The definitive answer on Seedance's open source status. Which versions are available, where to find model weights, license restrictions, and the best open-source alternatives for local AI video generation.
As of February 2026, Seedance 2.0 (ByteDance's flagship AI video generation model) is proprietary. The model weights, training code, and inference code are not publicly available.
A complete breakdown of every known Seedance model version and its availability.
| Model | Open Source? | Weights Available? | License | Access Method |
|---|---|---|---|---|
| Seedance 2.0 | No | No | Proprietary | Dreamina, API |
| Seedance 1.5 Pro | No | No | Proprietary | Dreamina, API |
| Seedance 1.0 Pro | No | No | Proprietary | Dreamina, API |
| Seedance Lite | No | No | Proprietary | Dreamina, API |
| Wan 2.1 (Related) | Yes | HuggingFace | Apache 2.0 | Local, HuggingFace |
| Wan 2.6 (Related) | Yes | HuggingFace | Apache 2.0 | Local, HuggingFace |
What you can and cannot find on HuggingFace regarding Seedance models.
Understanding the licensing landscape for Seedance and related models.
All Seedance models are governed by Dreamina's Terms of Service. Key restrictions:
Wan 2.1 uses the permissive Apache 2.0 license. This means:
If you need an open-source AI video generation model that you can run locally, fine-tune, and use without API costs, these are your best options in February 2026.
| Model | Parameters | License | Quality | Min VRAM | Best For |
|---|---|---|---|---|---|
| Wan 2.1 (14B) | 14B | Apache 2.0 | Excellent | 24GB | Closest to Seedance quality |
| Wan 2.1 (1.3B) | 1.3B | Apache 2.0 | Good | 8GB | Low VRAM / rapid prototyping |
| Wan 2.6 | 14B+ | Apache 2.0 | Excellent | 24GB | Latest improvements over 2.1 |
| CogVideoX | 5B | Apache 2.0 | Good | 16GB | Balanced quality/resource usage |
| Mochi 1 | 10B | Apache 2.0 | Good | 24GB | Motion quality focus |
| LTX-Video | 2B | LTXV License | Moderate | 8GB | Fast generation, low resources |
For the closest experience to Seedance 2.0 with an open-source model, use Wan 2.1 (14B) or Wan 2.6. These models share research lineage with Seedance and produce the highest quality open-source video output as of February 2026. See our Run Locally guide for setup instructions.
Choosing between running an open-source model locally, using the Seedance API, or the Dreamina web platform.
| Factor | Open Source (Wan 2.1) | Seedance API | Dreamina Web |
|---|---|---|---|
| Quality | High (close to Seedance) | Highest (Seedance 2.0) | Highest (Seedance 2.0) |
| Cost | Free (hardware only) | $0.01-0.75/video | $0-9.60/month |
| Privacy | Full (local only) | Data sent to server | Data sent to server |
| Customization | Full (fine-tune, modify) | Prompt-only | Prompt-only |
| Setup Effort | High (GPU, Python, etc.) | Medium (API key) | None (browser) |
| Offline Use | Yes | No | No |
| Scaling | Limited by hardware | Unlimited (pay per use) | Credit-based |
Even though Seedance itself is proprietary, there is an active community building tools, integrations, and resources around it.
Community-maintained ComfyUI nodes that connect to the Seedance API. Open source on GitHub. Contributions welcome for new features and provider support. See our ComfyUI guide.
Open-source prompt collections optimized for Seedance, including this site. Most Seedance prompts also work well with Wan 2.1 and other video models due to shared prompt conventions.
Since Wan 2.1 is fully open source, contributing to its ecosystem benefits the entire AI video community. Fine-tuning datasets, LoRA adapters, and workflow tools are actively developed on GitHub and HuggingFace.
No. Seedance 2.0 is a proprietary model developed by ByteDance. The model weights, training code, and inference code are not publicly available. It can only be accessed through Dreamina (ByteDance's creative platform), the Little Skylark mobile app, or via API through BytePlus and third-party wrappers like fal.ai and Replicate.
No official Seedance model weights are on HuggingFace as of February 2026. However, the related Wan 2.1 and Wan 2.6 models (from ByteDance-affiliated research) are available on HuggingFace under the Apache 2.0 license. These are the closest open-source equivalents and share architectural similarities with Seedance.
Wan 2.1 (14B) is widely regarded as the best open-source AI video generation model as of early 2026. It produces high-quality output approaching Seedance 2.0's level, runs on consumer GPUs (24GB VRAM), and uses the permissive Apache 2.0 license. Wan 2.6 offers further improvements. For lower resource requirements, Wan 2.1 (1.3B) runs on as little as 8GB VRAM with reduced quality.
Depends on your plan. Dreamina's Free tier does not include commercial licensing — outputs are watermarked and for personal use only. The Standard plan (~$9.60/month) and Enterprise plans include full commercial licensing for all generated content. See our pricing page for details.
There is no official announcement from ByteDance about open-sourcing Seedance 2.0. ByteDance has historically released older model versions after newer ones launch (a common pattern in AI labs), so it is conceivable that earlier Seedance versions could eventually be open-sourced. However, this is speculation. We will update this page if any announcements are made.
No, Seedance models cannot be fine-tuned since the weights are not available. For custom fine-tuning, use open-source alternatives like Wan 2.1, which supports LoRA and full fine-tuning. If you need Seedance-quality output for a specific domain, the best approach is detailed prompt engineering using our prompt formula and prompt generator.
Use Seedance via API for top quality, or go open source with Wan 2.1 for full control.