x1 = nx1;
+ }
+
+ if (y1 == -1 || ny1 < y1) {
+ y1 = ny1;
+ }
+
+ if (x2 == -1 || nx2 > x2) {
+ x2 = nx2;
+ }
+
+ if (y2 == -1 || ny2 > y2) {
+ y2 = ny2;
+ }
+ }
+ }
+
+ var padding = 10;
+
+ y1 = y1 - Math.round(group.font_size * 1.4);
+
+ group.pos = [x1 - padding, y1 - padding];
+ group.size = [x2 - x1 + padding * 2, y2 - y1 + padding * 2];
+}
+
app.registerExtension({
name: "Comfy.GroupOptions",
setup() {
@@ -14,6 +69,17 @@ app.registerExtension({
const options = orig.apply(this, arguments);
const group = this.graph.getGroupOnPos(this.graph_mouse[0], this.graph_mouse[1]);
if (!group) {
+ options.push({
+ content: "Add Group For Selected Nodes",
+ disabled: !Object.keys(app.canvas.selected_nodes || {}).length,
+ callback: () => {
+ var group = new LiteGraph.LGraphGroup();
+ addNodesToGroup(group, this.selected_nodes)
+ app.canvas.graph.add(group);
+ this.graph.change();
+ }
+ });
+
return options;
}
@@ -21,6 +87,15 @@ app.registerExtension({
group.recomputeInsideNodes();
const nodesInGroup = group._nodes;
+ options.push({
+ content: "Add Selected Nodes To Group",
+ disabled: !Object.keys(app.canvas.selected_nodes || {}).length,
+ callback: () => {
+ addNodesToGroup(group, this.selected_nodes)
+ this.graph.change();
+ }
+ });
+
// No nodes in group, return default options
if (nodesInGroup.length === 0) {
return options;
@@ -38,6 +113,23 @@ app.registerExtension({
}
}
+ options.push({
+ content: "Fit Group To Nodes",
+ callback: () => {
+ addNodesToGroup(group)
+ this.graph.change();
+ }
+ });
+
+ options.push({
+ content: "Select Nodes",
+ callback: () => {
+ this.selectNodes(nodesInGroup);
+ this.graph.change();
+ this.canvas.focus();
+ }
+ });
+
// Modes
// 0: Always
// 1: On Event
diff --git a/web/extensions/core/nodeTemplates.js b/web/extensions/core/nodeTemplates.js
index 7059f826d..434491075 100644
--- a/web/extensions/core/nodeTemplates.js
+++ b/web/extensions/core/nodeTemplates.js
@@ -22,6 +22,15 @@ class ManageTemplates extends ComfyDialog {
super();
this.element.classList.add("comfy-manage-templates");
this.templates = this.load();
+
+ this.importInput = $el("input", {
+ type: "file",
+ accept: ".json",
+ multiple: true,
+ style: {display: "none"},
+ parent: document.body,
+ onchange: () => this.importAll(),
+ });
}
createButtons() {
@@ -34,6 +43,22 @@ class ManageTemplates extends ComfyDialog {
onclick: () => this.save(),
})
);
+ btns.unshift(
+ $el("button", {
+ type: "button",
+ textContent: "Export",
+ onclick: () => this.exportAll(),
+ })
+ );
+ btns.unshift(
+ $el("button", {
+ type: "button",
+ textContent: "Import",
+ onclick: () => {
+ this.importInput.click();
+ },
+ })
+ );
return btns;
}
@@ -69,6 +94,52 @@ class ManageTemplates extends ComfyDialog {
localStorage.setItem(id, JSON.stringify(this.templates));
}
+ async importAll() {
+ for (const file of this.importInput.files) {
+ if (file.type === "application/json" || file.name.endsWith(".json")) {
+ const reader = new FileReader();
+ reader.onload = async () => {
+ var importFile = JSON.parse(reader.result);
+ if (importFile && importFile?.templates) {
+ for (const template of importFile.templates) {
+ if (template?.name && template?.data) {
+ this.templates.push(template);
+ }
+ }
+ this.store();
+ }
+ };
+ await reader.readAsText(file);
+ }
+ }
+
+ this.importInput.value = null;
+
+ this.close();
+ }
+
+ exportAll() {
