Swarm-CivitAI

Summary

Convert metadata from SwarmUI for automatic recognition when uploading to CivitAI

Background

SwarmUI looks like the only way to use local Flux at the moment, but of course CivitAI only recognizes image formats created with Automatic1111 WebUI.
So to force CivitAI to recognize metadata from images generated with SwarmUI, I've written a script to convert SwarmUI metadata format to Automatic1111 format.

How to Use

Prerequisites

• Python (ideally v3.10 and above)
• SwarmUI (of course)

Step: Setup config file to point to model folders

1. Open SwarmUI_cfg.json in a text editor
2. Change the values of model_folder and unet_model_folder to the actual locations on your PC where these model files are stored NOTE SwarmUI doesn't look for FLUX models in the same folder as Stable Diffusion checkpoints. They're expected to be in the unet folder instead !! IMPORTANT !! Change any backslashes (\) to forward slashes (/) when entering the model paths

For example, let's say your Stable Diffusion checkpoint models are stored in C:\sd\models\Stable-Diffusion, FLUX models in C:\sd\models\unet, VAE models in C:\sd\models\VAE and LoRA models in C:\sd\models\Lora.
Then change the SwarmUI_cfg.json file like so:

{
    "model_folder": "C:/sd/models/Stable-Diffusion",
    "unet_model_folder": "C:/sd/models/unet",
    "vae_folder": "C:/sd/models/VAE",
    "lora_folder": "C:/sd/models/Lora"
}

Usage Instructions

1. Download the latest release, and unzip to a new folder
2. Drag & Drop the images you want to convert to the converter.bat file
3. That's it! The converted images will be saved in the same folder as the original, with _a1111 appended to the file name

Now you can upload the converted images to Civitai, and all parameters and models (including LoRAs) used by the image will automagically be filled in by Civitai upon upload.