Futuretop commited on
Commit
c4f5519
·
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1 Parent(s): 1be8ad2

Update app.py

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Files changed (1) hide show
  1. app.py +3 -3
app.py CHANGED
@@ -70,6 +70,8 @@ def _getattr(self, name):
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  return _orig_getattr(self, name)
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  _PrC.__getattribute__ = _getattr
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  # Florence-2 로드
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  device = "cuda" if torch.cuda.is_available() else "cpu"
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  scheduler = EulerDiscreteScheduler.from_pretrained(
@@ -84,7 +86,7 @@ tokenizer = CLIPTokenizer.from_pretrained(
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  model_id, subfolder="tokenizer_1"
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  )
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  feature_extractor = CLIPFeatureExtractor.from_pretrained(
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- model_id, subfolder="feature_extractor"
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  )
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  unet = UNet2DConditionModel.from_pretrained(
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  model_id, subfolder="unet", torch_dtype=torch.float16
@@ -98,8 +100,6 @@ florence_processor = AutoProcessor.from_pretrained(LOCAL_FLORENCE, trust_remote_
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  diffusers.StableDiffusion3Pipeline = StableDiffusionPipeline
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- model_repo = "tensorart/stable-diffusion-3.5-large-TurboX"
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-
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  pipe = StableDiffusionPipeline(
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  text_encoder=text_encoder,
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  tokenizer=tokenizer,
 
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  return _orig_getattr(self, name)
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  _PrC.__getattribute__ = _getattr
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+ model_repo = "tensorart/stable-diffusion-3.5-large-TurboX"
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+
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  # Florence-2 로드
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  device = "cuda" if torch.cuda.is_available() else "cpu"
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  scheduler = EulerDiscreteScheduler.from_pretrained(
 
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  model_id, subfolder="tokenizer_1"
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  )
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  feature_extractor = CLIPFeatureExtractor.from_pretrained(
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+ model_repo, subfolder="feature_extractor"
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  )
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  unet = UNet2DConditionModel.from_pretrained(
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  model_id, subfolder="unet", torch_dtype=torch.float16
 
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  diffusers.StableDiffusion3Pipeline = StableDiffusionPipeline
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  pipe = StableDiffusionPipeline(
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  text_encoder=text_encoder,
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  tokenizer=tokenizer,