Update app.py
Browse files
app.py
CHANGED
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@@ -247,7 +247,7 @@ 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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pipe = StableDiffusionXLPipeline.from_pretrained("John6666/wai-nsfw-illustrious-sdxl-
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# pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
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pipe.to("cuda")
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@@ -313,7 +313,7 @@ def infer(
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"height": height,
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"guidance_scale": guidance_scale,
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"num_inference_steps": num_inference_steps,
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"model": "wai-nsfw-illustrious-sdxl-
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"use_resolution_binning": use_resolution_binning,
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"PreUrl": "https://huggingface.co/spaces/Menyu/wainsfw"
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}
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@@ -338,7 +338,7 @@ 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 Wai nsfw illustrious
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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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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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pipe = StableDiffusionXLPipeline.from_pretrained("John6666/wai-nsfw-illustrious-sdxl-v150-sdxl",torch_dtype=torch.float16)
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# pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
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pipe.to("cuda")
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"height": height,
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"guidance_scale": guidance_scale,
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"num_inference_steps": num_inference_steps,
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"model": "wai-nsfw-illustrious-sdxl-v150-sdxl",
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"use_resolution_binning": use_resolution_binning,
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"PreUrl": "https://huggingface.co/spaces/Menyu/wainsfw"
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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 Wai nsfw illustrious v150 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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