Dough
Open-source tool for steering AI animations with images and video examples.
Dough delivers impressive precision for AI animation but is effectively frozen in time. Pick it if you're a technical artist comfortable with local setup and unmaintained software. Most creators will prefer actively developed alternatives with cloud hosting.
- AI artists exploring generative animation with precise control
- Open-source developers contributing to AI video tools
- Researchers prototyping video generation techniques
- Hobbyists with powerful Linux/Windows machines (>12GB VRAM)
- Beginners without command-line or Python experience
- Users seeking a polished, cloud-hosted product
- Mac users (no macOS support documented)
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In short
Dough — Open-source tool for steering AI animations with images and video examples. Best for AI artists exploring generative animation with precise control, Open-source developers contributing to AI video tools, Researchers prototyping video generation techniques. Free to use.
Viability Score
How likely is Dough to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- AI animation generation from static images
- Motion steering using example videos (Motion Director)
- Steerable Motion integration for image-guided animation
- Inspiration Engine for generating images in desired style
- Granular per-frame motion settings
- Motion LoRA training for custom motion patterns
- Batch processing for multiple animations
- Frame-by-frame editing of assembled shots
- Streamlit-based user interface
- Local GPU mode for offline processing
- Docker support for containerized deployment
- Pinokio one-click installer for easy setup
- Linux and Windows support (12GB+ VRAM required)
- Open-source code for customization and contribution
- Archived repository (read-only, no active development)
About Dough
Dough is an open-source art tool that enables artists and animators to generate and control AI animations with precision using reference images and example videos. Built around Steerable Motion and Motion Director techniques, it provides granular control over each frame, allowing creators to guide style and motion through visual inputs rather than abstract parameters. The Inspiration Engine generates hundreds of images in a chosen style, which can be assembled into shots and animated with per-frame settings and Motion LoRAs. Dough runs on Linux and Windows systems with more than 12GB of VRAM, and supports local GPU mode, Docker deployment, and a one-click installer via Pinokio. The project is archived and read-only as of December 2024, meaning no future updates or official support. Compared to commercial tools like Runway or Pika, Dough offers deeper creative control for those willing to self-host and experiment, but lacks polish and a cloud-hosted option.
Behind the Verdict
Dough is a fascinating experiment in fine-grained AI animation control. The ability to steer motion per frame with example videos and train Motion LoRAs is genuinely powerful—something commercial tools often abstract away. For artists who want to dive deep into the mechanics of video generation, it's a great sandbox. But its archived status is a real problem. No updates means no bug fixes, no new model support, and no community help beyond existing issues. You'll need to be comfortable with Python, Git, and troubleshooting GPU setups. If you're a hobbyist with a powerful local machine and enjoy tinkering, it's worth a weekend. For anything production-ready, look elsewhere.
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Use Cases
- Generate custom animations from reference images and motion cues
- Steer video generation with precise control using example clips
- Experiment with AI-driven animation techniques on your own hardware
- Create unique visual effects for art projects or research
- Explore open-source tools for generative video workflows
Limitations
- Dough is now archived and read-only, receiving no further updates or support.
- It requires a Linux or Windows machine with more than 12GB of RAM, and there is no Mac support.
- The tool lacks an API and is not beginner-friendly, needing command-line setup.
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