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# APW Models
Archive of all models orchestrated by [AP Workflows for ComfyUI](https://perilli.com/ai/comfyui/).
Wherever possible, the enforced naming convention is:
*[name of the model] [version] [[precision]] [[author]] [for which base model, if applicable] . safetensors*
For example: *Realism 1.0 [fp16] for F1D [XLabs].safetensors*
## Licenses
This achive contains models contributed by different authors and research teams. Please refer to each model's individual license specific terms and conditions. The maintainers of this repository do not claim rights over any model unless explicitly stated.
Users are responsible for complying with the terms of the license attached to each model. Redistribution or commercial use may be restricted depending on the license.
## How to use this archive
1. Read the documentation of the AP Workflow you are installing: [APW](https://perilli.com/ai/comfyui-ap-workflow/), [AP Plot](https://perilli.com/ai/comfyui-ap-plot/), or [AP Trainer](https://perilli.com/ai/comfyui-ap-trainer/).
2. Replicate the exact folder structure used in this repo on your local hard drive. Your root folder should be apw_models.
3. Download the models you need. Not every workflow needs all the models.
4. Modify your extra_model_paths.yaml as follows:
```
comfyui:
base_path: [your_drive]\apw_models\
Generation_models: |
Generation\Image
Generation\Video
Generation\Audio
Upscaling\Image
checkpoints: |
Generation\Image
Generation\Video
Generation\Audio
Upscaling\Image
unet: |
Generation\Image
Generation\Video
Generation\Audio
Upscaling\Image
vae: VAE
text_encoders: Encoding\Text
clip_vision: Encoding\Image
loras: |
Conditioning\Image\LoRAs
Conditioning\Video\LoRAs
Conditioning\Audio\LoRAs
ipadapter: Conditioning\Image\IPAdapter
style_models: Conditioning\Image\Redux
controlnet: Conditioning\Image\ControlNet
upscale_models: Upscaling\Image
CogVideo: Generation\Video
cogvideox_loras: Conditioning\Video\LoRAs
embeddings: Conditioning\Image\Embeddings
```
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