CivitAI Batch Model Downloader

One click Multi-thread download solution for all Civit-Ai models.

Requirements

• Git

• Python 3 and pip

• Parfive python library Automatically installed by download.py.

Installation

I. On Runpod

1. Select the RunPod Fast Stable Diffusion Image from Runpod Templates and Deploy it.

2. Adjust your Disk Volume if required from Customize Deployment.

3. Connect to Jupyter Lab.

4. Open a terminal from launcher. Clone this repo and copy the contents of downloaded repo to the main folder.

git clone https://github.com/deepratnaawale/CivitAIBatchModelDownloader.git

5. Done!

II. Local Install

1. Open a terminal from launcher. Clone this repo using

git clone https://github.com/deepratnaawale/CivitAIBatchModelDownloader.git

2. Done!

Using the Downloader

Note

The Downloader will Automatically download content from every CSV in the CSVs Directory to the default download location.

1. Goto CivitAIBatchModelDownloader directory

cd CivitAIBatchModelDownloader/

2. Use downloader to download files from the csvs by typing the following in the terminal.

python download.py

3. Choose the option you want to use: 1 for Runpod, and 2 for any other systems. DO NOT TYPE THE BRACKETS, just the number.

Tweaks

1. If needed, you can edit the default paths in the download.py file.

    model_path = {
        "checkpoint": Path("models", "Stable-diffusion"),
        "lora": Path("models", "Lora"),
        "locon": Path("models", "Lora"),
        "lycoris": Path("models", "Lora"),
        "controlnet": Path("models", "ControlNet"),
        "hypernetwork": Path("models", "hypernetworks"),
        "vae": Path("models", "VAE"),
        "poses": Path("models", "Poses"),
        "other": Path("models", "Other"),
        "textualinversion": Path("Embeddings"),
        "upscaler": Path("models", "ESRGAN"),
        "aestheticgradient": Path(r"extensions\stable-diffusion-webui-aesthetic-gradients\aesthetic_embeddings"),
        "motionmodule": Path(r"extensions\sd-webui-animatediff\model")
        
    }

The format is

model_type: Path(path/to/download/model/to/)

Don't forget to add the a , if your model isn't the last one. Do not use plural in dict key, i.e. lora NOT loras, lowercase necessary!

CSV Structure

Caution

All your models should be in their respective csvs. Ex: checkpoint.csv should have all checkpoint models.

• All your CSVs are should be the following format

Sr.no	Model ID	Model Name	Model URL
1	4201	Realistic Vision V4.0	https://civitai.com/api/download/models/114367
2	...	...	...
3	...	...	...

[!HINT] You can automatically create these CSVs using my CivitAI-DownloadLink-Extractor repository.