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fc465b39b7
@ -151,7 +151,7 @@ Lama Cleaner provides three ways to run inpainting model on images, you can chan
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| **Resize** | Resize the image to a smaller size before inpainting. The area outside the mask will not loss quality. | Midium | :zap: :zap: |
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| **Resize** | Resize the image to a smaller size before inpainting. The area outside the mask will not loss quality. | Midium | :zap: :zap: |
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| **Crop** | Crop masking area from the original image to do inpainting | Low | :zap: :zap: :zap: |
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| **Crop** | Crop masking area from the original image to do inpainting | Low | :zap: :zap: :zap: |
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## Download Model Mannually
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## Download Model Manually
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If you have problems downloading the model automatically when lama-cleaner start,
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If you have problems downloading the model automatically when lama-cleaner start,
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you can download it manually. By default lama-cleaner will load model from `TORCH_HOME=~/.cache/torch/hub/checkpoints/`,
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you can download it manually. By default lama-cleaner will load model from `TORCH_HOME=~/.cache/torch/hub/checkpoints/`,
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@ -197,7 +197,7 @@ The cache directories for different models correspond as follows:
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docker run -p 8080:8080 \
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docker run -p 8080:8080 \
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-v /path/to/torch_cache:/root/.cache/torch \
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-v /path/to/torch_cache:/root/.cache/torch \
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-v /path/to/huggingface_cache:/root/.cache/huggingface \
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-v /path/to/huggingface_cache:/root/.cache/huggingface \
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--rm lama-cleaner:cpu-0.24.4 \
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--rm cwq1913/lama-cleaner:cpu-0.24.4 \
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lama-cleaner --device=cpu --port=8080 --host=0.0.0.0
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lama-cleaner --device=cpu --port=8080 --host=0.0.0.0
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```
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```
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@ -211,7 +211,7 @@ lama-cleaner --device=cpu --port=8080 --host=0.0.0.0
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docker run --gpus all -p 8080:8080 \
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docker run --gpus all -p 8080:8080 \
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-v /path/to/torch_cache:/root/.cache/torch \
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-v /path/to/torch_cache:/root/.cache/torch \
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-v /path/to/huggingface_cache:/root/.cache/huggingface \
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-v /path/to/huggingface_cache:/root/.cache/huggingface \
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--rm lama-cleaner:gpu-0.24.4 \
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--rm cwq1913/lama-cleaner:gpu-0.24.4 \
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lama-cleaner --device=cuda --port=8080 --host=0.0.0.0
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lama-cleaner --device=cuda --port=8080 --host=0.0.0.0
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```
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```
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