Update app.py

app.py

@@ -13,10 +13,20 @@ import torch
 from free_lunch_utils import register_free_upblock2d, register_free_crossattn_upblock2d
 
 
-def infer(prompt, pip_sd, pip_freeu):
- 
+model_id = "CompVis/stable-diffusion-v1-4"
+ 
+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(pip_freeu, b1=1.2, b2=1.4, s1=0.9, s2=0.2)
+register_free_crossattn_upblock2d(pip_freeu, b1=1.2, b2=1.4, s1=0.9, s2=0.2)
+# -------- freeu block registration
 
+def infer(prompt):
+ 
  print("Generating SD:")
  sd_image = pip_sd(prompt).images[0] 
 
@@ -105,26 +115,25 @@ 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, 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(pip_freeu, b1=1.2, b2=1.4, s1=0.9, s2=0.2)
- register_free_crossattn_upblock2d(pip_freeu, 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(pip_freeu, b1=1.2, b2=1.4, s1=0.9, s2=0.2)
+ # register_free_crossattn_upblock2d(pip_freeu, b1=1.2, b2=1.4, s1=0.9, s2=0.2)
+ # # -------- freeu block registration
  
  with gr.Accordion('FreeU Parameters', open=False):
  
@@ -158,11 +167,11 @@ with block:
  image_2_label = gr.Markdown("FreeU")
  
 
- ex = gr.Examples(examples=examples, fn=infer, inputs=[text, pip_sd, pip_freeu], outputs=[image_1, image_2], cache_examples=False)
+ ex = gr.Examples(examples=examples, fn=infer, inputs=[text], 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])
+ text.submit(infer, inputs=[text], outputs=[image_1, image_2])
+ btn.click(infer, inputs=[text], outputs=[image_1, image_2])
 
 block.launch()
 # block.queue(default_enabled=False).launch(share=False)