Fastsdcpu

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Fastsdcpu is an open-source image generation tool that provides fast stable diffusion on CPUs and AI PCs. It offers desktop GUI, web UI, and CLI interfaces for generating images.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is fastsdcpu?

Fastsdcpu is an open-source tool designed for rapid stable diffusion on CPUs and AI PCs, eliminating the need for a dedicated GPU. It supports various interfaces including a desktop GUI, a feature-rich WebUI with Lora and ControlNet support, and a command-line interface (CLI). The tool leverages OpenVINO for accelerated inference, achieving image generation in under a second on compatible hardware. It supports multiple image sizes, various models like LCM, LCM-LoRA, SDXL, and SD Turbo, and includes features like negative prompts, image-to-image generation, and upscaling. Fastsdcpu is compatible with Windows, Linux, Mac, Android + Termux, and Raspberry Pi 4, making it a versatile solution for local AI image processing and experimentation.

Best used for

Ideal for developers and researchers who need to generate AI images quickly on diverse hardware, experiment with various stable diffusion models, and integrate image generation into custom applications. Especially valuable for local AI processing without relying on powerful GPUs.

Common actions

generate images

run stable diffusion

accelerate AI inference

experiment with diffusion models

face swapping"AI Agents"github copilotopen-sourceworkflowscollaborationdeepfakelow-code/no-codeautomated workflow

Capabilities

Key features

Fast stable diffusion
CPU/AI PC optimized
Desktop GUI
WebUI interface
CLI interface
OpenVINO support
LCM/LoRA models

Target Audience

ai enthusiastsdevelopersstudentshobbyists

Integrations

gimpopenvinoopen-webuicomfyui

Pricing & Plans

Open Source

Free

FAQs

What hardware is required to run FastSD CPU?

FastSD CPU is designed to run on CPUs and AI PCs, including Intel Core i7, Core Ultra Series 2, and Raspberry Pi 4. It leverages OpenVINO for performance optimization, allowing for fast inference even without a dedicated GPU.

What are the minimum memory requirements for FastSD CPU?

The minimum RAM requirement varies by model. For LCM, 2GB is needed. For LCM-LoRA, 4GB is required. OpenVINO mode typically needs 11GB, which can be reduced to 9GB with the Tiny decoder (TAESD) enabled.

Can I use custom Stable Diffusion models with FastSD CPU?

Yes, FastSD CPU supports custom models. You can add single file Safetensors SD 1.5/SDXL models (e.g., from Civitai) by specifying their local path in the configuration files. It also supports custom OpenVINO models.

Does FastSD CPU support real-time image generation?

Yes, FastSD CPU offers experimental real-time text-to-image generation, particularly efficient on CPUs with OpenVINO. This feature allows users to generate images almost instantly as they type, enhancing interactive creative workflows.

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