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XLabs-AI/flux-controlnet-canny
flux-controlnet-canny is a text-to-image model from XLabs-AI. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as other.
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From the Hugging Face model README

This repository provides a checkpoint with trained ControlNet Canny model for FLUX.1-dev model by Black Forest Labs
See our github for comfy ui workflows.

XLabs AI team is happy to publish fune-tuning Flux scripts, including:
See our github for train script and train configs.
Dataset has the following format for the training process:
├── images/
│ ├── 1.png
│ ├── 1.json
│ ├── 2.png
│ ├── 2.json
│ ├── ...
A .json file contains "caption" field with a text prompt.
To test our checkpoints, use commands presented below.
python3 demo_controlnet_inference.py \
--checkpoint controlnet.safetensors \
--control_image "input_image.jpg" \
--prompt "a handsome viking man with white hair, cinematic, MM full HD"

python3 demo_controlnet_inference.py \
--checkpoint controlnet.safetensors \
--control_image "input_image.jpg" \
--prompt "a dark evil mysterius house with ghosts, cinematic, MM full HD"

controlnet.safetensors falls under the FLUX.1 [dev] Non-Commercial License<br/>