mirror of
https://github.com/comfyanonymous/ComfyUI.git
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Known Flux controlnet models
This commit is contained in:
doctorpangloss
parent
4b77c4941c
commit
b1ad9cad37
@ -1,22 +1,25 @@
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from .component_model import files
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from .model_management import load_models_gpu
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from .utils import load_torch_file, transformers_convert, state_dict_prefix_replace
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import torch
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import json
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import logging
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from . import ops
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from . import model_patcher
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from . import model_management
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import torch
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from . import clip_model
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from . import model_management
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from . import model_patcher
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from . import ops
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from .component_model import files
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from .model_management import load_models_gpu
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from .utils import load_torch_file, transformers_convert, state_dict_prefix_replace
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class Output:
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def __getitem__(self, key):
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return getattr(self, key)
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def __setitem__(self, key, item):
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setattr(self, key, item)
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def clip_preprocess(image, size=224, mean=[0.48145466, 0.4578275, 0.40821073], std=[0.26862954, 0.26130258, 0.27577711]):
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mean = torch.tensor(mean, device=image.device, dtype=image.dtype)
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std = torch.tensor(std, device=image.device, dtype=image.dtype)
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@ -24,11 +27,12 @@ def clip_preprocess(image, size=224, mean=[0.48145466, 0.4578275, 0.40821073], s
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if not (image.shape[2] == size and image.shape[3] == size):
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scale = (size / min(image.shape[2], image.shape[3]))
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image = torch.nn.functional.interpolate(image, size=(round(scale * image.shape[2]), round(scale * image.shape[3])), mode="bicubic", antialias=True)
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h = (image.shape[2] - size)//2
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w = (image.shape[3] - size)//2
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image = image[:,:,h:h+size,w:w+size]
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h = (image.shape[2] - size) // 2
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w = (image.shape[3] - size) // 2
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image = image[:, :, h:h + size, w:w + size]
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image = torch.clip((255. * image), 0, 255).round() / 255.0
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return (image - mean.view([3,1,1])) / std.view([3,1,1])
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return (image - mean.view([3, 1, 1])) / std.view([3, 1, 1])
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class ClipVisionModel():
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def __init__(self, json_config: dict | str):
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@ -53,6 +57,7 @@ class ClipVisionModel():
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self.model.eval()
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self.patcher = model_patcher.ModelPatcher(self.model, load_device=self.load_device, offload_device=offload_device)
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def load_sd(self, sd):
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return self.model.load_state_dict(sd, strict=False)
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@ -70,6 +75,7 @@ class ClipVisionModel():
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outputs["penultimate_hidden_states"] = out[1].to(model_management.intermediate_device())
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return outputs
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def convert_to_transformers(sd, prefix):
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sd_k = sd.keys()
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if "{}transformer.resblocks.0.attn.in_proj_weight".format(prefix) in sd_k:
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@ -96,6 +102,7 @@ def convert_to_transformers(sd, prefix):
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sd = state_dict_prefix_replace(sd, replace_prefix)
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return sd
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def load_clipvision_from_sd(sd, prefix="", convert_keys=False):
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if convert_keys:
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sd = convert_to_transformers(sd, prefix)
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@ -105,7 +112,7 @@ def load_clipvision_from_sd(sd, prefix="", convert_keys=False):
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json_config = files.get_path_as_dict(None, "clip_vision_config_h.json")
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elif "vision_model.encoder.layers.22.layer_norm1.weight" in sd:
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if sd["vision_model.encoder.layers.0.layer_norm1.weight"].shape[0] == 1152:
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json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "clip_vision_siglip_384.json")
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json_config = files.get_path_as_dict(None, "clip_vision_siglip_384.json")
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elif sd["vision_model.embeddings.position_embedding.weight"].shape[0] == 577:
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json_config = files.get_path_as_dict(None, "clip_vision_config_vitl_336.json")
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else:
