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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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- Stable Diffusion |
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- image-generation |
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- Flux |
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- diffusers |
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--- |
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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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# 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** 🔥 |
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- **ControlNet** 🔥 |
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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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├── images/ |
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│ ├── 1.png |
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│ ├── 1.json |
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│ ├── 2.png |
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│ ├── 2.json |
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│ ├── ... |
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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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# Examples |
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See examples of our models results below. |
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Also, some generation results with input images are provided in "Files and versions" |
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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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See examples how to launch our models: |
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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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## 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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```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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```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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## 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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```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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## 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/> |
