Update app.py

app.py

@@ -12,8 +12,8 @@ pipe = pipe.to(device)
 def upscale(low_res_img, prompt):
  low_res_img = Image.open(low_res_img).convert("RGB")
  low_res_img = low_res_img.resize((128, 128))
- upscaled_image = pipe(prompt=prompt, image=low_res_img, guidance_scale=1, num_inference_steps=50).images[0]
- upscaled_image.save("upsampled.png")
+ upscaled_image = pipe(prompt=prompt, image=low_res_img, guidance_scale=20, num_inference_steps=100).images[0]
+ #upscaled_image.save("upsampled.png")
  return upscaled_image
 #launch interface
-gr.Interface(fn=upscale, inputs=[gr.Image(type='filepath', label='Low Resolution Image (less than 512x512, i.e. 128x128, 256x256, ect., ect..)'), gr.Textbox(label='Optional: Enter a Prompt to Slightly Guide the AI')], outputs=gr.Image(type='filepath'), title='SD 2.0 4x Upscaler', description='A 4x Low Resolution Upscaler using SD 2.0. Currently it takes about 15mins an image. <br>Expects a Lower than 512x512 image. <br><br><b>Warning: Images 512x512 or Higher Resolution WILL NOT BE UPSCALED and may result in Quality Loss!', article = "Code Monkey: <a href=\"https://huggingface.co/Manjushri\">Manjushri</a>").launch(max_threads=True)
+gr.Interface(fn=upscale, inputs=[gr.Image(type='filepath', label='Low Resolution Image (less than 512x512, i.e. 128x128, 256x256, ect., ect..)'), gr.Textbox(label='Optional: Enter a Prompt to Slightly Guide the AI')], outputs=gr.Image(type='filepath'), title='SD 2.0 4x Upscaler', description='A 4x Low Resolution Upscaler using SD 2.0. Currently it takes about 15mins an image. <br>Expects a Lower than 512x512 image. <br><br><b>Warning: Images 512x512 or Higher Resolution WILL NOT BE UPSCALED and may result Quality Loss!', article = "Code Monkey: <a href=\"https://huggingface.co/Manjushri\">Manjushri</a>").launch(max_threads=True, debug=True)