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@ -124,6 +131,7 @@ def load_clipvision_from_sd(sd, prefix="", convert_keys=False):
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sd.pop(k)
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return clip
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def load(ckpt_path):
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sd = load_torch_file(ckpt_path)
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if "visual.transformer.resblocks.0.attn.in_proj_weight" in sd:
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@ -283,7 +283,8 @@ KNOWN_GLIGEN_MODELS: Final[KnownDownloadables] = KnownDownloadables([
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], folder_name="gligen")
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KNOWN_CLIP_VISION_MODELS: Final[KnownDownloadables] = KnownDownloadables([
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HuggingFile("comfyanonymous/clip_vision_g", "clip_vision_g.safetensors")
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HuggingFile("comfyanonymous/clip_vision_g", "clip_vision_g.safetensors"),
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HuggingFile("Comfy-Org/sigclip_vision_384", "sigclip_vision_patch14_384.safetensors"),
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], folder_name="clip_vision")
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KNOWN_LORAS: Final[KnownDownloadables] = KnownDownloadables([
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@ -292,6 +293,8 @@ KNOWN_LORAS: Final[KnownDownloadables] = KnownDownloadables([
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CivitFile(model_id=47085, model_version_id=55199, filename="GoodHands-beta2.safetensors"),
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HuggingFile("ByteDance/Hyper-SD", "Hyper-SDXL-12steps-CFG-lora.safetensors"),
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HuggingFile("ByteDance/Hyper-SD", "Hyper-SD15-12steps-CFG-lora.safetensors"),
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HuggingFile("black-forest-labs/FLUX.1-Canny-dev-lora", "flux1-canny-dev-lora.safetensors"),
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HuggingFile("black-forest-labs/FLUX.1-Depth-dev-lora", "flux1-depth-dev-lora.safetensors"),
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], folder_name="loras")
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KNOWN_CONTROLNETS: Final[KnownDownloadables] = KnownDownloadables([
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@ -434,6 +437,9 @@ KNOWN_UNET_MODELS: Final[KnownDownloadables] = KnownDownloadables([
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HuggingFile("ByteDance/Hyper-SD", "Hyper-SDXL-1step-Unet-Comfyui.fp16.safetensors"),
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HuggingFile("black-forest-labs/FLUX.1-schnell", "flux1-schnell.safetensors"),
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HuggingFile("black-forest-labs/FLUX.1-dev", "flux1-dev.safetensors"),
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HuggingFile("black-forest-labs/FLUX.1-Fill-dev", "flux1-fill-dev.safetensors"),
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HuggingFile("black-forest-labs/FLUX.1-Canny-dev", "flux1-canny-dev.safetensors"),
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HuggingFile("black-forest-labs/FLUX.1-Depth-dev", "flux1-depth-dev.safetensors"),
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HuggingFile("Kijai/flux-fp8", "flux1-dev-fp8.safetensors"),
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HuggingFile("Kijai/flux-fp8", "flux1-schnell-fp8.safetensors"),
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HuggingFile("Comfy-Org/mochi_preview_repackaged", "split_files/diffusion_models/mochi_preview_bf16.safetensors"),
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@ -452,6 +458,10 @@ KNOWN_CLIP_MODELS: Final[KnownDownloadables] = KnownDownloadables([
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HuggingFile("zer0int/CLIP-GmP-ViT-L-14", "ViT-L-14-TEXT-detail-improved-hiT-GmP-TE-only-HF.safetensors"),
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], folder_name="clip")
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KNOWN_STYLE_MODELS: Final[KnownDownloadables] = KnownDownloadables([
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HuggingFile("black-forest-labs/FLUX.1-Redux-dev", "flux1-redux-dev.safetensors"),
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], folder_name="style_models")
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_known_models_db: list[KnownDownloadables] = [
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KNOWN_CHECKPOINTS,
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KNOWN_VAES,
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@ -466,6 +476,7 @@ _known_models_db: list[KnownDownloadables] = [
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KNOWN_IMAGE_ONLY_CHECKPOINTS,
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KNOWN_UNCLIP_CHECKPOINTS,
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KNOWN_UPSCALERS,
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KNOWN_STYLE_MODELS,
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]
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193
tests/inference/workflows/flux-controlnet-1.json
Normal file
193
tests/inference/workflows/flux-controlnet-1.json
Normal file
@ -0,0 +1,193 @@
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{
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"3": {
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"inputs": {
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"seed": 432318046789205,
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"steps": 20,
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"cfg": 1,
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"sampler_name": "euler",
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"scheduler": "normal",
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"denoise": 1,
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"model": [
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"31",
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0
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],
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"positive": [
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"35",
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0
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],
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"negative": [
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"35",
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1
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],
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"latent_image": [
