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4add007769
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@ -111,7 +111,7 @@ class CLIP:
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model_management.load_models_gpu([self.patcher], force_full_load=True)
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self.layer_idx = None
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self.use_clip_schedule = False
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logging.info("CLIP model load device: {}, offload device: {}, current: {}, dtype: {}".format(load_device, offload_device, params['device'], dtype))
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logging.info("CLIP/text encoder model load device: {}, offload device: {}, current: {}, dtype: {}".format(load_device, offload_device, params['device'], dtype))
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def clone(self):
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n = CLIP(no_init=True)
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@ -898,7 +898,7 @@ def load_state_dict_guess_config(sd, output_vae=True, output_clip=True, output_c
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if output_model:
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model_patcher = comfy.model_patcher.ModelPatcher(model, load_device=load_device, offload_device=model_management.unet_offload_device())
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if inital_load_device != torch.device("cpu"):
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logging.info("loaded straight to GPU")
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logging.info("loaded diffusion model directly to GPU")
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model_management.load_models_gpu([model_patcher], force_full_load=True)
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return (model_patcher, clip, vae, clipvision)
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2
nodes.py
2
nodes.py
@ -1578,7 +1578,7 @@ class SaveImage:
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return {
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"required": {
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"images": ("IMAGE", {"tooltip": "The images to save."}),
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"filename_prefix": ("STRING", {"default": "ComfyUI", "tooltip": "The prefix for the file to save. This may include formatting information such as %date:yyyy-MM-dd% or %Empty Latent Image.width% to include values from nodes."})
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"filename_prefix": ("STRING", {"default": "%date:yyyy-MM-dd%/%date:hhmmss%", "tooltip": "The prefix for the file to save. This may include formatting information such as %date:yyyy-MM-dd% or %Empty Latent Image.width% to include values from nodes."})
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},
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"hidden": {
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"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"
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@ -4,7 +4,8 @@ lint.ignore = ["ALL"]
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# Enable specific rules
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lint.select = [
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"S307", # suspicious-eval-usage
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"T201", # print-usage
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"S102", # exec
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"T", # print-usage
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"W",
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# The "F" series in Ruff stands for "Pyflakes" rules, which catch various Python syntax errors and undefined names.
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# See all rules here: https://docs.astral.sh/ruff/rules/#pyflakes-f
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