mirror of
https://github.com/comfyanonymous/ComfyUI.git
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Merge c9e2893cbb into 31dd6c0531
This commit is contained in:
WAS
GitHub
commit
96f009b667
142
nodes.py
142
nodes.py
@ -40,7 +40,7 @@ class CLIPTextEncode:
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RETURN_TYPES = ("CONDITIONING",)
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FUNCTION = "encode"
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CATEGORY = "conditioning"
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CATEGORY = "Conditioning"
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def encode(self, clip, text):
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return ([[clip.encode(text), {}]], )
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@ -52,7 +52,7 @@ class ConditioningCombine:
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RETURN_TYPES = ("CONDITIONING",)
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FUNCTION = "combine"
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CATEGORY = "conditioning"
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CATEGORY = "Conditioning"
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def combine(self, conditioning_1, conditioning_2):
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return (conditioning_1 + conditioning_2, )
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@ -70,7 +70,7 @@ class ConditioningSetArea:
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RETURN_TYPES = ("CONDITIONING",)
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FUNCTION = "append"
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CATEGORY = "conditioning"
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CATEGORY = "Conditioning"
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def append(self, conditioning, width, height, x, y, strength, min_sigma=0.0, max_sigma=99.0):
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c = []
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@ -93,7 +93,7 @@ class VAEDecode:
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RETURN_TYPES = ("IMAGE",)
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FUNCTION = "decode"
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CATEGORY = "latent"
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CATEGORY = "Latent"
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def decode(self, vae, samples):
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return (vae.decode(samples["samples"]), )
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@ -123,7 +123,7 @@ class VAEEncode:
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RETURN_TYPES = ("LATENT",)
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FUNCTION = "encode"
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CATEGORY = "latent"
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CATEGORY = "Latent"
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def encode(self, vae, pixels):
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x = (pixels.shape[1] // 64) * 64
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@ -165,7 +165,7 @@ class VAEEncodeForInpaint:
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RETURN_TYPES = ("LATENT",)
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FUNCTION = "encode"
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CATEGORY = "latent/inpaint"
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CATEGORY = "Latent/Inpaint"
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def encode(self, vae, pixels, mask):
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x = (pixels.shape[1] // 64) * 64
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@ -197,7 +197,7 @@ class CheckpointLoader:
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RETURN_TYPES = ("MODEL", "CLIP", "VAE")
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FUNCTION = "load_checkpoint"
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CATEGORY = "loaders"
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CATEGORY = "Loaders"
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def load_checkpoint(self, config_name, ckpt_name, output_vae=True, output_clip=True):
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config_path = folder_paths.get_full_path("configs", config_name)
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@ -212,7 +212,7 @@ class CheckpointLoaderSimple:
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RETURN_TYPES = ("MODEL", "CLIP", "VAE")
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FUNCTION = "load_checkpoint"
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CATEGORY = "loaders"
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CATEGORY = "Loaders"
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def load_checkpoint(self, ckpt_name, output_vae=True, output_clip=True):
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ckpt_path = folder_paths.get_full_path("checkpoints", ckpt_name)
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@ -228,7 +228,7 @@ class CLIPSetLastLayer:
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RETURN_TYPES = ("CLIP",)
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FUNCTION = "set_last_layer"
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CATEGORY = "conditioning"
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CATEGORY = "Conditioning"
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def set_last_layer(self, clip, stop_at_clip_layer):
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clip = clip.clone()
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@ -247,7 +247,7 @@ class LoraLoader:
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RETURN_TYPES = ("MODEL", "CLIP")
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FUNCTION = "load_lora"
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CATEGORY = "loaders"
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CATEGORY = "Loaders"
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def load_lora(self, model, clip, lora_name, strength_model, strength_clip):
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lora_path = folder_paths.get_full_path("loras", lora_name)
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@ -261,7 +261,7 @@ class VAELoader:
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RETURN_TYPES = ("VAE",)
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FUNCTION = "load_vae"
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CATEGORY = "loaders"
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CATEGORY = "Loaders"
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#TODO: scale factor?