+ if (this.templates.length == 0) {
+ alert("No templates to export.");
+ return;
+ }
+
+ const json = JSON.stringify({templates: this.templates}, null, 2); // convert the data to a JSON string
+ const blob = new Blob([json], {type: "application/json"});
+ const url = URL.createObjectURL(blob);
+ const a = $el("a", {
+ href: url,
+ download: "node_templates.json",
+ style: {display: "none"},
+ parent: document.body,
+ });
+ a.click();
+ setTimeout(function () {
+ a.remove();
+ window.URL.revokeObjectURL(url);
+ }, 0);
+ }
+
show() {
// Show list of template names + delete button
super.show(
@@ -97,19 +168,48 @@ class ManageTemplates extends ComfyDialog {
}),
]
),
- $el("button", {
- textContent: "Delete",
- style: {
- fontSize: "12px",
- color: "red",
- fontWeight: "normal",
- },
- onclick: (e) => {
- nameInput.value = "";
- e.target.style.display = "none";
- e.target.previousElementSibling.style.display = "none";
- },
- }),
+ $el(
+ "div",
+ {},
+ [
+ $el("button", {
+ textContent: "Export",
+ style: {
+ fontSize: "12px",
+ fontWeight: "normal",
+ },
+ onclick: (e) => {
+ const json = JSON.stringify({templates: [t]}, null, 2); // convert the data to a JSON string
+ const blob = new Blob([json], {type: "application/json"});
+ const url = URL.createObjectURL(blob);
+ const a = $el("a", {
+ href: url,
+ download: (nameInput.value || t.name) + ".json",
+ style: {display: "none"},
+ parent: document.body,
+ });
+ a.click();
+ setTimeout(function () {
+ a.remove();
+ window.URL.revokeObjectURL(url);
+ }, 0);
+ },
+ }),
+ $el("button", {
+ textContent: "Delete",
+ style: {
+ fontSize: "12px",
+ color: "red",
+ fontWeight: "normal",
+ },
+ onclick: (e) => {
+ nameInput.value = "";
+ e.target.parentElement.style.display = "none";
+ e.target.parentElement.previousElementSibling.style.display = "none";
+ },
+ }),
+ ]
+ ),
];
})
)
@@ -164,19 +264,17 @@ app.registerExtension({
},
}));
- if (subItems.length) {
- subItems.push(null, {
- content: "Manage",
- callback: () => manage.show(),
- });
+ subItems.push(null, {
+ content: "Manage",
+ callback: () => manage.show(),
+ });
- options.push({
- content: "Node Templates",
- submenu: {
- options: subItems,
- },
- });
- }
+ options.push({
+ content: "Node Templates",
+ submenu: {
+ options: subItems,
+ },
+ });
return options;
};
diff --git a/web/extensions/core/widgetInputs.js b/web/extensions/core/widgetInputs.js
index 00809906c..c370f4f3c 100644
--- a/web/extensions/core/widgetInputs.js
+++ b/web/extensions/core/widgetInputs.js
@@ -100,6 +100,27 @@ function getWidgetType(config) {
return { type };
}
+
+function isValidCombo(combo, obj) {
+ // New input isnt a combo
+ if (!(obj instanceof Array)) {
+ console.log(`connection rejected: tried to connect combo to ${obj}`);
+ return false;
+ }
+ // New imput combo has a different size
+ if (combo.length !== obj.length) {
+ console.log(`connection rejected: combo lists dont match`);
+ return false;
+ }
+ // New input combo has different elements
+ if (combo.find((v, i) => obj[i] !== v)) {
+ console.log(`connection rejected: combo lists dont match`);
+ return false;
+ }
+
+ return true;
+}
+
app.registerExtension({
name: "Comfy.WidgetInputs",
async beforeRegisterNodeDef(nodeType, nodeData, app) {
@@ -200,6 +221,10 @@ app.registerExtension({
for (const input of this.inputs) {
if (input.widget && !input.widget[GET_CONFIG]) {
