https://github.com/lucataco/cog-sdxl-controlnet

Attempt at cog wrapper for SDXL Controlnet - Canny
https://github.com/lucataco/cog-sdxl-controlnet

cog

Last synced: 5 months ago
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Attempt at cog wrapper for SDXL Controlnet - Canny

• Host: GitHub
• URL: https://github.com/lucataco/cog-sdxl-controlnet
• Owner: lucataco
• Created: 2023-08-14T05:56:55.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2024-11-25T15:33:59.000Z (over 1 year ago)
• Last Synced: 2024-11-25T16:36:13.651Z (over 1 year ago)
• Topics: cog
• Language: Python
• Homepage: https://replicate.com/lucataco/sdxl-controlnet
• Size: 4.28 MB
• Stars: 13
• Watchers: 1
• Forks: 9
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# diffusers/controlnet-canny-sdxl-1.0 Cog model

[![Try a demo on Replicate](https://replicate.com/pnyompen/sd-controlnet-lora/badge)](https://replicate.com/pnyompen/sd-controlnet-lora)

This is an implementation of the [diffusers/controlnet-canny-sdxl-1.0](https://huggingface.co/diffusers/controlnet-canny-sdxl-1.0) as a Cog model. [Cog packages machine learning models as standard containers.](https://github.com/replicate/cog)

First, download the pre-trained weights:

    cog run script/download-weights

Then, you can run predictions:

    cog predict -i image=@demo.png -i prompt="aerial view, a futuristic research complex in a bright foggy jungle, hard lighting" -i negative_prompt="low quality, bad quality, sketches"

## Example:

Input:

"aerial view, a futuristic research complex in a bright foggy jungle, hard lighting"

![alt text](demo.png)

Output:

![alt text](output.png)