CommonCanvas

Runtime error

multimodalart HF Staff commited on Apr 19, 2024

Commit

07d0333

verified ·

1 Parent(s): edba0de

Update app.py

Files changed (1) hide show

app.py CHANGED Viewed

@@ -41,7 +41,7 @@ def run_xlc(prompt, negative_prompt=None, guidance_scale=7.0, pag_scale=3.0, pag
         seed = random.randint(0, 9007199254740991)
     generator = torch.Generator(device="cuda").manual_seed(seed)
-    image = pipe_xlc(prompt, negative_prompt=negative_prompt, guidance_scale=guidance_scale, pag_scale=pag_scale, pag_applied_layers=pag_layers, generator=generator, num_inference_steps=25, width=512, height=512).images[0]
     return image, seed
@@ -51,7 +51,7 @@ def run_xlnc(prompt, negative_prompt=None, guidance_scale=7.0, pag_scale=3.0, pa
         seed = random.randint(0, 9007199254740991)
     generator = torch.Generator(device="cuda").manual_seed(seed)
-    image = pipe_xlnc(prompt, negative_prompt=negative_prompt, guidance_scale=guidance_scale, pag_scale=pag_scale, pag_applied_layers=pag_layers, generator=generator, num_inference_steps=25, width=512, height=512).images[0]
     return image, seed

         seed = random.randint(0, 9007199254740991)
     generator = torch.Generator(device="cuda").manual_seed(seed)
+    image = pipe_xlc(prompt, negative_prompt=negative_prompt, guidance_scale=guidance_scale, pag_scale=pag_scale, pag_applied_layers=pag_layers, generator=generator, num_inference_steps=25).images[0]
     return image, seed
         seed = random.randint(0, 9007199254740991)
     generator = torch.Generator(device="cuda").manual_seed(seed)
+    image = pipe_xlnc(prompt, negative_prompt=negative_prompt, guidance_scale=guidance_scale, pag_scale=pag_scale, pag_applied_layers=pag_layers, generator=generator, num_inference_steps=25).images[0]
     return image, seed