34 lines
1.5 KiB
Markdown
34 lines
1.5 KiB
Markdown
## Automating ComfyUI Model Downloads
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This guide will walk you through creating a shell script to automatically download the necessary models for your ComfyUI workflow, leveraging an advanced Large Language Model (LLM).
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1. Launched the Pod with these Environment Variables:
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- CIVITAI_API_TOKEN ([get your token here](https://civitai.com/user/account))
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- HF_API_TOKEN ([get your token here](https://huggingface.co/settings/tokens))
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3. In ComfyUI, export your workflow as an API workflow
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4. Copy the below prompt and upload the API workflow to a LLM **that has access to the internet**
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```
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Create a sh script that will download the models from this workflow into the correct folders. For reference, these are the paths:
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comfyui:
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base_path: /workspace/ComfyUI
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checkpoints: models/checkpoints/
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clip: models/clip/
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clip_vision: models/clip_vision/
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controlnet: models/controlnet/
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diffusion_models: models/diffusion_models/
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embeddings: models/embeddings/
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florence2: models/florence2/
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ipadapter: models/ipadapter/
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loras: models/loras/
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style_models: models/style_models/
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text_encoders: models/text_encoders/
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unet: models/unet/
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upscale_models: models/upscale_models/
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vae: models/vae/
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Make sure you find the correct URLs for the models online.
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Use comfy cli to download the models: comfy model download --url <URL> ?[--relative-path <PATH>]
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```
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5. Review the LLMs output to make sure all download links are correct and save it as a .sh file
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6. Upload it onto your Runpod instance
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7. Run the file. For example: `./download_comfyui_models.sh`
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