README.md

metadata

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

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!