Update app_diffusers.py

app_diffusers.py

@@ -27,7 +27,7 @@ pipe = OvisImagePipeline.from_pretrained(
 )
 pipe.to(device)
 
-@spaces.GPU(duration=75)
+# @spaces.GPU(duration=75)
 def generate(prompt, img_height=1024, img_width=1024, seed=42, steps=50, guidance_scale=5.0):
     print(f'inference with prompt : {prompt}, size: {img_height}x{img_width}, seed : {seed}, step : {steps}, cfg : {guidance_scale}')
     generator = torch.Generator().manual_seed(seed)