Update app.py

app.py

@@ -104,55 +104,50 @@ with block:
  )
  btn = gr.Button("Generate image", scale=0)
 
- # # sd_options = gr.Dropdown(options, label="SD options")
- # sd_options = gr.Dropdown(options, value='SD1.4', label="SD options")
- # # model_id = "CompVis/stable-diffusion-v1-4"
+ # sd_options = gr.Dropdown(options, label="SD options")
+ sd_options = gr.Dropdown(options, value='SD1.4', label="SD options")
+ # model_id = "CompVis/stable-diffusion-v1-4"
  
- # if sd_options == 'SD1.4':
- # model_id = "CompVis/stable-diffusion-v1-4"
- # elif sd_options == 'SD1.5':
- # model_id = "runwayml/stable-diffusion-v1-5"
- # elif sd_options == 'SD2.1':
- # model_id = "stabilityai/stable-diffusion-2-1"
+ if sd_options == 'SD1.4':
+ model_id = "CompVis/stable-diffusion-v1-4"
+ elif sd_options == 'SD1.5':
+ model_id = "runwayml/stable-diffusion-v1-5"
+ elif sd_options == 'SD2.1':
+ model_id = "stabilityai/stable-diffusion-2-1"
  
- # pip_sd = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
- # pip_sd = pip_sd.to("cuda")
-
- # pip_freeu = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
- # pip_freeu = pip_freeu.to("cuda")
- # # -------- freeu block registration
- # register_free_upblock2d(pipe, b1=1.2, b2=1.4, s1=0.9, s2=0.2)
- # register_free_crossattn_upblock2d(pipe, b1=1.2, b2=1.4, s1=0.9, s2=0.2)
- # # -------- freeu block registration
+ pip_sd = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
+ pip_sd = pip_sd.to("cuda")
+
+ pip_freeu = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
+ pip_freeu = pip_freeu.to("cuda")
+ # -------- freeu block registration
+ register_free_upblock2d(pipe, b1=1.2, b2=1.4, s1=0.9, s2=0.2)
+ register_free_crossattn_upblock2d(pipe, b1=1.2, b2=1.4, s1=0.9, s2=0.2)
+ # -------- freeu block registration
  
- # with gr.Accordion('FreeU Parameters', open=False):
+ with gr.Accordion('FreeU Parameters', open=False):
  
- # b1 = gr.Slider(label='b1: backbone factor of the first stage block of decoder',
- # minimum=1,
- # maximum=1.6,
- # step=0.1,
- # value=1)
- # b2 = gr.Slider(label='b2: backbone factor of the second stage block of decoder',
- # minimum=1,
- # maximum=1.6,
- # step=0.1,
- # value=1)
- # s1 = gr.Slider(label='s1: skip factor of the first stage block of decoder',
- # minimum=0,
- # maximum=1,
- # step=0.1,
- # value=1)
- # s2 = gr.Slider(label='s2: skip factor of the second stage block of decoder',
- # minimum=0,
- # maximum=1,
- # step=0.1,
- # value=1)
- # s3 = gr.Slider(label='s3: skip factor of the second stage block of decoder',
- # minimum=0,
- # maximum=1,
- # step=0.1,
- # value=1)
-
+ b1 = gr.Slider(label='b1: backbone factor of the first stage block of decoder',
+ minimum=1,
+ maximum=1.6,
+ step=0.1,
+ value=1)
+ b2 = gr.Slider(label='b2: backbone factor of the second stage block of decoder',
+ minimum=1,
+ maximum=1.6,
+ step=0.1,
+ value=1)
+ s1 = gr.Slider(label='s1: skip factor of the first stage block of decoder',
+ minimum=0,
+ maximum=1,
+ step=0.1,
+ value=1)
+ s2 = gr.Slider(label='s2: skip factor of the second stage block of decoder',
+ minimum=0,
+ maximum=1,
+ step=0.1,
+ value=1)
+ 
  with gr.Row():
  with gr.Column(min_width=256) as c1:
  image_1 = gr.Image(interactive=False)
@@ -162,11 +157,11 @@ with block:
  image_2_label = gr.Markdown("FreeU")
  
 
- ex = gr.Examples(examples=examples, fn=infer, inputs=[text], outputs=[image_1, image_2], cache_examples=False)
+ ex = gr.Examples(examples=examples, fn=infer, inputs=[text, pip_sd, pip_freeu], outputs=[image_1, image_2], cache_examples=False)
  ex.dataset.headers = [""]
 
  # text.submit(infer, inputs=[text, pip_sd, pip_freeu], outputs=[image_1, image_2])
  # btn.click(infer, inputs=[text, pip_sd, pip_freeu], outputs=[image_1, image_2])
 
-# block.launch()
-block.queue(default_enabled=False).launch(share=False)
+block.launch()
+# block.queue(default_enabled=False).launch(share=False)