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Thafx commited on
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1c02c2f
1 Parent(s): b406fc5

Update app.py

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Files changed (1) hide show
  1. app.py +3 -3
app.py CHANGED
@@ -8,7 +8,7 @@ if torch.cuda.is_available():
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  PYTORCH_CUDA_ALLOC_CONF={'max_split_size_mb': 6000}
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  torch.cuda.max_memory_allocated(device=device)
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  torch.cuda.empty_cache()
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- pipe = DiffusionPipeline.from_pretrained("SG161222/RealVisXL_V1.0", torch_dtype=torch.float16, variant="fp16", use_safetensors=True)
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  pipe.enable_xformers_memory_efficient_attention()
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  pipe = pipe.to(device)
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  pipe.unet = torch.compile(pipe.unet, mode="reduce-overhead", fullgraph=True)
@@ -18,7 +18,7 @@ if torch.cuda.is_available():
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  refiner.enable_sequential_cpu_offload()
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  refiner.unet = torch.compile(refiner.unet, mode="reduce-overhead", fullgraph=True)
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  else:
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- pipe = DiffusionPipeline.from_pretrained("SG161222/RealVisXL_V1.0", use_safetensors=True)
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  pipe = pipe.to(device)
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  pipe.unet = torch.compile(pipe.unet, mode="reduce-overhead", fullgraph=True)
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  refiner = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0", use_safetensors=True)
@@ -42,7 +42,7 @@ gr.Interface(fn=genie, inputs=[gr.Textbox(label='Positive Promt. 77 Token Limit.
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  gr.Textbox(label='Embedded Negative Prompt'),
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  gr.Slider(minimum=.7, maximum=.99, value=.95, step=.01, label='Refiner Denoise Start %')],
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  outputs='image',
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- title=" 📷 Realistic Vision XL V1.0 Demo by SG161222 📷",
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  description="The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases. Currently running on <b>CPU</b>",
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  article="Demo prompt template below to get an example of the models results:<br><br><b>Positive prompt:</b> dark shot, photo of cute 24 y.o blonde woman, perfect eyes, skin moles, short hair, looks at viewer, cinematic shot, hard shadows<br><br><b>Negative prompt:</b> (worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth <br><br> Iteration Steps: 15-40, Denoising strength: 0.25-0.5, CFG scale: 7, Seed: 4271781772<br><br> <b>WARNING:</b> Be patient, as generation is Slow.<br>65s/Iteration. Expected Generation Time is 25-50mins an image for 25-50 iterations respectively. This model is capable of producing mild NSFW images"
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  ).launch(debug=True, max_threads=80)
 
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  PYTORCH_CUDA_ALLOC_CONF={'max_split_size_mb': 6000}
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  torch.cuda.max_memory_allocated(device=device)
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  torch.cuda.empty_cache()
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+ pipe = DiffusionPipeline.from_pretrained("SG161222/RealVisXL_V2.0", torch_dtype=torch.float16, variant="fp16", use_safetensors=True)
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  pipe.enable_xformers_memory_efficient_attention()
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  pipe = pipe.to(device)
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  pipe.unet = torch.compile(pipe.unet, mode="reduce-overhead", fullgraph=True)
 
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  refiner.enable_sequential_cpu_offload()
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  refiner.unet = torch.compile(refiner.unet, mode="reduce-overhead", fullgraph=True)
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  else:
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+ pipe = DiffusionPipeline.from_pretrained("SG161222/RealVisXL_V2.0", use_safetensors=True)
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  pipe = pipe.to(device)
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  pipe.unet = torch.compile(pipe.unet, mode="reduce-overhead", fullgraph=True)
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  refiner = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0", use_safetensors=True)
 
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  gr.Textbox(label='Embedded Negative Prompt'),
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  gr.Slider(minimum=.7, maximum=.99, value=.95, step=.01, label='Refiner Denoise Start %')],
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  outputs='image',
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+ title=" 📷 Realistic Vision XL V2.0 Demo by SG161222 📷",
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  description="The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases. Currently running on <b>CPU</b>",
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  article="Demo prompt template below to get an example of the models results:<br><br><b>Positive prompt:</b> dark shot, photo of cute 24 y.o blonde woman, perfect eyes, skin moles, short hair, looks at viewer, cinematic shot, hard shadows<br><br><b>Negative prompt:</b> (worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth <br><br> Iteration Steps: 15-40, Denoising strength: 0.25-0.5, CFG scale: 7, Seed: 4271781772<br><br> <b>WARNING:</b> Be patient, as generation is Slow.<br>65s/Iteration. Expected Generation Time is 25-50mins an image for 25-50 iterations respectively. This model is capable of producing mild NSFW images"
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  ).launch(debug=True, max_threads=80)