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def load_vae(self, vae_name):
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@ -277,7 +277,7 @@ class ControlNetLoader:
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RETURN_TYPES = ("CONTROL_NET",)
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FUNCTION = "load_controlnet"
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CATEGORY = "loaders"
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CATEGORY = "Loaders"
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def load_controlnet(self, control_net_name):
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controlnet_path = folder_paths.get_full_path("controlnet", control_net_name)
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@ -293,7 +293,7 @@ class DiffControlNetLoader:
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RETURN_TYPES = ("CONTROL_NET",)
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FUNCTION = "load_controlnet"
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CATEGORY = "loaders"
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CATEGORY = "Loaders"
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def load_controlnet(self, model, control_net_name):
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controlnet_path = folder_paths.get_full_path("controlnet", control_net_name)
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@ -312,7 +312,7 @@ class ControlNetApply:
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RETURN_TYPES = ("CONDITIONING",)
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FUNCTION = "apply_controlnet"
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CATEGORY = "conditioning"
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CATEGORY = "Conditioning"
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def apply_controlnet(self, conditioning, control_net, image, strength):
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c = []
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@ -335,7 +335,7 @@ class CLIPLoader:
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RETURN_TYPES = ("CLIP",)
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FUNCTION = "load_clip"
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CATEGORY = "loaders"
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CATEGORY = "Loaders"
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def load_clip(self, clip_name):
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clip_path = folder_paths.get_full_path("clip", clip_name)
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@ -350,7 +350,7 @@ class CLIPVisionLoader:
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RETURN_TYPES = ("CLIP_VISION",)
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FUNCTION = "load_clip"
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CATEGORY = "loaders"
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CATEGORY = "Loaders"
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def load_clip(self, clip_name):
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clip_path = folder_paths.get_full_path("clip_vision", clip_name)
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@ -366,7 +366,7 @@ class CLIPVisionEncode:
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RETURN_TYPES = ("CLIP_VISION_OUTPUT",)
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FUNCTION = "encode"
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CATEGORY = "conditioning/style_model"
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CATEGORY = "Conditioning/Style Model"
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def encode(self, clip_vision, image):
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output = clip_vision.encode_image(image)
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@ -380,7 +380,7 @@ class StyleModelLoader:
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RETURN_TYPES = ("STYLE_MODEL",)
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FUNCTION = "load_style_model"
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CATEGORY = "loaders"
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CATEGORY = "Loaders"
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def load_style_model(self, style_model_name):
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style_model_path = folder_paths.get_full_path("style_models", style_model_name)
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@ -398,7 +398,7 @@ class StyleModelApply:
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RETURN_TYPES = ("CONDITIONING",)
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FUNCTION = "apply_stylemodel"
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CATEGORY = "conditioning/style_model"
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CATEGORY = "Conditioning/Style Model"
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def apply_stylemodel(self, clip_vision_output, style_model, conditioning):
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cond = style_model.get_cond(clip_vision_output)
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@ -420,7 +420,7 @@ class EmptyLatentImage:
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RETURN_TYPES = ("LATENT",)
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FUNCTION = "generate"
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CATEGORY = "latent"
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CATEGORY = "Latent"
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def generate(self, width, height, batch_size=1):
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latent = torch.zeros([batch_size, 4, height // 8, width // 8])
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@ -441,7 +441,7 @@ class LatentUpscale:
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RETURN_TYPES = ("LATENT",)
