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Running
on
Zero
Running
on
Zero
...
Browse files
gradio_app/custom_models/{image2mvimage-objaverseFrot-wonder3d.yaml → image2mvimage.yaml}
RENAMED
File without changes
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gradio_app/custom_models/{image2image-objaverseF-rgb2normal.yaml → image2normal.yaml}
RENAMED
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gradio_app/custom_models/mvimg_prediction.py
CHANGED
@@ -9,7 +9,7 @@ from gradio_app.custom_models.utils import load_pipeline
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from scripts.all_typing import *
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from scripts.utils import session, simple_preprocess
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training_config = "app/custom_models/image2mvimage
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checkpoint_path = "ckpt/img2mvimg/unet_state_dict.pth"
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trainer, pipeline = load_pipeline(training_config, checkpoint_path)
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pipeline.enable_model_cpu_offload()
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from scripts.all_typing import *
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from scripts.utils import session, simple_preprocess
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training_config = "app/custom_models/image2mvimage.yaml"
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checkpoint_path = "ckpt/img2mvimg/unet_state_dict.pth"
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trainer, pipeline = load_pipeline(training_config, checkpoint_path)
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pipeline.enable_model_cpu_offload()
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gradio_app/custom_models/normal_prediction.py
CHANGED
@@ -5,7 +5,7 @@ from gradio_app.custom_models.utils import load_pipeline
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from scripts.utils import rotate_normals_torch
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from scripts.all_typing import *
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training_config = "app/custom_models/
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checkpoint_path = "ckpt/image2normal/unet_state_dict.pth"
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trainer, pipeline = load_pipeline(training_config, checkpoint_path)
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pipeline.enable_model_cpu_offload()
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from scripts.utils import rotate_normals_torch
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from scripts.all_typing import *
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training_config = "app/custom_models/image2normal.yaml"
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checkpoint_path = "ckpt/image2normal/unet_state_dict.pth"
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trainer, pipeline = load_pipeline(training_config, checkpoint_path)
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pipeline.enable_model_cpu_offload()
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