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@ -108,13 +108,16 @@ Available command line arguments:
| FcF | :+1: Better structure and texture generation <br/> :neutral_face: Only support fixed size (512x512) input | |
| SD1.4 | :+1: SOTA text-to-image diffusion model | |
### LaMa vs LDM
<details>
<summary> See model comparison detail</summary>
**LaMa vs LDM**
| Original Image | LaMa | LDM |
| ----------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------ | ----------------------------------------------------------------------------------------------------------------------------------------------------- |
| ![photo-1583445095369-9c651e7e5d34](https://user-images.githubusercontent.com/3998421/156923525-d6afdec3-7b98-403f-ad20-88ebc6eb8d6d.jpg) | ![photo-1583445095369-9c651e7e5d34_cleanup_lama](https://user-images.githubusercontent.com/3998421/156923620-a40cc066-fd4a-4d85-a29f-6458711d1247.png) | ![photo-1583445095369-9c651e7e5d34_cleanup_ldm](https://user-images.githubusercontent.com/3998421/156923652-0d06c8c8-33ad-4a42-a717-9c99f3268933.png) |
### LaMa vs ZITS
**LaMa vs ZITS**
| Original Image | ZITS | LaMa |
| ---------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------- |
@ -122,21 +125,23 @@ Available command line arguments:
Image is from [ZITS](https://github.com/DQiaole/ZITS_inpainting) paper. I didn't find a good example to show the advantages of ZITS and let me know if you have a good example. There can also be possible problems with my code, if you find them, please let me know too!
### LaMa vs FcF
**LaMa vs FcF**
| Original Image | Lama | FcF |
| ----------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------- |
| ![texture](https://user-images.githubusercontent.com/3998421/188305027-a4260545-c24e-4df7-9739-ac5dc3cae879.jpeg) | ![texture_lama](https://user-images.githubusercontent.com/3998421/188305024-2064ed3e-5af4-4843-ac10-7f9da71e15f8.jpeg) | ![texture_fcf](https://user-images.githubusercontent.com/3998421/188305006-a08d2896-a65f-43d5-b9a5-ef62c3129f0c.jpeg) |
</details>
## Inpainting Strategy
Lama Cleaner provides three ways to run inpainting model on images, you can change it in the settings dialog.
| Strategy | Description | VRAM |
| ------------ | ---------------------------------------------------------------------------------------------------------------------------------------------- | -------------------- |
| **Original** | Use the resolution of the original image | :tada: |
| **Resize** | Resize the image to a smaller size before inpainting. Lama Cleaner will make sure that the area of the image outside the mask is not degraded. | :tada: :tada: |
| **Crop** | Crop masking area from the original image to do inpainting | :tada: :tada: :tada: |
| Strategy | Description | VRAM | Speed |
| ------------ | ------------------------------------------------------------------------------------------------------ | ------ | ----------------- |
| **Original** | Use the resolution of the original image | High | :zap: |
| **Resize** | Resize the image to a smaller size before inpainting. The area outside the mask will not loss quality. | Midium | :zap: :zap: |
| **Crop** | Crop masking area from the original image to do inpainting | Low | :zap: :zap: :zap: |
## Download Model Mannually