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32 lines
1.4 KiB
32 lines
1.4 KiB
from transformers import CLIPVisionModel, CLIPVisionConfig, CLIPImageProcessor |
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from comfy.sd import load_torch_file |
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import os |
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class ClipVisionModel(): |
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def __init__(self): |
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json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "clip_vision_config.json") |
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config = CLIPVisionConfig.from_json_file(json_config) |
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self.model = CLIPVisionModel(config) |
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self.processor = CLIPImageProcessor(crop_size=224, |
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do_center_crop=True, |
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do_convert_rgb=True, |
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do_normalize=True, |
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do_resize=True, |
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image_mean=[ 0.48145466,0.4578275,0.40821073], |
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image_std=[0.26862954,0.26130258,0.27577711], |
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resample=3, #bicubic |
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size=224) |
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def load_sd(self, sd): |
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self.model.load_state_dict(sd, strict=False) |
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def encode_image(self, image): |
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inputs = self.processor(images=[image[0]], return_tensors="pt") |
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outputs = self.model(**inputs) |
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return outputs |
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def load(ckpt_path): |
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clip_data = load_torch_file(ckpt_path) |
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clip = ClipVisionModel() |
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clip.load_sd(clip_data) |
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return clip
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