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Update app.py
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app.py
CHANGED
@@ -9,44 +9,26 @@ from huggingface_hub import hf_hub_download
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device = 'cuda' if torch.cuda.is_available() else 'cpu'
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torch.cuda.max_memory_allocated(device=device)
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torch.cuda.empty_cache()
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torch.cuda.empty_cache()
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SD3 = StableDiffusion3Pipeline.from_pretrained("stabilityai/stable-diffusion-3-medium-diffusers", torch_dtype=torch.float16).to(device)
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torch.cuda.empty_cache()
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image=SD3(
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prompt=Prompt,
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height=height,
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width=width,
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negative_prompt=negative_prompt,
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guidance_scale=scale,
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num_images_per_prompt=1,
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num_inference_steps=steps).images[0]
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if Model == "FXL":
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torch.cuda.empty_cache()
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#torch.cuda.max_memory_allocated(device=device)
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pipe = DiffusionPipeline.from_pretrained("circulus/canvers-fusionXL-v1", torch_dtype=torch.float16)
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pipe.enable_xformers_memory_efficient_attention()
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pipe = pipe.to(device)
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torch.cuda.empty_cache()
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torch.cuda.empty_cache()
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image = pipe(Prompt, negative_prompt=negative_prompt, image=int_image, denoising_start=.99).images[0]
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torch.cuda.empty_cache()
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return image
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gr.Interface(fn=genie, inputs=[gr.
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gr.Textbox(label='What you want the AI to generate. 77 Token Limit.'),
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gr.Textbox(label='What you Do Not want the AI to generate. 77 Token Limit'),
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gr.Slider(512, 1536, 1024, step=128, label='Height'),
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gr.Slider(512, 1536, 1024, step=128, label='Width'),
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@@ -54,6 +36,6 @@ gr.Interface(fn=genie, inputs=[gr.Radio(["SD3", "FXL"], value='SD3', label='Choo
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gr.Slider(10, maximum=50, value=25, step=5, label='Number of Prior Iterations'),
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gr.Slider(minimum=0, step=1, maximum=9999999999999999, randomize=True, label='Seed: 0 is Random')],
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outputs=gr.Image(label='Generated Image'),
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title="Manju Dream Booth V2.
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description="<br><br><b/>Warning: This Demo is capable of producing NSFW content.",
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article = "If You Enjoyed this Demo and would like to Donate, you can send any amount to any of these Wallets. <br><br>SHIB (BEP20): 0xbE8f2f3B71DFEB84E5F7E3aae1909d60658aB891 <br>PayPal: https://www.paypal.me/ManjushriBodhisattva <br>ETH: 0xbE8f2f3B71DFEB84E5F7E3aae1909d60658aB891 <br>DOGE: D9QdVPtcU1EFH8jDC8jhU9uBcSTqUiA8h6<br><br>Code Monkey: <a href=\"https://huggingface.co/Manjushri\">Manjushri</a>").launch(debug=True)
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device = 'cuda' if torch.cuda.is_available() else 'cpu'
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torch.cuda.max_memory_allocated(device=device)
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torch.cuda.empty_cache()
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#torch.cuda.max_memory_allocated(device=device)
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pipe = DiffusionPipeline.from_pretrained("circulus/canvers-fusionXL-v1", torch_dtype=torch.float16).to(device)
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pipe.enable_xformers_memory_efficient_attention()
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torch.cuda.empty_cache()
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#torch.cuda.max_memory_allocated(device=device)
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refiner = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0", use_safetensors=True, torch_dtype=torch.float16, variant="fp16").to(device)
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refiner.enable_xformers_memory_efficient_attention()
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torch.cuda.empty_cache()
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def genie (Prompt, negative_prompt, height, width, scale, steps, seed):
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generator = np.random.seed(0) if seed == 0 else torch.manual_seed(seed)
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int_image = pipe(Prompt, negative_prompt=negative_prompt, height=height, width=width, num_inference_steps=steps, guidance_scale=scale, output_type="latent").images
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image = refiner(Prompt, negative_prompt=negative_prompt, image=int_image, denoising_start=.99).images[0]
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torch.cuda.empty_cache()
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return image
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gr.Interface(fn=genie, inputs=[gr.Textbox(label='What you want the AI to generate. 77 Token Limit.'),
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gr.Textbox(label='What you Do Not want the AI to generate. 77 Token Limit'),
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gr.Slider(512, 1536, 1024, step=128, label='Height'),
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gr.Slider(512, 1536, 1024, step=128, label='Width'),
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gr.Slider(10, maximum=50, value=25, step=5, label='Number of Prior Iterations'),
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gr.Slider(minimum=0, step=1, maximum=9999999999999999, randomize=True, label='Seed: 0 is Random')],
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outputs=gr.Image(label='Generated Image'),
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title="Manju Dream Booth V2.5 with Fusion XL - GPU",
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description="<br><br><b/>Warning: This Demo is capable of producing NSFW content.",
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article = "If You Enjoyed this Demo and would like to Donate, you can send any amount to any of these Wallets. <br><br>SHIB (BEP20): 0xbE8f2f3B71DFEB84E5F7E3aae1909d60658aB891 <br>PayPal: https://www.paypal.me/ManjushriBodhisattva <br>ETH: 0xbE8f2f3B71DFEB84E5F7E3aae1909d60658aB891 <br>DOGE: D9QdVPtcU1EFH8jDC8jhU9uBcSTqUiA8h6<br><br>Code Monkey: <a href=\"https://huggingface.co/Manjushri\">Manjushri</a>").launch(debug=True)
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