Proper Flux Control-Net inpainting and/or outpainting with batch size - ComfyUI (Alimama) or Flux Fill

v7.1
diogod
4 months ago

I try my best to avoid hiding the workflow flow, while balancing keeping it clean and user-friendly.

It does use a lot of custom nodes to make life easier and workflow cleaner. Use manager to install the missing ones.

This is a proper inpainting with alimama control-net + Flux Fill support on V3.

Supports loading of an external mask (need to match the image size) or doing the inpainting within the right-click "Open MaskEditor" on the image itself.

Supports FILL (use FastBypasser - black node)

Supports area inpaiting x full image inpaiting (use FastBypasser - black node)

Supports variable denoise (Change denoise on the CONTROL ROOM)

Supports Negative (use FastBypasser - black node)

Proper composite so no VAE degradation

I added LoRa support and Daemon Detailer support (both are optional)

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Info

Base model: Flux.1 D

Version v7.1: 1 File

To download these files, please visit this page from a desktop computer.

About this version: v7.1

v7.1 - 30/04/25 - Bug fixes for the new ComfyUI frontend

1. ❗ Fixed: Mask was being resized by "resize image" by KJNodes that was updated and got disconnecter. I changed it to "πŸ”§ Image Crop".

2. ❗ Refactoring AE: New comyUI update broke "Anything Everywhere". When something was connected OF a bypassed group that could not bypass the content, it disconnects the noodle, so in a second run without bypass the workflow would be wrong. Because of that:

a. Removed AE from "inpmask" > using Set and Get "inpaint_mask" now

b. Removed AE after outpainted group. This means, "main mask" and main "image for inpaint" is now connected directly where they are needed.

c. Removed AE from "outpadimage" > using Set and Get "padded_outpainted_image"

27 Versions

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