ComfyUI Simple Flux - Turbo UnSampler & Inpainting

Video - https://youtu.be/-qVDWE0A1ek

Loads of changes in this one.

With the recent release of the AliMama beta inpainting controlnet, I figured I'd try it out, and now you can too!

The new Input Image section let's you easily pick from a variety of image-related options:

• Enable IMG2IMG will use the image latent instead of an empty one

• IMG Megapixel Scale sets the image size in megapixels

• IMG Noise has a limited range of around 0.8 to 0.95, with higher numbers changing the image more

• Enable Inpainting will require you to add a mask (via mask editor) to your image to represent the area you want to inpaint.

• Composite Inpaint will add the inpaint result back over the original image. Sometimes this is good, sometimes bad. Inpainting will always change the entire image (not just the masked area) so fine details (such as small text) always get changed. The composite counteracts that... however it can also make the masked area appear much more obvious :|

• The Rectified Flow Unsampler will first turn the image into noise and then back into an image again. This allows for small or large changes... or even really strange things!

Example Screenshot of a completed workflow run:

AliMama

The defaults for this uses 2 recently released models:

https://huggingface.co/alimama-creative/FLUX.1-Turbo-Alpha

https://huggingface.co/alimama-creative/FLUX.1-dev-Controlnet-Inpainting-Beta

The "Turbo Alpha" is much the same as Hyper-SD, but the filesize is much smaller. Results are obviously different to Hyper, but as to if they are better/same/worse...? I guess I'd probably go with about the same, though the smaller file size may tip it slightly in Turbo's favour.

The Inpainting Beta is better than the alpha, but I'm still getting plenty of obviously masked areas in many cases. Some things work really well, such as changing faces, but where the shape doesn't match so well your mileage will vary.

Give it a go and let me know what you think!

Rectified Flow Unsampler

https://github.com/logtd/ComfyUI-Fluxtapoz

A WIP but still really good fun :)

Other Notes

1. As with many models, they use generic filenames - diffusion_pytorch_model.safetensors - for everything. When downloading the files, it's a good idea to change the filenames to reflect what the model is. That way you know for later! If you want to use the same names as me, I used:

• Alimama-Ctrl-Inpainting-Beta.safetensors

• Alimama-Flux-Turbo-Alpha-8steps.safetensors

As usual, controlnets go into "ComfyUI/models/controlnet..." and loras into "ComfyUI/models/loras..."

2. Switches are fun ;) You can still deliberately break things by changing the value of the muted "composite" node when you're not using inpaint mode. Not sure how I can get around that yet!

3. I still almost kinda prefer IMG2IMG over inpainting, though I think that could change with an even better inpainting model!

4. The UU workflow also includes Ultimate Upscale