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---
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Text-to-Image
- ControlNet
- Diffusers
- Flux.1-dev
- image-generation
- Stable Diffusion
base_model: black-forest-labs/FLUX.1-dev
---
# FLUX.1-dev-ControlNet-Pose
This repository contains a Pose ControlNet for FLUX.1-dev model trained by researchers from [Shakker Labs](https://huggingface.co/Shakker-Labs).
# Model Cards
- The model consists of 4 FluxTransformerBlock and 1 FluxSingleTransformerBlock following the same setting in [Shakker-Labs/FLUX.1-dev-ControlNet-Depth](https://huggingface.co/Shakker-Labs/FLUX.1-dev-ControlNet-Depth).
- This checkpoint is trained on both real and generated image datasets, with 40\*A800 for 75K steps. The batch size 40\*8=320 with resolution=512. The learning rate is set to 1e-5. We use [controlnet_aux](https://github.com/huggingface/controlnet_aux/tree/master/src/controlnet_aux/dwpose) to extract conditions.
- The recommended controlnet_conditioning_scale is 0.7.
# Showcases
<div class="container">
<img src="./assets/teaser.png" width="1024"/>
</div>
# Resources
- [InstantX/FLUX.1-dev-Controlnet-Canny](https://huggingface.co/InstantX/FLUX.1-dev-Controlnet-Canny)
- [Shakker-Labs/FLUX.1-dev-ControlNet-Depth](https://huggingface.co/Shakker-Labs/FLUX.1-dev-ControlNet-Depth)
- [Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro](https://huggingface.co/Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro)
# Acknowledgements
This project is released by [Shakker AI](https://www.shakker.ai/). All copyright reserved.
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