InvokeAI vs MoneyPrinterTurbo
Short answer
InvokeAI: Creative studio for AI image (and video) generation with canvas, layers and workflows. MoneyPrinterTurbo: Turns a topic or keyword into a finished short video with script, stock footage, voice-over and subtitles. Both are in our Image & media generation category.
Choose InvokeAI if you want: simpler deploy (one container vs a multi-container stack).
Choose MoneyPrinterTurbo if you want: no GPU server needed and larger community (136k vs 28.9k GitHub stars).
Last updated · computed from each project's official docs and live GitHub data · sources
InvokeAI vs MoneyPrinterTurbo side by side
| InvokeAI | MoneyPrinterTurbo | |
|---|---|---|
| Category | Image & media generation | Image & media generation |
| What it is | Creative studio for AI image (and video) generation with canvas, layers and workflows. | Turns a topic or keyword into a finished short video with script, stock footage, voice-over and subtitles. |
| License | Apache-2.0 | MIT |
| License type | Permissive | Permissive |
| License conditions | Permissive. Internal and commercial use allowed; keep license and notices. Each model has its own license; check before commercial use. | Permissive. Internal and commercial use allowed; keep the license notice. Stock footage, voices and models you use keep their own terms. |
| Status | Active | Active |
| GitHub stars | 28.9k | 136k |
| Last commit | Oct 28, 2026 | Oct 28, 2026 |
| Latest release | v6.14.2 | v1.3.9 |
| Minimum hardware | Not published | 4 vCPU · 4 GB RAM |
| Recommended hardware | Not published | 6 vCPU · 8 GB RAM |
| RAM measured by us | Not tested yet | Not tested yet |
| GPU | Nvidia GPUs with compute capability 7.5+ (GTX 16xx, RTX 20xx and later, driver R580+), AMD via ROCm and Intel Arc are supported; Apple Silicon works with 16 GB+ memory recommended. Linux ARM64 runs CPU-only, where local generation is slow. | Optional: the README says a GPU is not required; 4+ GB VRAM is recommended (8+ GB optimal) for faster local Whisper transcription, video processing and batch generation. |
| Est. server cost | GPU server (not estimated) | from €35.99/mo (recommended spec: €69.99/mo) |
| Deploy method | Docker (Nvidia GPU) | Docker Compose |
| Known gotchas | 4 listed | 4 listed |
| Telemetry | Not documented | Not documented |
| Calls home by default | Not documented | Yes, by default |
| SSO (OIDC / SAML / LDAP) | Not supported (OIDC not supported) | Not documented |
| Audit log | No | Not documented |
| RBAC | Yes, free | Not documented |
| Details | Full InvokeAI guide → | Full MoneyPrinterTurbo guide → |
Key differences
- License: InvokeAI: Apache-2.0 (Permissive). MoneyPrinterTurbo: MIT (Permissive).
- Official hardware: InvokeAI: not published. MoneyPrinterTurbo: minimum 4 vCPU · 4 GB RAM (recommended 6 vCPU · 8 GB RAM).
- GPU: InvokeAI: needed for practical use. MoneyPrinterTurbo: optional / see notes.
- Est. server cost: InvokeAI: GPU server (not estimated). MoneyPrinterTurbo: from €35.99/mo.
- Deploy: InvokeAI: Docker (Nvidia GPU) · single container. MoneyPrinterTurbo: Docker Compose · multi-container stack.
- GitHub stars: InvokeAI: 28.9k. MoneyPrinterTurbo: 136k.
- Latest release: InvokeAI: v6.14.2 (Sep 27, 2026). MoneyPrinterTurbo: v1.3.9 (Oct 21, 2026).
Same for both: Category: Image & media generation; Status: Active; Last commit: Oct 28, 2026.
InvokeAI vs MoneyPrinterTurbo: FAQ
InvokeAI or MoneyPrinterTurbo: which should a small business choose?
Choose InvokeAI if you want: simpler deploy (one container vs a multi-container stack). Choose MoneyPrinterTurbo if you want: no GPU server needed and larger community (136k vs 28.9k GitHub stars).
Which is cheaper to self-host, InvokeAI or MoneyPrinterTurbo?
InvokeAI: GPU server (not estimated). MoneyPrinterTurbo: from €35.99/mo. Our estimate is the cheapest Hetzner Cloud plan that meets each project's official RAM and vCPU figure; it covers the server only.
How much hardware do InvokeAI and MoneyPrinterTurbo need?
InvokeAI: not published. MoneyPrinterTurbo: minimum 4 vCPU · 4 GB RAM (recommended 6 vCPU · 8 GB RAM). InvokeAI needs a GPU for practical use.
What is the license difference between InvokeAI and MoneyPrinterTurbo?
InvokeAI: Apache-2.0 (Permissive). Permissive. Internal and commercial use allowed; keep license and notices. Each model has its own license; check before commercial use. MoneyPrinterTurbo: MIT (Permissive). Permissive. Internal and commercial use allowed; keep the license notice. Stock footage, voices and models you use keep their own terms. This is a summary, not legal advice.
Is InvokeAI or MoneyPrinterTurbo more actively maintained?
InvokeAI: Active, last commit Oct 28, 2026. MoneyPrinterTurbo: Active, last commit Oct 28, 2026. GitHub data refreshed Oct 28, 2026.
Which is easier to deploy, InvokeAI or MoneyPrinterTurbo?
InvokeAI installs via Docker (Nvidia GPU) (single container); MoneyPrinterTurbo via Docker Compose (multi-container stack). InvokeAI lists 4 known gotchas and MoneyPrinterTurbo lists 4; see each app page.
Related
Sources
- InvokeAI GitHub repository: github.com/invoke-ai/InvokeAI
- InvokeAI documentation: invoke.ai/
- InvokeAI license: github.com/invoke-ai/InvokeAI/blob/main/LICENSE
- InvokeAI hardware requirements: invoke.ai/start-here/system-requirements/
- InvokeAI deploy instructions: invoke.ai/configuration/docker/
- MoneyPrinterTurbo GitHub repository: github.com/harry0703/MoneyPrinterTurbo
- MoneyPrinterTurbo documentation: github.com/harry0703/MoneyPrinterTurbo/blob/main/README-en.md
- MoneyPrinterTurbo license: github.com/harry0703/MoneyPrinterTurbo/blob/main/LICENSE
- MoneyPrinterTurbo hardware requirements: github.com/harry0703/MoneyPrinterTurbo/blob/main/README-en.md#system-requirements-
- MoneyPrinterTurbo deploy instructions: github.com/harry0703/MoneyPrinterTurbo/blob/main/README-en.md#docker-deployment-
- Hetzner Cloud pricing used for cost estimates (read 2026-10-25): www.hetzner.com/cloud/regular-performance
- GitHub REST API (stars, commits, releases): docs.github.com/en/rest
Every value is generated from the same verified data as the app pages. Spotted something wrong? Tell us.