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FUNCTION = "upscale"
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CATEGORY = "latent"
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CATEGORY = "Latent"
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def upscale(self, samples, upscale_method, width, height, crop):
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s = samples.copy()
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@ -457,7 +457,7 @@ class LatentRotate:
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RETURN_TYPES = ("LATENT",)
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FUNCTION = "rotate"
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CATEGORY = "latent/transform"
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CATEGORY = "Latent/Transform"
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def rotate(self, samples, rotation):
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s = samples.copy()
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@ -481,7 +481,7 @@ class LatentFlip:
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RETURN_TYPES = ("LATENT",)
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FUNCTION = "flip"
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CATEGORY = "latent/transform"
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CATEGORY = "Latent/Transform"
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def flip(self, samples, flip_method):
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s = samples.copy()
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@ -504,7 +504,7 @@ class LatentComposite:
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RETURN_TYPES = ("LATENT",)
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FUNCTION = "composite"
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CATEGORY = "latent"
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CATEGORY = "Latent"
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def composite(self, samples_to, samples_from, x, y, composite_method="normal", feather=0):
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x = x // 8
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@ -546,7 +546,7 @@ class LatentCrop:
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RETURN_TYPES = ("LATENT",)
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FUNCTION = "crop"
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CATEGORY = "latent/transform"
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CATEGORY = "Latent/Transform"
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def crop(self, samples, width, height, x, y):
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s = samples.copy()
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@ -586,7 +586,7 @@ class SetLatentNoiseMask:
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RETURN_TYPES = ("LATENT",)
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FUNCTION = "set_mask"
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CATEGORY = "latent/inpaint"
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CATEGORY = "Latent/Inpaint"
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def set_mask(self, samples, mask):
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s = samples.copy()
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@ -679,7 +679,7 @@ class KSampler:
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RETURN_TYPES = ("LATENT",)
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FUNCTION = "sample"
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CATEGORY = "sampling"
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CATEGORY = "Sampling"
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def sample(self, model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=1.0):
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return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
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@ -706,7 +706,7 @@ class KSamplerAdvanced:
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RETURN_TYPES = ("LATENT",)
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FUNCTION = "sample"
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CATEGORY = "sampling"
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CATEGORY = "Sampling"
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def sample(self, model, add_noise, noise_seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, start_at_step, end_at_step, return_with_leftover_noise, denoise=1.0):
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force_full_denoise = True
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@ -735,7 +735,7 @@ class SaveImage:
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OUTPUT_NODE = True
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CATEGORY = "image"
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CATEGORY = "Image"
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def save_images(self, images, filename_prefix="ComfyUI", prompt=None, extra_pnginfo=None):
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def map_filename(filename):
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@ -818,7 +818,7 @@ class LoadImage:
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{"image": (sorted(os.listdir(s.input_dir)), )},
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}
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CATEGORY = "image"
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CATEGORY = "Image"
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RETURN_TYPES = ("IMAGE", "MASK")
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FUNCTION = "load_image"
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@ -852,7 +852,7 @@ class LoadImageMask:
