realrebelai/rebels_mrflow — explained in plain English
Analysis updated 2026-05-18
Generate higher resolution AI images faster using a low-res-then-refine workflow.
Run efficient image generation on GPUs with limited video memory, like 8GB cards.
Add Mr. Flow style staged sampling to a Z-Image Turbo or Krea-2 ComfyUI workflow.
Use ready-made presets to skip manually tuning step counts and denoise values.
| realrebelai/rebels_mrflow | 0xsero/tailscale-mullvad-toggle | afspies/clawdmoji | |
|---|---|---|---|
| Stars | 31 | 31 | 31 |
| Language | Python | Python | Python |
| Setup difficulty | moderate | easy | easy |
| Complexity | 3/5 | 2/5 | 2/5 |
| Audience | developer | developer | general |
Figures from each repo's GitHub metadata at analysis time.
Requires manually downloading and placing a separate RealESRGAN upscale model file.
This project is an add-on for ComfyUI, a visual, node based tool people use to build AI image generation workflows. It adds a set of custom nodes that implement a technique called Mr. Flow, originally created by another team of researchers, and ports it to work with two specific image generation models called Z-Image Turbo and Krea-2. The core idea behind Mr. Flow is a faster way to generate a high resolution image without needing extra training. Instead of generating an image directly at full resolution, which is slow and memory hungry, the process first generates a small, low resolution version of the image, then uses a dedicated upscaling model to enlarge it as a normal picture, feeds that enlarged picture back into the AI model's internal representation, and finally runs one short additional refinement pass at full resolution. The README states this approach works with model files loaded in several common compressed formats, and needs no extra software dependencies beyond ComfyUI itself. The package provides a small number of nodes: a preset node that fills in the correct low resolution dimensions and step counts for a chosen target size, an upscale and encode node that performs the resize and feeds the image back into the model, and a refine node that does the final short generation pass. The README walks through exactly how to wire these nodes together in a ComfyUI graph, alongside a normal sampler node, an upscale model loader, and a save image node, and it lists several ready-made presets with specific step counts and settings for both supported models. It also warns that the enlarging step must use a genuine image upscaling model, not a simple resize, or the whole technique loses its benefit, and it directs users to download that upscaling model separately. The README notes this approach is especially useful on graphics cards with limited memory, such as 8 gigabytes of video memory, because the expensive part of the process happens at the smaller resolution and only a single quick step runs at full size. This project is aimed at people who already use ComfyUI for AI image generation and want faster, more memory efficient high resolution output.
A ComfyUI add-on that speeds up high resolution AI image generation by generating small, upscaling, then doing one quick refine pass.
Mainly Python. The stack also includes Python, ComfyUI.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
double-check against the repo, no cap.