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"35",
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2
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]
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},
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"class_type": "KSampler",
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"_meta": {
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"title": "KSampler"
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}
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},
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"7": {
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"inputs": {
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"text": "",
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"clip": [
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"34",
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0
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]
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},
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"class_type": "CLIPTextEncode",
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"_meta": {
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"title": "CLIP Text Encode (Negative Prompt)"
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}
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},
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"8": {
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"inputs": {
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"samples": [
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"3",
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0
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],
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"vae": [
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"32",
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0
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]
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},
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"class_type": "VAEDecode",
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"_meta": {
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"title": "VAE Decode"
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}
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},
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"9": {
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"inputs": {
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"filename_prefix": "ComfyUI",
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"images": [
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"8",
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0
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]
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},
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"class_type": "SaveImage",
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"_meta": {
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"title": "Save Image"
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}
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},
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"18": {
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"inputs": {
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"low_threshold": 0.15,
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"high_threshold": 0.3,
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"image": [
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"36",
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0
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]
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},
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"class_type": "Canny",
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"_meta": {
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"title": "Canny"
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}
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},
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"19": {
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"inputs": {
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"images": [
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"18",
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0
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]
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},
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"class_type": "PreviewImage",
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"_meta": {
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"title": "Preview Image"
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}
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},
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"23": {
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"inputs": {
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"text": "cute anime girl with massive fluffy fennec ears and a big fluffy tail blonde messy long hair blue eyes wearing a pink sweater and jeans",
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"clip": [
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"34",
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0
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]
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},
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"class_type": "CLIPTextEncode",
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"_meta": {
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"title": "CLIP Text Encode (Positive Prompt)"
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}
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},
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"26": {
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"inputs": {
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"guidance": 30,
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"conditioning": [
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"23",
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0
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]
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},
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"class_type": "FluxGuidance",
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"_meta": {
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"title": "FluxGuidance"
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}
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},
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"31": {
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"inputs": {
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"unet_name": "flux1-canny-dev.safetensors",
