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56 lines
2.3 KiB
Python
56 lines
2.3 KiB
Python
import folder_paths
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import comfy.sd
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import comfy.model_management
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class QuadrupleCLIPLoader:
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@classmethod
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def INPUT_TYPES(s):
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return {"required": { "clip_name1": (folder_paths.get_filename_list("text_encoders"), ),
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"clip_name2": (folder_paths.get_filename_list("text_encoders"), ),
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"clip_name3": (folder_paths.get_filename_list("text_encoders"), ),
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"clip_name4": (folder_paths.get_filename_list("text_encoders"), )
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}}
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RETURN_TYPES = ("CLIP",)
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FUNCTION = "load_clip"
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CATEGORY = "advanced/loaders"
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DESCRIPTION = "[Recipes]\n\nhidream: long clip-l, long clip-g, t5xxl, llama_8b_3.1_instruct"
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def load_clip(self, clip_name1, clip_name2, clip_name3, clip_name4):
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clip_path1 = folder_paths.get_full_path_or_raise("text_encoders", clip_name1)
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clip_path2 = folder_paths.get_full_path_or_raise("text_encoders", clip_name2)
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clip_path3 = folder_paths.get_full_path_or_raise("text_encoders", clip_name3)
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clip_path4 = folder_paths.get_full_path_or_raise("text_encoders", clip_name4)
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clip = comfy.sd.load_clip(ckpt_paths=[clip_path1, clip_path2, clip_path3, clip_path4], embedding_directory=folder_paths.get_folder_paths("embeddings"))
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return (clip,)
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class CLIPTextEncodeHiDream:
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@classmethod
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def INPUT_TYPES(s):
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return {"required": {
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"clip": ("CLIP", ),
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"clip_l": ("STRING", {"multiline": True, "dynamicPrompts": True}),
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"clip_g": ("STRING", {"multiline": True, "dynamicPrompts": True}),
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"t5xxl": ("STRING", {"multiline": True, "dynamicPrompts": True}),
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"llama": ("STRING", {"multiline": True, "dynamicPrompts": True})
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}}
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RETURN_TYPES = ("CONDITIONING",)
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FUNCTION = "encode"
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CATEGORY = "advanced/conditioning"
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def encode(self, clip, clip_l, clip_g, t5xxl, llama):
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tokens = clip.tokenize(clip_g)
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tokens["l"] = clip.tokenize(clip_l)["l"]
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tokens["t5xxl"] = clip.tokenize(t5xxl)["t5xxl"]
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tokens["llama"] = clip.tokenize(llama)["llama"]
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return (clip.encode_from_tokens_scheduled(tokens), )
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NODE_CLASS_MAPPINGS = {
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"QuadrupleCLIPLoader": QuadrupleCLIPLoader,
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"CLIPTextEncodeHiDream": CLIPTextEncodeHiDream,
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}
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