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model.py
CHANGED
@@ -7,7 +7,7 @@ def get_pipeline():
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
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-
print("
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pipe = AutoPipelineForImage2Image.from_pretrained(
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"SimianLuo/LCM_Dreamshaper_v7",
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use_safetensors=True,
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
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+
print("下载文件")
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pipe = AutoPipelineForImage2Image.from_pretrained(
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"SimianLuo/LCM_Dreamshaper_v7",
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use_safetensors=True,
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