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"weight_dtype": "default"
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},
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"class_type": "UNETLoader",
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"_meta": {
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"title": "Load Diffusion Model"
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}
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},
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"32": {
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"inputs": {
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"vae_name": "ae.safetensors"
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},
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"class_type": "VAELoader",
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"_meta": {
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"title": "Load VAE"
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}
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},
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"34": {
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"inputs": {
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"clip_name1": "clip_l.safetensors",
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"clip_name2": "t5xxl_fp16.safetensors",
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"type": "flux"
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},
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"class_type": "DualCLIPLoader",
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"_meta": {
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"title": "DualCLIPLoader"
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}
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},
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"35": {
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"inputs": {
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"positive": [
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"26",
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0
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],
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"negative": [
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"7",
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0
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],
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"vae": [
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"32",
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0
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],
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"pixels": [
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"18",
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0
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]
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},
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"class_type": "InstructPixToPixConditioning",
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"_meta": {
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"title": "InstructPixToPixConditioning"
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}
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},
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"36": {
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"inputs": {
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"value": "https://comfyanonymous.github.io/ComfyUI_examples/flux/flux_fill_inpaint_example.png",
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"name": "",
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"title": "",
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"description": "",
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"__required": true
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},
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"class_type": "ImageRequestParameter",
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"_meta": {
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"title": "ImageRequestParameter"
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}
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}
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}
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201
tests/inference/workflows/flux-inpainting-0.json
Normal file
201
tests/inference/workflows/flux-inpainting-0.json
Normal file
@ -0,0 +1,201 @@
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{
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"3": {
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"inputs": {
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"seed": 164211176398261,
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"steps": 20,
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"cfg": 1,
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"sampler_name": "euler",
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"scheduler": "normal",
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"denoise": 1,
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"model": [
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"39",
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0
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],
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"positive": [
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"38",
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0
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],
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"negative": [
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"38",
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1
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],
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"latent_image": [
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"38",
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2
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]
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},
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"class_type": "KSampler",
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"_meta": {
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"title": "KSampler"
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}
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},
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"7": {
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"inputs": {
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"text": "",
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"clip": [
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"34",
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0
