# pkuliyi2015/multidiffusion-upscaler-for-automatic1111

Tiled Diffusion and VAE optimize, licensed under CC BY-NC-SA 4.0

Repository: https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111
Canonical: https://ross.abutalabs.com/products/multidiffusion-upscaler-for-automatic1111
Language: Python
License: NOASSERTION
License Family: other
Topics: multidiffusion, stable-diffusion-webui-plugin, large-image, stable-diffusion, stable-diffusion-webui, image-generation, vramsaving
Last push: 2024-08-07T09:32:25+00:00

## Health v2 (maintenance only)
Score: 30/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 91
- inputs: {"age_days": 1283, "days_push": 756, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4994, forks 348 (observed 2026-08-28T04:09:04.389159+00:00)

## What it is
An Automatic1111 Stable Diffusion WebUI extension that enables generating and upscaling ultra-large images (2K+) on GPUs with limited VRAM (≤6GB). It implements Tiled Diffusion methods (MultiDiffusion, Mixture of Diffusers, DemoFusion), an original Tiled VAE technique, and Tiled Noise Inversion.

## Use cases
- generate ultra-large images with limited VRAM
- upscale images 4x with detail enhancement
- run stable diffusion on a 6GB GPU
- create panoramic images with txt2img
- control prompts per region in one image
- reduce VRAM usage during VAE decoding

## When to choose
- you use Automatic1111 WebUI and need 2K+ images on consumer GPUs
- you hit out-of-memory errors on large generations or upscaling
- you need regional prompt control for multi-character scenes

## When to avoid
- you use ComfyUI or another UI without Automatic1111
- you need a commercially-licensed tool (post-2023-03-28 code is CC BY-NC-SA, non-commercial)
- you only generate small images and don't need tiling overhead

## Facets
- artifact type: plugin
- maturity: active
- function: image-processing, stable-diffusion, llm-inference
- domain: image-processing, artificial-intelligence, web-development
- platform: python, cross-platform
- tags: stable-diffusion-webui, automatic1111-extension, tiled-diffusion, tiled-vae, vram-optimization, upscaling, multidiffusion, large-image-generation, gpu

## Member repositories
- pkuliyi2015/multidiffusion-upscaler-for-automatic1111 (main) score 30

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:04.389159+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:17:38.250622+00:00, confidence not recorded.
  - readme: https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111 (fetched 2026-08-28T04:09:04.389159+00:00, sha e3e7fc89d18a)
- Data as of 2026-08-30T08:39:29.467469+00:00.