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"channel": (["alpha", "red", "green", "blue"], ),}
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}
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CATEGORY = "image"
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CATEGORY = "Image"
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RETURN_TYPES = ("MASK",)
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FUNCTION = "load_image"
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@ -891,7 +891,7 @@ class ImageScale:
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RETURN_TYPES = ("IMAGE",)
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FUNCTION = "upscale"
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CATEGORY = "image/upscaling"
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CATEGORY = "Image/Upscaling"
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def upscale(self, image, upscale_method, width, height, crop):
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samples = image.movedim(-1,1)
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@ -908,7 +908,7 @@ class ImageInvert:
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RETURN_TYPES = ("IMAGE",)
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FUNCTION = "invert"
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CATEGORY = "image"
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CATEGORY = "Image"
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def invert(self, image):
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s = 1.0 - image
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@ -933,7 +933,7 @@ class ImagePadForOutpaint:
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RETURN_TYPES = ("IMAGE", "MASK")
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FUNCTION = "expand_image"
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CATEGORY = "image"
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CATEGORY = "Image"
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def expand_image(self, image, left, top, right, bottom, feathering):
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d1, d2, d3, d4 = image.size()
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@ -979,43 +979,43 @@ class ImagePadForOutpaint:
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NODE_CLASS_MAPPINGS = {
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"CLIP Loader": CLIPLoader,
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"CLIP Set Last Layer": CLIPSetLastLayer,
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"CLIP Text Encode": CLIPTextEncode,
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"CLIP Vision Encode": CLIPVisionEncode,
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"CLIP Vision Loader": CLIPVisionLoader,
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"Checkpoint Loader": CheckpointLoader,
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"Checkpoint Loader (Simple)": CheckpointLoaderSimple,
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"Conditioning Combine": ConditioningCombine,
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"Conditioning Set Area": ConditioningSetArea,
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"ControlNet Apply": ControlNetApply,
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"ControlNet Loader": ControlNetLoader,
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"Diff ControlNet Loader": DiffControlNetLoader,
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"Empty Latent Image": EmptyLatentImage,
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"Image Invert": ImageInvert,
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"Image Padding (Outpaint)": ImagePadForOutpaint,
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"Image Scale": ImageScale,
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"KSampler": KSampler,
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"CheckpointLoader": CheckpointLoader,
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"CheckpointLoaderSimple": CheckpointLoaderSimple,
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"CLIPTextEncode": CLIPTextEncode,
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"CLIPSetLastLayer": CLIPSetLastLayer,
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"VAEDecode": VAEDecode,
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"VAEEncode": VAEEncode,
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"VAEEncodeForInpaint": VAEEncodeForInpaint,
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"VAELoader": VAELoader,
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"EmptyLatentImage": EmptyLatentImage,
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"LatentUpscale": LatentUpscale,
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"SaveImage": SaveImage,
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"PreviewImage": PreviewImage,
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"LoadImage": LoadImage,
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"LoadImageMask": LoadImageMask,
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"ImageScale": ImageScale,
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"ImageInvert": ImageInvert,
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"ImagePadForOutpaint": ImagePadForOutpaint,
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"ConditioningCombine": ConditioningCombine,
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"ConditioningSetArea": ConditioningSetArea,
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"KSamplerAdvanced": KSamplerAdvanced,
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"SetLatentNoiseMask": SetLatentNoiseMask,
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"LatentComposite": LatentComposite,
