Flux Inpaint and Outpaint Workflow SDXL Inpaint Outpaint

SDXL Lightning Standard Workflows
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Flux Inpaint and Outpaint Workflow SDXL Inpaint Outpaint

Changed the model to Juggernaut Lightning for more realistic generation.

Workflow now allows for both inpainting and outpainting within the same generation.

Notice

  • This workflow is not state of the art anymore, please refer to the Flux.1 Fill and the official comfyui workflows for your inpainting and outpainting needs. Details below:

  • Black forest labs has since released official flux 1 tools: https://blackforestlabs.ai/flux-1-tools/

  • The tools include the Flux.1 Fill [dev] model which is better than the alimama controlnet used in this workflow.

  • There is native comfyui support for the flux 1 tools: https://blog.comfy.org/day-1-support-for-flux-tools-in-comfyui/ which you should use for your inpainting and outpainting needs.

  • You can grab the official comfyui inpaint and outpaint workflows from: https://comfyanonymous.github.io/ComfyUI_examples/flux/ by downloading the images (workflow embedded within the images) and opening them in comfyui.

  • If you have low VRAM, you can download the fp8 version of the Flux.1 Fill [dev] model from here: https://civarchive.com/models/969431/flux-fill-fp8

  • This workflow will not be updated anymore because there is nothing I have to add to the official comfyui inpaint and outpaint workflows.

Introduction

The latest version of this workflow uses

  • alimama-creative/FLUX.1-dev-Controlnet-Inpainting-Beta

  • alimama-creative/FLUX.1-Turbo-Alpha

to achieve 8 steps inpainting and outpainting within the same workflow.

Models

  1. FLUX.1-Turbo-Alpha.safetensors (models/loras/flux) https://huggingface.co/alimama-creative/FLUX.1-Turbo-Alpha

  2. FLUX.1-dev-Controlnet-Inpainting-Beta-fp8.safetensors (models/controlnet) https://huggingface.co/alimama-creative/FLUX.1-dev-Controlnet-Inpainting-Beta

    Download diffusion_pytorch_model.safetensors, rename the file and use Kijai's script (https://huggingface.co/Kijai/flux-fp8/discussions/7#66ae0455a20def3de3c6d476) to convert to FP8 to be able to fit into 16GB VRAM.

  3. flux1-dev-fp8-e4m3fb.safetensors (models/diffusion_models/flux): https://huggingface.co/Kijai/flux-fp8/tree/main

  4. t5xxl_fp8_e4m3fn_scaled.safetensors (models/clip): https://huggingface.co/comfyanonymous/flux_text_encoders/tree/main

  5. ViT-L-14-BEST-smooth-GmP-TE-only-HF-format.safetensors (models/clip): https://huggingface.co/zer0int/CLIP-GmP-ViT-L-14/tree/main

Custom Nodes

  1. segment anything (if you have > 16GB VRAM and want to use automatic segmentation)

  2. Various ComfyUI Nodes by Type

  3. KJNodes for ComfyU