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]
|
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},
|
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"class_type": "CLIPTextEncode",
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"_meta": {
|
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"title": "CLIP Text Encode (Negative Prompt)"
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}
|
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},
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"8": {
|
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"inputs": {
|
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"samples": [
|
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"3",
|
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0
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],
|
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"vae": [
|
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"32",
|
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0
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]
|
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},
|
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"class_type": "VAEDecode",
|
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"_meta": {
|
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"title": "VAE Decode"
|
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}
|
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},
|
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"9": {
|
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"inputs": {
|
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"filename_prefix": "ComfyUI",
|
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"images": [
|
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"8",
|
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0
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]
|
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},
|
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"class_type": "SaveImage",
|
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"_meta": {
|
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"title": "Save Image"
|
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}
|
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},
|
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"23": {
|
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"inputs": {
|
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"text": "beautiful scenery",
|
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"clip": [
|
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"34",
|
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0
|
||||
]
|
||||
},
|
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"class_type": "CLIPTextEncode",
|
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"_meta": {
|
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"title": "CLIP Text Encode (Positive Prompt)"
|
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}
|
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},
|
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"26": {
|
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"inputs": {
|
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"guidance": 30,
|
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"conditioning": [
|
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"23",
|
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0
|
||||
]
|
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},
|
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"class_type": "FluxGuidance",
|
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"_meta": {
|
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"title": "FluxGuidance"
|
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}
|
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},
|
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"31": {
|
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"inputs": {
|
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"unet_name": "flux1-fill-dev.safetensors",
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"weight_dtype": "default"
|
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},
|
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"class_type": "UNETLoader",
|
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"_meta": {
|
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"title": "Load Diffusion Model"
|
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}
|
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},
|
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"32": {
|
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"inputs": {
|
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"vae_name": "ae.safetensors"
|
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},
|
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"class_type": "VAELoader",
|
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"_meta": {
|
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"title": "Load VAE"
|
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}
|
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},
|
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"34": {
|
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"inputs": {
|
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"clip_name1": "clip_l.safetensors",
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"clip_name2": "t5xxl_fp16.safetensors",
|
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"type": "flux"
|
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},
|
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"class_type": "DualCLIPLoader",
|
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"_meta": {
|
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"title": "DualCLIPLoader"
|
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}
|
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},
|
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"38": {
|
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"inputs": {
|
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"noise_mask": false,
|
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"positive": [
|
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"26",
|
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0
|
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],
|
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"negative": [
|
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"7",
|
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0
|
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],
|
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"vae": [
|
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"32",
