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---
title: Flux Inpaint Controlnet
emoji: 🌍
colorFrom: indigo
colorTo: gray
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
hf_oauth: true
pinned: false
---
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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# Flux Inpaint AI Model
This Space demonstrates the Flux inpaint AI model, which uses ControlNet for image inpainting tasks.
## How to use
1. Upload an input image
2. Upload a mask image (white areas will be inpainted)
3. Enter a prompt describing the desired output
4. Adjust the sliders for fine-tuning (optional)
5. Click "Submit" to generate the inpainted image
## Model Details
This Space uses the following models:
- Base model: black-forest-labs/FLUX.1-dev
- ControlNet model: YishaoAI/flux-dev-controlnet-canny-kid-clothes
The inpainting process uses a Canny edge detector for additional control.
## Parameters
- Strength: Controls the strength of the inpainting effect (0-1)
- Number of Inference Steps: More steps can lead to better quality but slower generation
- Guidance Scale: Controls how closely the image follows the prompt
- ControlNet Conditioning Scale: Adjusts the influence of the ControlNet model
Enjoy experimenting with the Flux Inpaint AI Model!
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