rupeshs/fastsdcpu

Health v2 · maintenance only

Flags: prerelease_only

Adoption not part of the score

2143 stars · 214 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

FastSD CPU is a Python application that runs Stable Diffusion image generation quickly on CPUs and Intel AI PCs using Latent Consistency Models, Adversarial Diffusion Distillation, and OpenVINO. It ships with a Qt desktop GUI, a Gradio WebUI, a CLI, an API, and an MCP server, supporting models like SDXS, SDXL Turbo, and Flux.

Use cases

• generate stable diffusion images on a CPU without a GPU
• run fast text-to-image generation on an Intel AI PC with NPU support
• create 512x512 images in under a second with OpenVINO
• use stable diffusion from the command line or a local web UI
• serve text-to-image generation through an API or MCP server
• run image editing, photo restoration, and colorization locally
• run stable diffusion on a Raspberry Pi or Android via Termux

When to choose

• you have no GPU or want fast diffusion inference on CPU or Intel NPU/GPU
• you need a self-contained local text-to-image tool with GUI, CLI, and API options
• you want to use distilled fast models like LCM, SDXS, SDXL Turbo, or Flux GGUF

When to avoid

• you need the full quality and ecosystem of a GPU-based Stable Diffusion UI like ComfyUI or Automatic1111
• you require large-scale batch image generation in a datacenter setting
• you need fine-grained node-based workflow control for complex pipelines

Facets

application · maturity active

image-processing machine-learning llm-inference cli gui mcp image-processing artificial-intelligence machine-learning cross-platform windows python cross-platform cli stable-diffusion openvino latent-consistency-models sdxl-turbo flux cpu-inference text-to-image gradio webui npu gguf linux macos docker

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