Invoke AI
Locally hosted image generation studio with a layered canvas, node workflows and broad model support.
About
Artists who want a polished local alternative to node-only tools tend to land on Invoke. A launcher for Windows, macOS and Linux sets up Python, installs the app and handles updates; afterwards a Python backend serves a React interface in your browser. The centerpiece is a layered canvas for inpainting, outpainting, regional prompts, masks, brushes and SAM-based object selection, backed by a node workflow editor for repeatable pipelines and a gallery that stores generation metadata for recall. Model coverage spans SD 1.5, SDXL, SD 3.5, FLUX.1 and FLUX.2 variants, Qwen Image, Z-Image, CogView 4 and more, loaded from checkpoint, diffusers or some GGUF files, and recent releases add API-backed models such as GPT Image. Official guidance puts SD 1.5 at 4 GB of VRAM, SDXL at 8 GB and FLUX.1 at 10 GB, with NVIDIA on Windows and Linux, AMD on Linux, Intel Arc and Apple Silicon all supported. The code is Apache-2.0, so studios can modify and ship it commercially, though each model keeps its own license. A good choice for illustrators, concept artists and small teams who need fine control over composition.
Should you use Invoke AI?
Pick it when
Pick Invoke when artists or a studio team want a polished local app with a unified canvas for inpainting and outpainting, a model manager, and a workflow editor, under Apache-2.0 so you can build commercial products on it.
Look elsewhere when
Skip it if your work depends on community custom nodes or video and audio pipelines: ComfyUI's extension ecosystem and model coverage are broader. For prompt-only use on a small GPU, Fooocus is simpler.
Alternatives to Invoke AI
- ComfyUI
Broader coverage across image, video, and audio plus a large extension ecosystem, but GPL-3.0 and a harder node-first interface.
- Krita AI Diffusion
Brings inpainting, outpainting, and live painting into Krita itself, a better fit if your artists already paint there, under GPL-3.0.
- Fooocus
Simpler prompt-first SDXL app on 4 GB Nvidia GPUs, but no full canvas workflow and only bug-fix maintenance.
- Stable Diffusion WebUI
Huge extension library and fine control over sampling settings, but AGPL-3.0 and a form-heavy interface without a unified canvas.
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Details
- Category
- Image Generation
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Intermediate (3/5)
- License
- Apache-2.0
- Minimum VRAM
- 4 GB
- Added
- Jan 29, 2026