input.widget[GET_CONFIG] = () => getConfig.call(this, input.widget.name);
+ const w = this.widgets.find((w) => w.name === input.widget.name);
+ if (w) {
+ hideWidget(this, w);
+ }
}
}
}
@@ -252,6 +277,28 @@ app.registerExtension({
return r;
};
+
+ // Prevent connecting COMBO lists to converted inputs that dont match types
+ const onConnectInput = nodeType.prototype.onConnectInput;
+ nodeType.prototype.onConnectInput = function (targetSlot, type, output, originNode, originSlot) {
+ const v = onConnectInput?.(this, arguments);
+ // Not a combo, ignore
+ if (type !== "COMBO") return v;
+ // Primitive output, allow that to handle
+ if (originNode.outputs[originSlot].widget) return v;
+
+ // Ensure target is also a combo
+ const targetCombo = this.inputs[targetSlot].widget?.[GET_CONFIG]?.()?.[0];
+ if (!targetCombo || !(targetCombo instanceof Array)) return v;
+
+ // Check they match
+ const originConfig = originNode.constructor?.nodeData?.output?.[originSlot];
+ if (!originConfig || !isValidCombo(targetCombo, originConfig)) {
+ return false;
+ }
+
+ return v;
+ };
},
registerCustomNodes() {
class PrimitiveNode {
@@ -311,7 +358,7 @@ app.registerExtension({
onAfterGraphConfigured() {
if (this.outputs[0].links?.length && !this.widgets?.length) {
- this.#onFirstConnection();
+ if (!this.#onFirstConnection()) return;
// Populate widget values from config data
if (this.widgets) {
@@ -382,13 +429,16 @@ app.registerExtension({
widget = input.widget;
}
- const { type } = getWidgetType(widget[GET_CONFIG]());
+ const config = widget[GET_CONFIG]?.();
+ if (!config) return;
+
+ const { type } = getWidgetType(config);
// Update our output to restrict to the widget type
this.outputs[0].type = type;
this.outputs[0].name = type;
this.outputs[0].widget = widget;
- this.#createWidget(widget[CONFIG] ?? widget[GET_CONFIG](), theirNode, widget.name, recreating);
+ this.#createWidget(widget[CONFIG] ?? config, theirNode, widget.name, recreating);
}
#createWidget(inputData, node, widgetName, recreating) {
@@ -413,7 +463,11 @@ app.registerExtension({
}
if (widget.type === "number" || widget.type === "combo") {
- addValueControlWidget(this, widget, "fixed");
+ let control_value = this.widgets_values?.[1];
+ if (!control_value) {
+ control_value = "fixed";
+ }
+ addValueControlWidget(this, widget, control_value);
}
// When our value changes, update other widgets to reflect our changes
@@ -493,21 +547,7 @@ app.registerExtension({
const config2 = input.widget[GET_CONFIG]();
if (config1[0] instanceof Array) {
- // New input isnt a combo
- if (!(config2[0] instanceof Array)) {
- console.log(`connection rejected: tried to connect combo to ${config2[0]}`);
- return false;
- }
- // New imput combo has a different size
- if (config1[0].length !== config2[0].length) {
- console.log(`connection rejected: combo lists dont match`);
- return false;
- }
- // New input combo has different elements
- if (config1[0].find((v, i) => config2[0][i] !== v)) {
- console.log(`connection rejected: combo lists dont match`);
- return false;
- }
+ if (!isValidCombo(config1[0], config2[0])) return false;
} else if (config1[0] !== config2[0]) {
// Types dont match
console.log(`connection rejected: types dont match`, config1[0], config2[0]);
diff --git a/web/lib/litegraph.core.js b/web/lib/litegraph.core.js
index 959bbf343..0cf4881d5 100644
