# bes-dev/stable_diffusion.openvino

Repository: https://github.com/bes-dev/stable_diffusion.openvino
Canonical: https://ross.abutalabs.com/products/stable_diffusionopenvino
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2023-09-29T07:28:19+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1471, "days_push": 1069, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1533, forks 207 (observed 2026-08-28T04:04:59.599625+00:00)

## What it is
A Python CLI implementation of Stable Diffusion text-to-image generation optimized for Intel CPUs and GPUs via OpenVINO. It supports text-to-image, image-to-image, and inpainting modes from a single demo script.

## Use cases
- generate images from text prompts on an Intel CPU
- run stable diffusion without a CUDA GPU
- do image-to-image generation from an initial photo
- inpaint regions of an image with a mask
- benchmark stable diffusion inference speed on CPUs

## When to choose
- you want to run Stable Diffusion on Intel hardware without a discrete NVIDIA GPU
- you need a simple script-based pipeline for txt2img, img2img, and inpainting
- you want reproducible generation with seeds and scheduler parameters

## When to avoid
- you need the latest Stable Diffusion models or a maintained pipeline (repo last released in 2023)
- you want a GUI or web interface
- you are on Apple Silicon or want GPU acceleration outside OpenVINO-supported devices

## Facets
- artifact type: cli-tool
- maturity: maintenance
- function: llm-inference, image-processing, stable-diffusion, cli
- domain: artificial-intelligence, image-processing, machine-learning, gpu-computing
- platform: windows, python, cli
- tags: openvino, text-to-image, stable-diffusion, image-to-image, inpainting, intel-cpu, intel-gpu, linux, macos

## Member repositories
- bes-dev/stable_diffusion.openvino (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:59.599625+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 2026-08-30T04:31:14.655858+00:00, confidence not recorded.
  - readme: https://github.com/bes-dev/stable_diffusion.openvino (fetched 2026-08-28T04:04:59.599625+00:00, sha 13157a8e519c)
- Data as of 2026-08-30T08:39:29.467469+00:00.