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README.md
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![Controlnet collections for Flux](https://github.com/XLabs-AI/x-flux/blob/main/assets/readme/light/flux-controlnet-collections.png?raw=true)
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[<img src="https://github.com/XLabs-AI/x-flux/blob/main/assets/readme/light/join-our-discord-rev1.png?raw=true">](https://discord.gg/FHY2guThfy)
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---
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license: other
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license_name: flux-1-dev-non-commercial-license
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license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.
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language:
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- en
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pipeline_tag: text-to-image
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tags:
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- LoRA
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- Stable Diffusion
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- image-generation
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- Flux
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---
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![Controlnet collections for Flux](https://github.com/XLabs-AI/x-flux/blob/main/assets/readme/light/flux-controlnet-collections.png?raw=true)
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[<img src="https://github.com/XLabs-AI/x-flux/blob/main/assets/readme/light/join-our-discord-rev1.png?raw=true">](https://discord.gg/FHY2guThfy)
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This repository provides a collection of ControlNet checkpoints for
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[FLUX.1-dev model](https://huggingface.co/black-forest-labs/FLUX.1-dev) by Black Forest Labs
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![Example Picture 1](https://github.com/XLabs-AI/x-flux/blob/main/assets/readme/examples/depth_example_3.png?raw=true)
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# Training details
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[XLabs AI](https://github.com/XLabs-AI) team is happy to publish fune-tuning Flux scripts, including:
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- **LoRA** π₯
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- **ControlNet** π₯
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[See our github](https://github.com/XLabs-AI/x-flux) for train script and train configs.
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# Training Dataset
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Dataset has the following format for the training process:
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```
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βββ images/
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β βββ 1.png
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β βββ 1.json
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β βββ 2.png
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β βββ 2.json
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β βββ ...
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```
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A .json file contains "caption" field with a text prompt.
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# Models
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Our collection supports 3 models:
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- Canny
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- HED
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- Depth (Midas)
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Each ControlNet is trained on 1024x1024 resolution.
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However, we recommend you to generate images with 1024x1024 for Depth, and use 768x768 resolution for Canny and HED for better results.
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# Inference
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Use main.py from our [official repo](https://github.com/XLabs-AI/x-flux)
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We do not guarantee that our checkpoints will work 100% correctly with other repositories and tools due to the nature of our sampling implementation and so on until we add our support.
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## Canny ControlNet
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```bash
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python3 main.py \
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--prompt "a viking man with white hair looking, cinematic, MM full HD" \
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--image input_image_canny.jpg \
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--control_type canny \
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--repo_id XLabs-AI/flux-controlnet-collections --name flux-canny-controlnet.safetensors --device cuda --use_controlnet \
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--model_type flux-dev --width 768 --height 768 \
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--timestep_to_start_cfg 1 --num_steps 25 --true_gs 3.5 --guidance 4
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```
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![Example Picture 1](https://github.com/XLabs-AI/x-flux/blob/main/assets/readme/examples/canny_example_1.png?raw=true)
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## Depth ControlNet
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```bash
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python3 main.py \
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--prompt "Photo of the bold man with beard and laptop, full hd, cinematic photo" \
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--image input_image_depth1.jpg \
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--control_type depth \
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--repo_id XLabs-AI/flux-controlnet-collections --name flux-depth-controlnet.safetensors --device cuda --use_controlnet \
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--model_type flux-dev --width 1024 --height 1024 \
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--timestep_to_start_cfg 1 --num_steps 25 --true_gs 3.5 --guidance 4
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```
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![Example Picture 2](https://github.com/XLabs-AI/x-flux/blob/main/assets/readme/examples/depth_example_1.png?raw=true)
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```bash
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python3 main.py \
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--prompt "photo of handsome fluffy black dog standing on a forest path, full hd, cinematic photo" \
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--image input_image_depth2.jpg \
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--control_type depth \
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--repo_id XLabs-AI/flux-controlnet-collections --name flux-depth-controlnet.safetensors --device cuda --use_controlnet \
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--model_type flux-dev --width 1024 --height 1024 \
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--timestep_to_start_cfg 1 --num_steps 25 --true_gs 3.5 --guidance 4
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```
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![Example Picture 2](https://github.com/XLabs-AI/x-flux/blob/main/assets/readme/examples/depth_example_2.png?raw=true)
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```bash
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python3 main.py \
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--prompt "Photo of japanese village with houses and sakura, full hd, cinematic photo" \
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--image input_image_depth3.webp \
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--control_type depth \
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--repo_id XLabs-AI/flux-controlnet-collections --name flux-depth-controlnet.safetensors --device cuda --use_controlnet \
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--model_type flux-dev --width 1024 --height 1024 \
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--timestep_to_start_cfg 1 --num_steps 25 --true_gs 3.5 --guidance 4
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```
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![Example Picture 2](https://github.com/XLabs-AI/x-flux/blob/main/assets/readme/examples/depth_example_3.png?raw=true)
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## HED ControlNet
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```bash
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python3 main.py \
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--prompt "2d art of a sitting african rich woman, full hd, cinematic photo" \
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--image input_image_hed1.jpg \
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--control_type hed \
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--repo_id XLabs-AI/flux-controlnet-collections --name flux-hed-controlnet.safetensors --device cuda --use_controlnet \
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--model_type flux-dev --width 768 --height 768 \
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--timestep_to_start_cfg 1 --num_steps 25 --true_gs 3.5 --guidance 4
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```
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![Example Picture 2](https://github.com/XLabs-AI/x-flux/blob/main/assets/readme/examples/hed_example_1.png?raw=true)
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```bash
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python3 main.py \
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--prompt "anime ghibli style art of a running happy white dog, full hd" \
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--image input_image_hed2.jpg \
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--control_type hed \
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--repo_id XLabs-AI/flux-controlnet-collections --name flux-hed-controlnet.safetensors --device cuda --use_controlnet \
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--model_type flux-dev --width 768 --height 768 \
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--timestep_to_start_cfg 1 --num_steps 25 --true_gs 3.5 --guidance 4
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```
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![Example Picture 2](https://github.com/XLabs-AI/x-flux/blob/main/assets/readme/examples/hed_example_2.png?raw=true)
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## License
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Our weights fall under the [FLUX.1 [dev]](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md) Non-Commercial License<br/>
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