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Unique3D

Running on Zero

Wuvin commited on May 31

Commit

0977aa6

•

1 Parent(s): 8d1277c

bug fix

Files changed (2) hide show

gradio_app/custom_models/mvimg_prediction.py CHANGED Viewed

@@ -14,7 +14,7 @@ checkpoint_path = "ckpt/img2mvimg/unet_state_dict.pth"
 def predict(img_list: List[Image.Image], guidance_scale=2., **kwargs):
     trainer, pipeline = load_pipeline(training_config, checkpoint_path)
-    # pipeline.enable_model_cpu_offload()
     if isinstance(img_list, Image.Image):
         img_list = [img_list]

 def predict(img_list: List[Image.Image], guidance_scale=2., **kwargs):
     trainer, pipeline = load_pipeline(training_config, checkpoint_path)
+    pipeline.enable_model_cpu_offload()
     if isinstance(img_list, Image.Image):
         img_list = [img_list]

gradio_app/custom_models/normal_prediction.py CHANGED Viewed

@@ -10,7 +10,7 @@ checkpoint_path = "ckpt/image2normal/unet_state_dict.pth"
 def predict_normals(image: List[Image.Image], guidance_scale=2., do_rotate=True, num_inference_steps=30, **kwargs):
     trainer, pipeline = load_pipeline(training_config, checkpoint_path)
-    # pipeline.enable_model_cpu_offload()
     img_list = image if isinstance(image, list) else [image]
     img_list = [rgba_to_rgb(i) if i.mode == 'RGBA' else i for i in img_list]

 def predict_normals(image: List[Image.Image], guidance_scale=2., do_rotate=True, num_inference_steps=30, **kwargs):
     trainer, pipeline = load_pipeline(training_config, checkpoint_path)
+    pipeline.enable_model_cpu_offload()
     img_list = image if isinstance(image, list) else [image]
     img_list = [rgba_to_rgb(i) if i.mode == 'RGBA' else i for i in img_list]