I'll be posting more of my implementations and experiments on here from now on For now, implementation of RF-Inversion for unsampling and editing images using Flux github.com/logtd/ComfyUI-…

RAVE and FLATTEN were two of the papers that originally got me into diffusion models. They take inverse noise and apply consistency to image models. Now with RF-Inversion (thanks Litu Rout and Nataniel Ruiz) I can try these on Flux. Not production quality, but still fun.

Been revisiting Reference-Only Control for Flux. It uses the diffusion model as a pseudo image encoder on a reference image to influence the generation. Results are somewhere between style and content transfer.

Just published a set of ComfyUI nodes to use Genmo's Mochi to edit videos. github.com/logtd/ComfyUI-… It uses rf-inversion, the gift that keeps on giving.

experimenting with regional prompting on the Hunyuan video model, giving some inception vibes left side prompt: cyberpunk & pan left right side prompt: steampunk & pan right

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