Update app.py

Upgraded to SDXL 1.0

app.py

@@ -2,18 +2,14 @@ import gradio as gr
 import torch
 import modin.pandas as pd
 from diffusers import DiffusionPipeline 
-from huggingface_hub import login
-import os
-
-login(token=os.environ.get('HF_KEY'))
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
 
-pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-0.9", use_safetensors=True)
+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-0.9", use_safetensors=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)
 
@@ -23,4 +19,4 @@ def genie (prompt, negative_prompt, scale, steps, seed):
      image = refiner(prompt=prompt, negative_prompt=negative_prompt, image=int_image).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(1, 15, 10), gr.Slider(25, maximum=50, value=25, step=1), gr.Slider(minimum=1, step=1, maximum=999999999999999999, randomize=True)], outputs='image', title="Stable Diffusion XL 0.9 CPU", description="SDXL 0.9 CPU. <b>WARNING:</b> Extremely Slow. 65s/Iteration. Expect 25-50mins an image for 25-50 iterations respectively.", article = "Code Monkey: <a href=\"https://huggingface.co/Manjushri\">Manjushri</a>").launch(debug=True, max_threads=80)
+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(1, 15, 10), gr.Slider(25, maximum=50, value=25, step=1), gr.Slider(minimum=1, step=1, maximum=999999999999999999, randomize=True)], outputs='image', title="Stable Diffusion XL 1.0 CPU", description="SDXL 1.0 CPU. <b>WARNING:</b> Extremely Slow. 65s/Iteration. Expect 25-50mins an image for 25-50 iterations respectively.", article = "Code Monkey: <a href=\"https://huggingface.co/Manjushri\">Manjushri</a>").launch(debug=True, max_threads=80)