--- a/web/lib/litegraph.core.js
+++ b/web/lib/litegraph.core.js
@@ -3799,7 +3799,7 @@
out = out || new Float32Array(4);
out[0] = this.pos[0] - 4;
out[1] = this.pos[1] - LiteGraph.NODE_TITLE_HEIGHT;
- out[2] = this.size[0] + 4;
+ out[2] = this.flags.collapsed ? (this._collapsed_width || LiteGraph.NODE_COLLAPSED_WIDTH) : this.size[0] + 4;
out[3] = this.flags.collapsed ? LiteGraph.NODE_TITLE_HEIGHT : this.size[1] + LiteGraph.NODE_TITLE_HEIGHT;
if (this.onBounding) {
diff --git a/web/scripts/app.js b/web/scripts/app.js
index eb7c981d0..c1311060f 100644
--- a/web/scripts/app.js
+++ b/web/scripts/app.js
@@ -450,8 +450,49 @@ export class ComfyApp {
}
}
+ function calculateGrid(w, h, n) {
+ let columns, rows, cellsize;
+
+ if (w > h) {
+ cellsize = h;
+ columns = Math.ceil(w / cellsize);
+ rows = Math.ceil(n / columns);
+ } else {
+ cellsize = w;
+ rows = Math.ceil(h / cellsize);
+ columns = Math.ceil(n / rows);
+ }
+
+ while (columns * rows < n) {
+ cellsize++;
+ if (w >= h) {
+ columns = Math.ceil(w / cellsize);
+ rows = Math.ceil(n / columns);
+ } else {
+ rows = Math.ceil(h / cellsize);
+ columns = Math.ceil(n / rows);
+ }
+ }
+
+ const cell_size = Math.min(w/columns, h/rows);
+ return {cell_size, columns, rows};
+ }
+
+ function is_all_same_aspect_ratio(imgs) {
+ // assume: imgs.length >= 2
+ let ratio = imgs[0].naturalWidth/imgs[0].naturalHeight;
+
+ for(let i=1; i best) {
- best = area;
- cellWidth = imageW;
- cellHeight = imageH;
- cols = c;
- shiftX = c * ((cW - imageW) / 2);
+ cellWidth = cell_size;
+ cellHeight = cell_size;
+ shiftX = (dw-cell_size*cols)/2;
+ shiftY = (dh-cell_size*rows)/2 + top;
+ }
+ else {
+ cell_padding = 0;
+ let best = 0;
+ let w = this.imgs[0].naturalWidth;
+ let h = this.imgs[0].naturalHeight;
+
+ // compact style
+ for (let c = 1; c <= numImages; c++) {
+ const rows = Math.ceil(numImages / c);
+ const cW = dw / c;
+ const cH = dh / rows;
+ const scaleX = cW / w;
+ const scaleY = cH / h;
+
+ const scale = Math.min(scaleX, scaleY, 1);
+ const imageW = w * scale;
+ const imageH = h * scale;
+ const area = imageW * imageH * numImages;
+
+ if (area > best) {
+ best = area;
+ cellWidth = imageW;
+ cellHeight = imageH;
+ cols = c;
+ shiftX = c * ((cW - imageW) / 2);
+ }
}
}
@@ -542,7 +599,14 @@ export class ComfyApp {
let imgWidth = ratio * img.width;
let imgX = col * cellWidth + shiftX + (cellWidth - imgWidth)/2;
- ctx.drawImage(img, imgX, imgY, imgWidth, imgHeight);
+ ctx.drawImage(img, imgX+cell_padding, imgY+cell_padding, imgWidth-cell_padding*2, imgHeight-cell_padding*2);
+ if(!compact_mode) {
+ // rectangle cell and border line style
+ ctx.strokeStyle = "#8F8F8F";
+ ctx.lineWidth = 1;
+ ctx.strokeRect(x+cell_padding, y+cell_padding, cellWidth-cell_padding*2, cellHeight-cell_padding*2);
+ }
+
ctx.filter = "none";
}
@@ -552,6 +616,9 @@ export class ComfyApp {
}
} else {
// Draw individual
+ let w = this.imgs[imageIndex].naturalWidth;
+ let h = this.imgs[imageIndex].naturalHeight;
+
const scaleX = dw / w;
const scaleY = dh / h;
const scale = Math.min(scaleX, scaleY, 1);
@@ -594,14 +661,14 @@ export class ComfyApp {
};
if (numImages > 1) {
- if (drawButton(x + w - 35, y + h - 35, 30, `${this.imageIndex + 1}/${numImages}`)) {
+ if (drawButton(dw - 40, dh + top - 40, 30, `${this.imageIndex + 1}/${numImages}`)) {
let i = this.imageIndex + 1 >= numImages ? 0 : this.imageIndex + 1;