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"LatentRotate": LatentRotate,
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"LatentFlip": LatentFlip,
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"LatentCrop": LatentCrop,
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"LoraLoader": LoraLoader,
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"CLIPLoader": CLIPLoader,
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"CLIPVisionEncode": CLIPVisionEncode,
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"StyleModelApply": StyleModelApply,
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"ControlNetApply": ControlNetApply,
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"ControlNetLoader": ControlNetLoader,
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"DiffControlNetLoader": DiffControlNetLoader,
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"StyleModelLoader": StyleModelLoader,
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"CLIPVisionLoader": CLIPVisionLoader,
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"VAEDecodeTiled": VAEDecodeTiled,
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"VAEEncodeTiled": VAEEncodeTiled,
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"KSampler (Advanced)": KSamplerAdvanced,
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"Latent Composite": LatentComposite,
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"Latent Crop": LatentCrop,
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"Latent Flip": LatentFlip,
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"Latent Rotate": LatentRotate,
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"Latent Upscale": LatentUpscale,
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"Load Image": LoadImage,
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"Load Image Mask": LoadImageMask,
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"Lora Loader": LoraLoader,
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"Preview Image": PreviewImage,
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"Save Image": SaveImage,
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"Mask Latent Noise": SetLatentNoiseMask,
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"Style Model Apply": StyleModelApply,
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"Style Model Loader": StyleModelLoader,
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"VAE Decode": VAEDecode,
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"VAE Decode (Tiled)": VAEDecodeTiled,
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"VAE Encode": VAEEncode,
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"VAE Encode (Inpaint)": VAEEncodeForInpaint,
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"VAE Encode (Tiled)": VAEEncodeTiled,
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"VAE Loader": VAELoader,
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}
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def load_custom_node(module_path):
|
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@ -1052,4 +1052,4 @@ def load_custom_nodes():
|
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load_custom_nodes()
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load_custom_node(os.path.join(os.path.join(os.path.dirname(os.path.realpath(__file__)), "comfy_extras"), "nodes_upscale_model.py"))
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load_custom_node(os.path.join(os.path.join(os.path.dirname(os.path.realpath(__file__)), "comfy_extras"), "nodes_upscale_model.py"))
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@ -189,6 +189,6 @@ app.registerExtension({
|
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})
|
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);
|
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|
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RerouteNode.category = "utils";
|
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RerouteNode.category = "Utilities";
|
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},
|
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});
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@ -357,6 +357,6 @@ app.registerExtension({
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title: "Primitive",
|
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})
|
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);
|
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PrimitiveNode.category = "utils";
|
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PrimitiveNode.category = "Utilities";
|
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},
|
||||
});
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@ -313,7 +313,7 @@ export class ComfyUI {
|
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this.menuContainer = $el("div.comfy-menu", { parent: document.body }, [
|
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$el("div", { style: { overflow: "hidden", position: "relative", width: "100%" } }, [
|
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$el("span.drag-handle"),
|
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$el("span", { $: (q) => (this.queueSize = q) }),
|
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$el("span", { className: "comfy-queue-size", $: (q) => (this.queueSize = q) }),
|
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$el("button.comfy-settings-btn", { textContent: "⚙️", onclick: () => this.settings.show() }),
|
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]),
|
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$el("button.comfy-queue-btn", { textContent: "Queue Prompt", onclick: () => app.queuePrompt(0, this.batchCount) }),
|
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@ -347,10 +347,11 @@ export class ComfyUI {
|
||||
]),
|
||||
]),
|
