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1. [ZITS](https://github.com/DQiaole/ZITS_inpainting)
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1. [MAT](https://github.com/fenglinglwb/MAT)
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1. [FcF](https://github.com/SHI-Labs/FcF-Inpainting)
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1. [SD1.4](https://github.com/CompVis/stable-diffusion)
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1. [SD1.5](https://github.com/runwayml/stable-diffusion)
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- Support CPU & GPU
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- Various inpainting [strategy](#inpainting-strategy)
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- Run as a desktop APP
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@ -87,7 +87,7 @@ Available command line arguments:
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| Name | Description | Default |
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| -------------------- | ----------------------------------------------------------------------------------------------------------------------------- | -------- |
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| --model | lama/ldm/zits/mat/fcf/sd1.4 See details in [Inpaint Model](#inpainting-model) | lama |
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| --model | lama/ldm/zits/mat/fcf/sd1.5 See details in [Inpaint Model](#inpainting-model) | lama |
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| --hf_access_token | stable-diffusion(sd) model need [huggingface access token](https://huggingface.co/docs/hub/security-tokens) to download model | |
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| --sd-run-local | Once the model as downloaded, you can pass this arg and remove `--hf_access_token` | |
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| --sd-disable-nsfw | Disable stable-diffusion NSFW checker. | |
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@ -109,7 +109,7 @@ Available command line arguments:
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| ZITS | :+1: Better holistic structures compared with previous methods <br/> :neutral_face: Wireframe module is **very** slow on CPU | `Wireframe`: Enable edge and line detect |
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| MAT | TODO | |
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| FcF | :+1: Better structure and texture generation <br/> :neutral_face: Only support fixed size (512x512) input | |
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| SD1.4 | :+1: SOTA text-to-image diffusion model | |
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| SD1.5 | :+1: SOTA text-to-image diffusion model | |
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<details>
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<summary> See model comparison detail</summary>
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@ -184,7 +184,7 @@ so you don't have to download the model every time you start the container.
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The cache directories for different models correspond as follows:
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- lama/ldm/zits/mat/fcf: /root/.cache/torch
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- sd1.4: /root/.cache/huggingface
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- sd1.5: /root/.cache/huggingface
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### Run Docker (cpu)
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