Local and cloud image generation for Stable Diffusion workflows
InvokeAI is an open-source image-generation toolkit focused on Stable Diffusion workflows, combining a local CLI and web UI with optional hosted cloud; it suits technically minded creators who need granular control over models (SD v1.5, SDXL) and exportable pipelines, while its self-hosted core remains free and paid cloud options are available for users wanting managed GPU access.
InvokeAI is an open-source image generation toolkit that runs Stable Diffusion models locally or via an optional hosted service. It provides both a command-line interface and a browser-based web UI for prompt-driven generation, img2img, inpainting, and batch jobs. Its key differentiator is a developer-friendly toolchain that exposes model management, prompt templating, and scriptable runs (local GPU or cloud), serving hobbyists, artists, and studios who need reproducible pipelines. The core software is free to self-host, with optional paid cloud/managed GPU offerings for users who prefer not to maintain hardware.
InvokeAI is an open-source image-generation project built around Stable Diffusion models and intended for creators who want reproducible, scriptable control over image synthesis. Originating as a community-driven fork and rework of earlier Stable Diffusion tooling, InvokeAI positions itself between hobbyist GUIs and production tooling by offering both a CLI and a browser-based web interface. The project emphasizes model management, deterministic prompt workflows, and the ability to run locally on CUDA or ROCm-capable GPUs, which keeps user data and models on-premises if required. Its main value proposition is giving power users and teams explicit control over model versions and exportable generation pipelines while remaining license-friendly and extensible.
Feature-wise, InvokeAI exposes a number of concrete capabilities. The web UI and CLI support text-to-image using Stable Diffusion v1.5 and SDXL model families (SDXL support provided in later releases), img2img transforms, and masked inpainting with selectable samplers and guidance scale. It includes batch generation and prompt templating so you can run dozens of variations in a single job, and supports integration with ControlNet and optional upscalers such as Real-ESRGAN for higher-resolution exports. Model management tooling downloads, caches, and swaps model checkpoints (local or from Hugging Face), and the CLI allows scripted runs for reproducible seed and step settings across experiments. The project also provides exportable generation metadata so teams can track prompts, seeds, model versions, and scheduler settings for auditability.
InvokeAI’s core distribution is free and open-source for self-hosting; you can install via the repository and run the CLI/web UI without a paid subscription. For users who do not want to manage GPUs, the project offers a hosted cloud/managed GPU option (pricing varies and is published on invoke.ai) and enterprise/custom contracts for larger teams needing SLA-backed infrastructure. The free self-hosted option includes unlimited local generations constrained only by your hardware. Hosted tiers typically charge for GPU time or monthly plans and add features such as priority queues, managed model hosting, and team access; check invoke.ai for the latest paid plan details and per-GPU rates (pricing details can change, so verify on the site).
InvokeAI is used by individual artists creating portfolio pieces, by indie game studios batching concept art generation, and by researchers building reproducible experiment pipelines. Example workflows include a concept artist using the web UI for rapid 30–100 variation iterations, and a QA engineer scripting deterministic seed-driven regression tests for model outputs. Its emphasis on local control and exportable metadata makes it distinct from single-purpose hosted generators; teams comparing against web-only services like Midjourney will prefer InvokeAI when they need local model control or exportable pipelines, while those wanting a turn-key conversational prompt studio might choose a fully hosted competitor instead.
Three capabilities that set InvokeAI apart from its nearest competitors.
Current tiers and what you get at each price point. Verified against the vendor's pricing page.
| Plan | Price | What you get | Best for |
|---|---|---|---|
| Self-hosted (Free) | Free | Unlimited local generations, limited by your GPU and storage | Hobbyists and developers with local GPU access |
| Cloud – Pay-as-you-go | Custom | Billed by GPU-time or credits, managed model hosting included | Users without GPUs who need managed runs |
| Team / Enterprise | Custom | SLA, team seats, priority GPU access, custom billing | Studios needing multi-seat managed infrastructure |
Choose InvokeAI over AUTOMATIC1111 if you need explicit model management and a unified CLI+web workflow for reproducible, team-oriented pipelines.