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$el("div.comfy-menu-btns", [
|
||||
$el("button", { textContent: "Queue Front", onclick: () => app.queuePrompt(-1, this.batchCount) }),
|
||||
$el("button", { textContent: "Queue Front", className: "comfy-queue-front-btn", onclick: () => app.queuePrompt(-1, this.batchCount) }),
|
||||
$el("button", {
|
||||
$: (b) => (this.queue.button = b),
|
||||
textContent: "View Queue",
|
||||
className: "comfy-view-queue-btn",
|
||||
onclick: () => {
|
||||
this.history.hide();
|
||||
this.queue.toggle();
|
||||
@ -359,6 +360,7 @@ export class ComfyUI {
|
||||
$el("button", {
|
||||
$: (b) => (this.history.button = b),
|
||||
textContent: "View History",
|
||||
className: "comfy-history-btn",
|
||||
onclick: () => {
|
||||
this.queue.hide();
|
||||
this.history.toggle();
|
||||
@ -369,6 +371,7 @@ export class ComfyUI {
|
||||
this.history.element,
|
||||
$el("button", {
|
||||
textContent: "Save",
|
||||
className: "comfy-save-btn",
|
||||
onclick: () => {
|
||||
const json = JSON.stringify(app.graph.serialize(), null, 2); // convert the data to a JSON string
|
||||
const blob = new Blob([json], { type: "application/json" });
|
||||
@ -386,10 +389,10 @@ export class ComfyUI {
|
||||
}, 0);
|
||||
},
|
||||
}),
|
||||
$el("button", { textContent: "Load", onclick: () => fileInput.click() }),
|
||||
$el("button", { textContent: "Refresh", onclick: () => app.refreshComboInNodes() }),
|
||||
$el("button", { textContent: "Clear", onclick: () => app.graph.clear() }),
|
||||
$el("button", { textContent: "Load Default", onclick: () => app.loadGraphData() }),
|
||||
$el("button", { textContent: "Load", className: "comfy-load-btn", onclick: () => fileInput.click() }),
|
||||
$el("button", { textContent: "Clear", className: "comfy-clear-btn", onclick: () => app.graph.clear() }),
|
||||
$el("button", { textContent: "Refresh", className: "comfy-refresh-btn" onclick: () => app.refreshComboInNodes() }),
|
||||
$el("button", { textContent: "Load Default", className: "comfy-load-default-btn", onclick: () => app.loadGraphData() }),
|
||||
]);
|
||||
|
||||
dragElement(this.menuContainer);
|
||||
|
||||
@ -88,23 +88,48 @@ body {
|
||||
}
|
||||
|
||||
.comfy-menu {
|
||||
width: 200px;
|
||||
width: 250px !important;
|
||||
font-size: 15px;
|
||||
position: absolute;
|
||||
top: 50%;
|
||||
right: 0%;
|
||||
background-color: white;
|
||||
color: #000;
|
||||
background: rgba(68,68,68,0.75);
|
||||
background: linear-gradient(0deg, rgba(68,68,68,0.75) 0%, rgba(102,102,102,0.75) 74%, rgba(119,119,119,0.75) 100%);
|
||||
backdrop-filter: blur(30px);
|
||||
color: #CACACA;
|
||||
text-align: center;
|
||||
text-shadow: 1px 0 1px rgba(0,0,0,0.25);
|
||||
font-family: Helvetica;
|
||||
z-index: 100;
|
||||
width: 170px;
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
align-items: center;
|
||||
box-shadow: 0px 0px 30px rgba(0,0,0,0.5);
|
||||
}
|
||||
|
||||
.comfy-queue-size {
|
||||
font-size: 18px;
|
||||
margin-top:5px;
|
||||
}
|
||||
|
||||
.comfy-menu button {
|
||||
font-size: 20px;
|
||||
cursor: pointer;
|
||||
display: inline !important;
|
||||
font-size: 18px;
|
||||
text-shadow: 1px 0 1px rgba(0,0,0,0.25);
|
||||
font-family: Helvetica;
|
||||
border-radius: 0;
|
||||
background-color: #8899aa;
|
||||
border-left: 0;
|
||||
border-right: 0;
|
||||
border-top: 1px solid rgba(255,255,255,0.5);
|
||||
border-bottom: 1px solid rgba(127,127,127,0.5);
|
||||
color: #FFF;
|
||||
transition: background-color .1s ease-in-out
|
||||
}
|
||||
|
||||
.comfy-menu button:hover {
|
||||
background-color: #6686a5;
|
||||
}
|
||||
|
||||
.comfy-menu-btns {
|
||||
@ -114,7 +139,6 @@ body {
|
||||
|
||||
.comfy-menu-btns button {
|
||||
font-size: 10px;
|
||||
width: 50%;
|
||||
}
|
||||
|
||||
.comfy-menu span.drag-handle {
|
||||
@ -130,9 +154,9 @@ body {
|
||||
margin-left: -.2em;
|
||||
font-size: 12px;
|
||||
font-family: sans-serif;
|
||||
text-shadow: 1px 1px 1px rgba(0,0,0,0.25);
|
||||
letter-spacing: 2px;
|
||||
color: #cccccc;
|
||||
text-shadow: 1px 0 1px black;
|
||||
position: absolute;
|
||||
top: 0;
|
||||
left: 0;
|
||||
@ -143,18 +167,57 @@ body {
|
||||
}
|
||||
|
||||
.comfy-queue-btn {
|
||||
font-size: 20px !important;
|
||||
font-weight: 600;
|
||||
width: 100%;
|
||||
background-color: #69b768 !important
|
||||
}
|
||||
|
||||
.comfy-queue-btn:hover {
|
||||
background-color: #42b240 !important;
|
||||
}
|
||||
|
||||
.comfy-queue-front-btn {
|
||||
width: 50%;
|
||||
border-right: 1px solid rgba(0,0,0,0.25) !important;
|
||||
}
|
||||
|
||||
.comfy-view-queue-btn {
|
||||
width: 50%;
|
||||
border-left: 1px solid rgba(255,255,255,0.25) !important;
|
||||
}
|
||||
|
||||
.comfy-history-btn {
|
||||
width: 100% !important;
|
||||
}
|
||||
|
||||
.comfy-save-btn {
|
||||
width: 50%;
|
||||
border-right: 1px solid rgba(0,0,0,0.25) !important;
|
||||
}
|
||||
.comfy-load-btn {
|
||||
width: 50%;
|
||||
border-left: 1px solid rgba(255,255,255,0.25) !important;
|
||||
}
|
||||
|
||||
.comfy-clear-btn {
|
||||
width: 50%;
|
||||
border-right: 1px solid rgba(0,0,0,0.25) !important;
|
||||
}
|
||||
.comfy-load-default-btn {
|
||||
width: 50%;
|
||||
border-left: 1px solid rgba(255,255,255,0.25) !important;
|
||||
}
|
||||
|
||||
.comfy-list {
|
||||
background-color: rgb(225, 225, 225);
|
||||
background-color: rgba(0,0,0,0.25);
|
||||
margin-bottom: 10px;
|
||||
}
|
||||
|
||||
.comfy-list-items {
|
||||
overflow-y: scroll;
|
||||
overflow-y: auto;
|
||||
max-height: 100px;
|
||||
background-color: #d0d0d0;
|
||||
background-color: rgba(0,0,0,0.25);
|
||||
padding: 5px;
|
||||
}
|
||||
|
||||
@ -186,6 +249,8 @@ button.comfy-settings-btn {
|
||||
position: absolute;
|
||||
right: 0;
|
||||
border: none;
|
||||
background: none;
|
||||
line-height: 22px;
|
||||
}
|
||||
|
||||
.comfy-modal.comfy-settings {
|
||||
|
||||
Loading…
Reference in New Issue
Block a user