if (!this.pointerDown || !this.pointerDown.index === i) {
this.pointerDown = { index: i, pos: [...mouse] };
}
}
- if (drawButton(x + w - 35, y + 5, 30, `x`)) {
+ if (drawButton(dw - 40, top + 10, 30, `x`)) {
if (!this.pointerDown || !this.pointerDown.index === null) {
this.pointerDown = { index: null, pos: [...mouse] };
}
@@ -861,6 +928,16 @@ export class ComfyApp {
block_default = true;
}
+ // Alt + C collapse/uncollapse
+ if (e.key === 'c' && e.altKey) {
+ if (this.selected_nodes) {
+ for (var i in this.selected_nodes) {
+ this.selected_nodes[i].collapse()
+ }
+ }
+ block_default = true;
+ }
+
// Ctrl+C Copy
if ((e.key === 'c') && (e.metaKey || e.ctrlKey)) {
// Trigger onCopy
@@ -1339,6 +1416,43 @@ export class ComfyApp {
}
}
+ loadTemplateData(templateData) {
+ if (!templateData?.templates) {
+ return;
+ }
+
+ const old = localStorage.getItem("litegrapheditor_clipboard");
+
+ var maxY, nodeBottom, node;
+
+ for (const template of templateData.templates) {
+ if (!template?.data) {
+ continue;
+ }
+
+ localStorage.setItem("litegrapheditor_clipboard", template.data);
+ app.canvas.pasteFromClipboard();
+
+ // Move mouse position down to paste the next template below
+
+ maxY = false;
+
+ for (const i in app.canvas.selected_nodes) {
+ node = app.canvas.selected_nodes[i];
+
+ nodeBottom = node.pos[1] + node.size[1];
+
+ if (maxY === false || nodeBottom > maxY) {
+ maxY = nodeBottom;
+ }
+ }
+
+ app.canvas.graph_mouse[1] = maxY + 50;
+ }
+
+ localStorage.setItem("litegrapheditor_clipboard", old);
+ }
+
/**
* Populates the graph with the specified workflow data
* @param {*} graphData A serialized graph object
@@ -1564,7 +1678,7 @@ export class ComfyApp {
all_inputs = all_inputs.concat(Object.keys(parent.inputs))
for (let parent_input in all_inputs) {
parent_input = all_inputs[parent_input];
- if (parent.inputs[parent_input].type === node.inputs[i].type) {
+ if (parent.inputs[parent_input]?.type === node.inputs[i].type) {
link = parent.getInputLink(parent_input);
if (link) {
parent = parent.getInputNode(parent_input);
@@ -1727,7 +1841,12 @@ export class ComfyApp {
} else if (file.type === "application/json" || file.name?.endsWith(".json")) {
const reader = new FileReader();
reader.onload = () => {
- this.loadGraphData(JSON.parse(reader.result));
+ var jsonContent = JSON.parse(reader.result);
+ if (jsonContent?.templates) {
+ this.loadTemplateData(jsonContent);
+ } else {
+ this.loadGraphData(jsonContent);
+ }
};
reader.readAsText(file);
} else if (file.name?.endsWith(".latent") || file.name?.endsWith(".safetensors")) {
diff --git a/web/scripts/ui.js b/web/scripts/ui.js
index 1e7920167..c3b3fbda1 100644
--- a/web/scripts/ui.js
+++ b/web/scripts/ui.js
@@ -809,7 +809,8 @@ export class ComfyUI {
if (
this.lastQueueSize != 0 &&
status.exec_info.queue_remaining == 0 &&
- document.getElementById("autoQueueCheckbox").checked
+ document.getElementById("autoQueueCheckbox").checked &&
+ ! app.lastExecutionError
) {
app.queuePrompt(0, this.batchCount);
}
diff --git a/web/scripts/widgets.js b/web/scripts/widgets.js
index e9c906542..4ef96516b 100644
--- a/web/scripts/widgets.js
+++ b/web/scripts/widgets.js
@@ -84,6 +84,7 @@ export function addValueControlWidget(node, targetWidget, defaultValue = "random
if (targetWidget.value > max)
targetWidget.value = max;
+ targetWidget.callback(targetWidget.value);
}
}
return valueControl;