Duplicate from Manjushri/SDXL-1.0-CPU

Co-authored-by: Manjushri Bodhisattva <[email protected]>

.gitattributes

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README.md

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+---
+title: SDXL 1.0 CPU
+emoji: 🐢
+colorFrom: green
+colorTo: indigo
+sdk: gradio
+sdk_version: 3.35.2
+app_file: app.py
+pinned: false
+license: mit
+duplicated_from: Manjushri/SDXL-1.0-CPU
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+import torch
+import modin.pandas as pd
+from diffusers import DiffusionPipeline 
+
+device = "cuda" if torch.cuda.is_available() else "cpu"
+if torch.cuda.is_available():
+    PYTORCH_CUDA_ALLOC_CONF={'max_split_size_mb': 6000}
+    torch.cuda.max_memory_allocated(device=device)
+    torch.cuda.empty_cache()
+    pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16, variant="fp16", use_safetensors=True)
+    pipe.enable_xformers_memory_efficient_attention()
+    pipe = pipe.to(device)
+    pipe.unet = torch.compile(pipe.unet, mode="reduce-overhead", fullgraph=True)
+    torch.cuda.empty_cache()
+    refiner = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0", use_safetensors=True, torch_dtype=torch.float16, variant="fp16")
+    refiner.enable_xformers_memory_efficient_attention()
+    refiner.enable_sequential_cpu_offload()
+    refiner.unet = torch.compile(refiner.unet, mode="reduce-overhead", fullgraph=True)
+else: 
+    pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", use_safetensors=True)
+    pipe = pipe.to(device)
+    pipe.unet = torch.compile(pipe.unet, mode="reduce-overhead", fullgraph=True)
+    refiner = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0", use_safetensors=True)
+    refiner = refiner.to(device)
+    refiner.unet = torch.compile(refiner.unet, mode="reduce-overhead", fullgraph=True)
+
+def genie (prompt, negative_prompt, height, width, scale, steps, seed, prompt_2, negative_prompt_2, high_noise_frac):
+    generator = np.random.seed(0) if seed == 0 else torch.manual_seed(seed)
+    int_image = pipe(prompt, prompt_2=prompt_2, negative_prompt_2=negative_prompt_2, negative_prompt=negative_prompt, height=height, width=width, num_inference_steps=steps, guidance_scale=scale, num_images_per_prompt=1, generator=generator, output_type="latent").images 
+    image = refiner(prompt=prompt, prompt_2=prompt_2, negative_prompt=negative_prompt, negative_prompt_2=negative_prompt_2, image=int_image, denoising_start=high_noise_frac).images[0]   
+    return image
+    
+gr.Interface(fn=genie, inputs=[gr.Textbox(label='What you want the AI to generate. 77 Token Limit.'), 
+    gr.Textbox(label='What you Do Not want the AI to generate.'), 
+    gr.Slider(512, 1024, 768, step=128, label='Height'),
+    gr.Slider(512, 1024, 768, step=128, label='Width'),
+    gr.Slider(1, 15, 10, label='Guidance Scale'), 
+    gr.Slider(25, maximum=50, value=25, step=1, label='Number of Iterations'), 
+    gr.Slider(minimum=1, step=1, maximum=999999999999999999, randomize=True),
+    gr.Textbox(label='Embedded Prompt'),
+    gr.Textbox(label='Embedded Negative Prompt'),
+    gr.Slider(minimum=.7, maximum=.99, value=.95, step=.01, label='Refiner Denoise Start %')],
+    outputs='image', 
+    title="Stable Diffusion XL 1.0 CPU or GPU", 
+    description="SDXL 1.0 CPU or GPU. Currently running on CPU. <br><br><b>WARNING:</b> Extremely Slow. 65s/Iteration. Expect 25-50mins an image for 25-50 iterations respectively. This model is capable of producing NSFW (Softcore) images.", 
+    article = "If You Enjoyed this Demo and would like to Donate, you can send to any of these Wallets. <br>BTC: bc1qzdm9j73mj8ucwwtsjx4x4ylyfvr6kp7svzjn84 <br>3LWRoKYx6bCLnUrKEdnPo3FCSPQUSFDjFP <br>DOGE: DK6LRc4gfefdCTRk9xPD239N31jh9GjKez <br>SHIB (BEP20): 0xbE8f2f3B71DFEB84E5F7E3aae1909d60658aB891 <br>PayPal: https://www.paypal.me/ManjushriBodhisattva <br>ETH: 0xbE8f2f3B71DFEB84E5F7E3aae1909d60658aB891 <br>Code Monkey: <a href=\"https://huggingface.co/Manjushri\">Manjushri</a>").launch(debug=True, max_threads=80)

requirements.txt

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+torch
+diffusers
+transformers
+accelerate
+ftfy
+xformers
+modin[all]
+invisible_watermark