# ***WORK IN PROGRESS***

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# APW Models

Archive of all models orchestrated by [AP Workflows for ComfyUI](https://perilli.com/ai/comfyui/).

![APW 12.0 for ComfyUI](APW_12_0.jpeg)

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
```