Easy Diffusion

Spec sheet

What it does

Easy Diffusion is a locally installed Stable Diffusion distribution with a browser-based interface for generating images from text or source images.Read 15 Oct 2026 · easydiffusion.github.io

Purpose

Easy Diffusion is a free, easy-to-install distribution of Stable Diffusion with a web interface for generating images from text prompts and images.Read 12 Oct 2026 · easydiffusion.github.io

Platforms

The installation instructions cover Windows, Linux, and Mac, and the software runs locally on the user's computer.Read 12 Oct 2026 · github.com

Free plan

YesRead 19 Sep 2026 · github.com

Security

The project lists malicious-model scanning with picklescan and support for the safetensors format.Read 12 Oct 2026 · github.com

Privacy

The project says it does not send prompts, usage, or analytics to anyone and does not track users.Read 12 Oct 2026 · github.com

Support

User support and development discussion are directed to GitHub issues and a Discord community.Read 15 Oct 2026 · github.com

License

The repository uses a custom license granting copying, modification, distribution and sale rights while imposing use-based restrictions and model-license obligations.Read 15 Oct 2026 · raw.githubusercontent.com

Maker

The repository credits cmdr2 and contributors; no incorporated legal entity, headquarters or employee count is stated on the reviewed official pages.Read 15 Oct 2026 · raw.githubusercontent.com

Advanced controls

Features include ControlNet, custom models, model merging, custom VAE models, and textual inversion embeddings.Read 12 Oct 2026 · github.com

Community extensions

Easy Diffusion supports community-generated UI plugins and allows users to write their own plugins.Read 12 Oct 2026 · github.com

ControlNet

ControlNet can guide composition from poses, outlines and other control images.Read 15 Oct 2026 · github.com

CPU mode

Generation can run on the CPU when no compatible graphics card is available, with substantially slower performance.Read 15 Oct 2026 · github.com

Custom models

Users can add checkpoint and safetensors models in the models directory and use custom VAEs and textual-inversion embeddings.Read 15 Oct 2026 · github.com

Developer tooling

The application includes a developer console for modifying Stable Diffusion code, packages and its Conda environment.Read 15 Oct 2026 · github.com

Documentation

The repository supplies a GitHub wiki covering installation, usage, models, ControlNet, SDXL, plugins, troubleshooting and advanced settings.Read 15 Oct 2026 · github.com

Face correction

GFPGAN and CodeFormer options provide automated face repair.Read 15 Oct 2026 · github.com

Generation modes

The interface supports text-to-image, image-to-image, and inpainting generation.Read 12 Oct 2026 · github.com

GPU support

Windows and Linux support NVIDIA or AMD GPUs, while Mac supports Apple M1 through M4, AMD graphics or CPU mode.Read 15 Oct 2026 · github.com

Image editing

YesRead 19 Sep 2026 · github.com

Image modifiers

A built-in modifier library supplies style tags such as realistic and pencil-sketch treatments.Read 15 Oct 2026 · github.com

Image to image

Users can provide an existing image to guide generation.Read 15 Oct 2026 · github.com

Inpainting

The interface supports repainting selected areas using inpainting workflows.Read 15 Oct 2026 · github.com

Installation

The project provides one-click downloads and bundles required software, so users do not need pre-installed dependencies.Read 15 Oct 2026 · github.com

Integration

A community plugin can open generated images in the Photopea web editor, but the project says it is not partnered with the service.Read 15 Oct 2026 · github.com

Internal API

Release notes mention an internal API that lets plugins add multiple buttons and labels to image rows.Read 15 Oct 2026 · github.com

Limit: setup time

Softpedia reported that initial setup can take a while because the program downloads and applies required models.Read 15 Oct 2026 · softpedia.com

Limit: workflow gotchas

A Reddit user cautioned that users still need to understand Stable Diffusion constraints such as matching image resolution to the model’s training size.Read 15 Oct 2026 · reddit.com

Live preview

The UI displays a preview while an image is being rendered.Read 15 Oct 2026 · github.com

Model support

The latest release says the v4 engine supports Flux 2 Klein, Z-Image, Qwen, and other models, including quantized GGUF models.Read 12 Oct 2026 · github.com

Multi GPU

Queued tasks can be distributed across multiple GPUs.Read 15 Oct 2026 · github.com

Network activity

The privacy note says the app contacts GitHub for code updates and may fetch models from Hugging Face or GitHub and Python packages from PyPI.Read 12 Oct 2026 · github.com

Output and editing

The project lists image upscaling, face correction, loopback, a simple drawing tool, and JPEG, PNG, and WEBP output.Read 12 Oct 2026 · github.com

Output formats

Images can be saved as JPEG, PNG or lossless WEBP files.Read 15 Oct 2026 · github.com

Plugin extensibility

Community UI plugins can add post-processing, accessibility, history, prompt and other interface features, and developers may write their own.Read 15 Oct 2026 · github.com

Plugin security warning

The project warns that community plugins are not reviewed for malicious code and should only be installed from trusted sources.Read 15 Oct 2026 · github.com

Praise: ease of use

A Reddit user praised the straightforward workflow, simple installation and usefulness for beginners while retaining advanced options.Read 15 Oct 2026 · reddit.com

Praise: feature breadth

The same discussion highlighted the prompt queue, native ControlNet support, automatic multi-GPU handling and plugin ecosystem.Read 15 Oct 2026 · reddit.com

Project origin

The maintainer’s launch post says Easy Diffusion began on August 24, 2022 as a 200-line project and later grew to version 3.0.Read 15 Oct 2026 · reddit.com

Prompt controls

Negative prompts, weighted prompts, prompt matrices and prompt sets are built in.Read 15 Oct 2026 · github.com

Rating on Softpedia

5.0 out of 5 from 1 editor reviewRead 15 Oct 2026 · softpedia.com

Reference images

YesRead 19 Sep 2026 · github.com

Release news

Version 3.0.16 was released on March 31, 2026 with new model support and improved AMD and Intel GPU support.Read 15 Oct 2026 · github.com

Requirements

The repository lists at least 8 GB of system RAM and 25 GB of disk space as minimum hardware requirements.Read 12 Oct 2026 · github.com

Security: model scanning

Picklescan is used to scan models for malicious pickle content, and safetensors loading is supported as a safer model format.Read 15 Oct 2026 · github.com

Security: usage restrictions

The project license restricts unlawful, harmful, privacy-abusive, discriminatory, medical-advice and certain law-enforcement uses.Read 15 Oct 2026 · raw.githubusercontent.com

Server plugins

A 2023 release introduced server-side plugins with support for overriding get_cond_and_uncond().Read 15 Oct 2026 · github.com

Supported model families

The current release adds Flux 2 Klein, Z-Image, Qwen and other quantized GGUF models through the v4 engine.Read 15 Oct 2026 · github.com

System requirements

The README specifies at least 8 GB system RAM and 25 GB disk space; supported GPU paths require at least 2 GB video memory.Read 15 Oct 2026 · github.com

Task queue

Multiple image-generation jobs can be queued without waiting for the current job to finish.Read 15 Oct 2026 · github.com

Text to image

Users can create images from written prompts.Read 15 Oct 2026 · github.com

Upscaling

RealESRGAN and latent upscaling options can enlarge generated images.Read 15 Oct 2026 · github.com

Workflow

Users can queue multiple tasks, preview images as they are generated, and submit multiple prompts from a text file.Read 12 Oct 2026 · github.com

Plans and prices

Every Easy Diffusion plan and price →

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