init

app.py

@@ -8,19 +8,20 @@ from PIL import Image
 from pipeline_freescale import StableDiffusionXLPipeline
 from free_lunch_utils import register_free_upblock2d, register_free_crossattn_upblock2d
 
-
-def infer_gpu_part(pipe, generator, prompt, negative_prompt, ddim_steps, guidance_scale, resolutions_list, fast_mode, cosine_scale, disable_freeu):
+@spaces.GPU(duration=120)
+def infer_gpu_part(pipe, prompt, negative_prompt, ddim_steps, guidance_scale, resolutions_list, fast_mode, cosine_scale, disable_freeu):
+    pipe = pipe.to("cuda") 
+    generator = torch.Generator(device='cuda')
+    generator = generator.manual_seed(seed)
     if not disable_freeu:
         register_free_upblock2d(pipe, b1=1.1, b2=1.2, s1=0.6, s2=0.4)
         register_free_crossattn_upblock2d(pipe, b1=1.1, b2=1.2, s1=0.6, s2=0.4)
-    generator = generator.to("cuda")
     resul = pipe(prompt, negative_prompt=negative_prompt, generator=generator,
                 num_inference_steps=ddim_steps, guidance_scale=guidance_scale,
                 resolutions_list=resolutions_list, fast_mode=fast_mode, cosine_scale=cosine_scale,
                 )
     return result
 
-@spaces.GPU(duration=120)
 def infer(prompt, output_size, ddim_steps, guidance_scale, cosine_scale, seed, options, negative_prompt):
 
     disable_freeu = 'Disable FreeU' in options
@@ -43,12 +44,10 @@ def infer(prompt, output_size, ddim_steps, guidance_scale, cosine_scale, seed, o
 
     model_ckpt = "stabilityai/stable-diffusion-xl-base-1.0"
     pipe = StableDiffusionXLPipeline.from_pretrained(model_ckpt, torch_dtype=torch.float16)
-    pipe = pipe.to("cuda")
-    
-    generator = torch.Generator()
-    generator = generator.manual_seed(seed)
 
-    result = infer_gpu_part(pipe, generator, prompt, negative_prompt, ddim_steps, guidance_scale, resolutions_list, fast_mode, cosine_scale, disable_freeu)
+    print('GPU starts')
+    result = infer_gpu_part(pipe, prompt, negative_prompt, ddim_steps, guidance_scale, resolutions_list, fast_mode, cosine_scale, disable_freeu)
+    print('GPU ends')
 
     image = result.images[0]
     save_path = 'output.png'