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InvokeAI

A canvas-first creative studio for local image generation — layers, inpainting and regional prompting in a Photoshop-like UI.

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About

InvokeAI is an open-source creative studio for running diffusion models entirely on your own hardware. Its centerpiece is the Unified Canvas — a layer-based, non-destructive editing workspace with inpainting, outpainting, brush tools, regional prompting and ControlNet, so you iterate on regions of an image instead of regenerating from scratch. Around it sit a visual model manager, boards/gallery for organizing outputs, and a node-based workflow builder for repeatable pipelines. It serves a local web server with a React UI plus a FastAPI backend (Swagger at /docs) and supports multi-user deployments with JWT/Bearer auth. SD1.5, SDXL and FLUX families are supported. Distributed under Apache-2.0, it is the most commercially-friendly license of the three big local image UIs — no copyleft obligations on derivative use.

What it can do

  • **Unified Canvas**: layer-based, non-destructive image editing with inpainting, outpainting, brush masking and region-aware generation
  • **Regional prompting + ControlNet**: prompt different regions independently; ControlNet-guided composition
  • **Workflow builder**: node-based generation pipelines for repeatable production work
  • **Model manager**: install/switch SD1.5, SDXL and FLUX-family models from inside the UI (plus manual install)
  • **Boards & gallery**: organize outputs into boards; session queue with batch generation
  • **API & multi-user**: FastAPI backend with OpenAPI/Swagger docs, session queue router, Bearer/JWT auth in multi-user mode
  • **CLI**: terminal-based generation path for developers and automation

Setup

Automatic installer (recommended)

  1. Download InvokeAI-installer-vX.Y.Z.zip from the GitHub releases page (Windows, macOS, Linux)
  2. Unzip; on Windows first double-click WinLongPathsEnabled.reg to avoid long-path failures
  3. Run install.bat (Windows) or install.sh (Linux/macOS); choose the default (latest) version, pick an install location with several GB free, and select your GPU device
  4. Run invoke.bat / invoke.sh → choose "run the UI" → open http://127.0.0.1:9090
  5. Install at least one generation model via the built-in Model Manager before generating

pip install (advanced)

  1. pip install InvokeAI==6.14.2 (check PyPI for the current version)
  2. Run the invokeai launcher and follow the first-time prompts

Updates: re-run the same installer and select the new version — existing models and configs are preserved.

Prerequisites

- Windows 10+, macOS (Apple Silicon, 16 GB+ unified memory recommended), or Linux - GPU strongly recommended: NVIDIA 8 GB+ VRAM for SDXL (SD1.5 runs on less); FLUX models want 12 GB+ - Python handled by the installer; pip route needs Python 3.10–3.11 - Several GB of disk space for the app plus model weights (the installer downloads PyTorch, ~several GB)

Use cases

imagemedia

Works with

claudeAntigravityHermes

Trust score — 9/10

/10 trustVerified

Scored 9/10 (verified tier, metrics-v1). Evidence: 28,588 GitHub stars (log-scaled vs catalog peers); blended with ~23,125 monthly package downloads; last push 0d ago; 28 releases/12mo; 419 open issues. Manual review: Adobe acquisition of founding team is media-reported, NOT independently verified; Community Edition continues under community maintainers (verified active). License: Apache-2.0.

★ 28,588 GitHub stars

How the trust score is built

Full methodology →
Adoption · stars/downloads, log-scaled vs peers
7.8/10
Maintenance · recency, releases, issue load
9.4/10
Openness · license + docs
10.0/10
Manual review · sanity read + red-flag check
8.0/10
  • · 28,588 GitHub stars (log-scaled vs catalog peers)
  • · blended with ~23,125 monthly package downloads
  • · last push 0d ago; 28 releases/12mo; 419 open issues
  • · manual review: Adobe acquisition of founding team is media-reported, NOT independently verified; Community Edition continues under community maintainers (verified active)

Sources

Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.