Update app.py
Browse files
app.py
CHANGED
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@@ -246,7 +246,7 @@ MAX_SEED = np.iinfo(np.int32).max
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MAX_IMAGE_SIZE = 2048
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if torch.cuda.is_available():
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-
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#token = os.environ.get("HF_TOKEN") # 从环境变量读取令牌
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model_path = hf_hub_download(
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repo_id="Menyu/ModelFile", # 模型仓库名称(非完整URL)
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@@ -255,7 +255,7 @@ if torch.cuda.is_available():
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)
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pipe = StableDiffusionXLPipeline.from_single_file(
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model_path,
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-
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use_safetensors=True,
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torch_dtype=torch.bfloat16,
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)
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@@ -348,7 +348,7 @@ h1{text-align:center}
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with gr.Blocks(css=css) as demo:
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gr.Markdown("""# 梦羽的模型生成器
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### 快速生成
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with gr.Group():
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with gr.Row():
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prompt = gr.Text(
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MAX_IMAGE_SIZE = 2048
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if torch.cuda.is_available():
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vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
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#token = os.environ.get("HF_TOKEN") # 从环境变量读取令牌
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model_path = hf_hub_download(
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repo_id="Menyu/ModelFile", # 模型仓库名称(非完整URL)
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)
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pipe = StableDiffusionXLPipeline.from_single_file(
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model_path,
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vae=vae,
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use_safetensors=True,
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torch_dtype=torch.bfloat16,
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)
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with gr.Blocks(css=css) as demo:
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gr.Markdown("""# 梦羽的模型生成器
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### 快速生成NaixlMmmmix v50模型的图片""")
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with gr.Group():
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with gr.Row():
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prompt = gr.Text(
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