|
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0
|
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],
|
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"pixels": [
|
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"44",
|
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0
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],
|
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"mask": [
|
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"44",
|
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1
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]
|
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},
|
||||
"class_type": "InpaintModelConditioning",
|
||||
"_meta": {
|
||||
"title": "InpaintModelConditioning"
|
||||
}
|
||||
},
|
||||
"39": {
|
||||
"inputs": {
|
||||
"model": [
|
||||
"31",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "DifferentialDiffusion",
|
||||
"_meta": {
|
||||
"title": "Differential Diffusion"
|
||||
}
|
||||
},
|
||||
"44": {
|
||||
"inputs": {
|
||||
"left": 400,
|
||||
"top": 0,
|
||||
"right": 400,
|
||||
"bottom": 400,
|
||||
"feathering": 24,
|
||||
"image": [
|
||||
"45",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "ImagePadForOutpaint",
|
||||
"_meta": {
|
||||
"title": "Pad Image for Outpainting"
|
||||
}
|
||||
},
|
||||
"45": {
|
||||
"inputs": {
|
||||
"value": "https://comfyanonymous.github.io/ComfyUI_examples/flux/flux_fill_inpaint_example.png",
|
||||
"name": "",
|
||||
"title": "",
|
||||
"description": "",
|
||||
"__required": true
|
||||
},
|
||||
"class_type": "ImageRequestParameter",
|
||||
"_meta": {
|
||||
"title": "ImageRequestParameter"
|
||||
}
|
||||
}
|
||||
}
|
||||
258
tests/inference/workflows/flux-redux-0.json
Normal file
258
tests/inference/workflows/flux-redux-0.json
Normal file
@ -0,0 +1,258 @@
|
||||
{
|
||||
"6": {
|
||||
"inputs": {
|
||||
"text": "cute anime girl with massive fluffy fennec ears",
|
||||
"clip": [
|
||||
"11",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "CLIPTextEncode",
|
||||
"_meta": {
|
||||
"title": "CLIP Text Encode (Positive Prompt)"
|
||||
}
|
||||
},
|
||||
"8": {
|
||||
"inputs": {
|
||||
"samples": [
|
||||
"13",
|
||||
0
|
||||
],
|
||||
"vae": [
|
||||
"10",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "VAEDecode",
|
||||
"_meta": {
|
||||
"title": "VAE Decode"
|
||||
}
|
||||
},
|
||||
"9": {
|
||||
"inputs": {
|
||||
"filename_prefix": "ComfyUI",
|
||||
"images": [
|
||||
"8",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "SaveImage",
|
||||
"_meta": {
|
||||
"title": "Save Image"
|
||||
}
|
||||
},
|
||||
"10": {
|
||||
"inputs": {
|
||||
"vae_name": "ae.safetensors"
|
||||
},
|
||||
"class_type": "VAELoader",
|
||||
"_meta": {
|
||||
"title": "Load VAE"
|
||||
}
|
||||
},
|
||||
"11": {
|
||||
"inputs": {
|
||||
"clip_name1": "t5xxl_fp16.safetensors",
|
||||
"clip_name2": "clip_l.safetensors",
|
||||
"type": "flux"
|
||||
},
|
||||
"class_type": "DualCLIPLoader",
|
||||
"_meta": {
|
||||
"title": "DualCLIPLoader"
|
||||
}
|
||||
},
|
||||
"12": {
|
||||
"inputs": {
|
||||
"unet_name": "flux1-dev.safetensors",
|
||||
"weight_dtype": "default"
|
||||
},
|
||||
"class_type": "UNETLoader",
|
||||
"_meta": {
|
||||
"title": "Load Diffusion Model"
|
||||
}
|
||||
},
|
||||
"13": {
|
||||
"inputs": {
|
||||
"noise": [
|
||||
"25",
|
||||
0
|
||||
],
|
||||
"guider": [
|
||||
"22",
|
||||
0
|
||||
],
|
||||
"sampler": [
|
||||
"16",
|
||||
0
|
||||
],
|
||||
"sigmas": [
|
||||
"17",
|
||||
0
|
||||
],
|
||||
"latent_image": [
|
||||
"27",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "SamplerCustomAdvanced",
|
||||
"_meta": {
|
||||
"title": "SamplerCustomAdvanced"
|
||||
}
|
||||
},
|
||||
"16": {
|
||||
"inputs": {
|
||||
"sampler_name": "euler"
|
||||
},
|
||||
"class_type": "KSamplerSelect",
|
||||
"_meta": {
|
||||
"title": "KSamplerSelect"
|
||||
}
|
||||
},
|
||||
"17": {
|
||||
"inputs": {
|
||||
"scheduler": "simple",
|
||||
"steps": 1,
|
||||
"denoise": 1,
|
||||
"model": [
|
||||
"30",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "BasicScheduler",
|
||||
"_meta": {
|
||||
"title": "BasicScheduler"
|
||||
}
|
||||
},
|
||||
"22": {
|
||||
"inputs": {
|
||||
"model": [
|
||||
"30",
|
||||
0
|
||||
],
|
||||
"conditioning": [
|
||||
"41",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "BasicGuider",
|
||||
"_meta": {
|
||||
"title": "BasicGuider"
|
||||
}
|
||||
},
|
||||
"25": {
|
||||
"inputs": {
|
||||
"noise_seed": 895731728473880
|
||||
},
|
||||
"class_type": "RandomNoise",
|
||||
"_meta": {
|
||||
"title": "RandomNoise"
|
||||
}
|
||||
},
|
||||
"26": {
|
||||
"inputs": {
|
||||
"guidance": 3.5,
|
||||
"conditioning": [
|
||||
"6",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "FluxGuidance",
|
||||
"_meta": {
|
||||
"title": "FluxGuidance"
|
||||
}
|
||||
},
|
||||
"27": {
|
||||
"inputs": {
|
||||
"width": 1024,
|
||||
"height": 1024,
|
||||
"batch_size": 1
|
||||
},
|
||||
"class_type": "EmptySD3LatentImage",
|
||||
"_meta": {
|
||||
"title": "EmptySD3LatentImage"
|
||||
}
|
||||
},
|
||||
"30": {
|
||||
"inputs": {
|
||||
"max_shift": 1.15,
|
||||
"base_shift": 0.5,
|
||||
"width": 1024,
|
||||
"height": 1024,
|
||||
"model": [
|
||||
"12",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "ModelSamplingFlux",
|
||||
"_meta": {
|
||||
"title": "ModelSamplingFlux"
|
||||
}
|
||||
},
|
||||
"38": {
|
||||
"inputs": {
|
||||
"clip_name": "sigclip_vision_patch14_384.safetensors"
|
||||
},
|
||||
"class_type": "CLIPVisionLoader",
|
||||
"_meta": {
|
||||
"title": "Load CLIP Vision"
|
||||
}
|
||||
},
|
||||
"39": {
|
||||
"inputs": {
|
||||
"clip_vision": [
|
||||
"38",
|
||||
0
|
||||
],
|
||||
"image": [
|
||||
"44",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "CLIPVisionEncode",
|
||||
"_meta": {
|
||||
"title": "CLIP Vision Encode"
|
||||
}
|
||||
},
|
||||
"41": {
|
||||
"inputs": {
|
||||
"conditioning": [
|
||||
"26",
|
||||
0
|
||||
],
|
||||
"style_model": [
|
||||
"42",
|
||||
0
|
||||
],
|
||||
"clip_vision_output": [
|
||||
"39",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "StyleModelApply",
|
||||
"_meta": {
|
||||
"title": "Apply Style Model"
|
||||
}
|
||||
},
|
||||
"42": {
|
||||
"inputs": {
|
||||
"style_model_name": "flux1-redux-dev.safetensors"
|
||||
},
|
||||
"class_type": "StyleModelLoader",
|
||||
"_meta": {
|
||||
"title": "Load Style Model"
|
||||
}
|
||||
},
|
||||
"44": {
|
||||
"inputs": {
|
||||
"value": "https://comfyanonymous.github.io/ComfyUI_examples/flux/flux_fill_inpaint_example.png",
|
||||
"name": "",
|
||||
"title": "",
|
||||
"description": "",
|
||||
"__required": true
|
||||
},
|
||||
"class_type": "ImageRequestParameter",
|
||||
"_meta": {
|
||||
"title": "ImageRequestParameter"
|
||||
}
|
||||
}
|
||||
}
|
||||
Loading…
Reference in New Issue
Block a user