Update app.py

app.py

@@ -131,12 +131,12 @@ with block:
  with gr.Row(): 
  sd_options = gr.Dropdown(["SD1.4", "SD1.5", "SD2.1"], label="SD options")
 
- if sd_options == 'SD1.5':
- sd = 1.5
- elif sd_options == 'SD2.1':
- sd = 2.1
- else:
- sd = 1.4
+ # if sd_options == 'SD1.5':
+ # sd = 1.5
+ # elif sd_options == 'SD2.1':
+ # sd = 2.1
+ # else:
+ # sd = 1.4
  
  # pip = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
  # pip = pip.to("cuda")
@@ -200,11 +200,11 @@ with block:
  image_2_label = gr.Markdown("FreeU")
  
  
- ex = gr.Examples(examples=examples, fn=infer, inputs=[text, sd, seed, b1, b2, s1, s2], outputs=[image_1, image_2], cache_examples=False)
+ ex = gr.Examples(examples=examples, fn=infer, inputs=[text, sd_options, seed, b1, b2, s1, s2], outputs=[image_1, image_2], cache_examples=False)
  ex.dataset.headers = [""]
 
- text.submit(infer, inputs=[text, sd, seed, b1, b2, s1, s2], outputs=[image_1, image_2])
- btn.click(infer, inputs=[text, sd, seed, b1, b2, s1, s2], outputs=[image_1, image_2])
+ text.submit(infer, inputs=[text, sd_options, seed, b1, b2, s1, s2], outputs=[image_1, image_2])
+ btn.click(infer, inputs=[text, sd_options, seed, b1, b2, s1, s2], outputs=[image_1, image_2])
 
 block.launch()
 # block.queue(default_enabled=False).launch(share=False)