Duplicate from Manjushri/PhotoReal-V2

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

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README.md

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+---
+title: PhotoReal V2
+emoji: 👀
+colorFrom: red
+colorTo: indigo
+sdk: gradio
+sdk_version: 3.35.2
+app_file: app.py
+pinned: false
+license: mit
+duplicated_from: Manjushri/PhotoReal-V2
+---
+
+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 numpy as np
+import modin.pandas as pd
+from PIL import Image
+from diffusers import DiffusionPipeline, StableDiffusionLatentUpscalePipeline
+
+device = "cuda" if torch.cuda.is_available() else "cpu"
+
+pipe = DiffusionPipeline.from_pretrained("dreamlike-art/dreamlike-photoreal-2.0", torch_dtype=torch.float16, safety_checker=None)
+pipe = pipe.to(device)
+pipe.enable_xformers_memory_efficient_attention()
+upscaler = StableDiffusionLatentUpscalePipeline.from_pretrained("stabilityai/sd-x2-latent-upscaler", torch_dtype=torch.float16, safety_checker=None)
+upscaler = upscaler.to(device)
+upscaler.enable_xformers_memory_efficient_attention()
+
+
+def genie (Prompt, negative_prompt, height, width, scale, steps, seed, upscale):
+    generator = torch.Generator(device=device).manual_seed(seed)
+    if upscale == "Yes":
+        low_res_latents = pipe(Prompt, negative_prompt=negative_prompt, height=height, width=width, num_inference_steps=steps, guidance_scale=scale, generator=generator, output_type="latent").images
+        image = upscaler(Prompt, negative_prompt=negative_prompt, image=low_res_latents, num_inference_steps=5, guidance_scale=0, generator=generator).images[0]
+    else:
+        image = pipe(Prompt, negative_prompt=negative_prompt, height=height, width=width, num_inference_steps=steps, guidance_scale=scale, generator=generator).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. 77 Token Limit'),
+                               gr.Slider(512, 1024, 768, step=128, label='Height'),
+                               gr.Slider(512, 1024, 768, step=128, label='Width'),
+                               gr.Slider(1, maximum=15, value=10, step=.25), 
+                               gr.Slider(25, maximum=100, value=50, step=25), 
+                               gr.Slider(minimum=1, step=1, maximum=9999999999999999, randomize=True), 
+                               gr.Radio(["Yes", "No"], label='Upscale?', value='No'),
+                              ],
+             outputs=gr.Image(label='Generated Image'), 
+             title="PhotoReal V2 with SD x2 Upscaler - GPU", 
+             description="<br><br><b/>Warning: This Demo is capable of producing NSFW content.", 
+             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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+torchvision
+diffusers
+transformers
+accelerate
+ftfy
+modin[all]
+gradio
+xformers