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doc: options auto update
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github-actions-jg committed Sep 18, 2024
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1 change: 1 addition & 0 deletions docs/options.md
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Expand Up @@ -105,6 +105,7 @@ Here are all the available options to call with `train.py`
| --alg_diffusion_ref_embed_net | string | clip | embedding network to use for ref conditioning<br/><br/> **Values:** clip, imagebind |
| --alg_diffusion_super_resolution_scale | float | 2.0 | scale for super resolution |
| --alg_diffusion_task | string | inpainting | Whether to perform inpainting, super resolution or pix2pix<br/><br/> **Values:** inpainting, super_resolution, pix2pix |
| --alg_diffusion_vid_canny_dropout | int | 0 | prob to drop canny for each frame |

### GAN model

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2 changes: 1 addition & 1 deletion docs/source/_static/openapi.json

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2 changes: 2 additions & 0 deletions docs/source/options.rst
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Expand Up @@ -197,6 +197,8 @@ Algorithm-specific
+------------------------------------------------------+-----------------+-----------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| --alg_diffusion_task | string | inpainting | Whether to perform inpainting, super resolution or pix2pix **Values:** inpainting, super_resolution, pix2pix |
+------------------------------------------------------+-----------------+-----------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| --alg_diffusion_vid_canny_dropout | int | 0 | prob to drop canny for each frame |
+------------------------------------------------------+-----------------+-----------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

GAN model
~~~~~~~~~
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