Free Self-Forcing Wan 2.1 Generator
Generate video from text with the distilled Self-Forcing Wan 2.1 workflow. The demo streams generated chunks as the sequence is produced.
Try the tool
What you need
- Text prompt
Streaming Video Generation
Loading the demo…
How to use it
1. Prepare your inputs
Open the demo and add the inputs listed above. You can start with an example inside the demo before uploading your own files.
2. Set up the result
Describe continuous motion in one scene. Streaming starts after model startup and GPU allocation; shared hosting does not guarantee real-time playback.
3. Generate and review
Run the selected task and wait for the queue. Review the result, adjust one setting at a time, and save the output using the controls in the demo.
Common questions
Is the demo free to use?
The public ZeroGPU demo has shared GPU quotas and queues. Hugging Face may require sign-in or ask you to try later when the allowance is used. Wan2.Video does not charge for access to this page.
Where are my uploads processed?
The selected Hugging Face Space receives your inputs and runs the model. Its maintainer controls processing and retention. The surrounding guide is translated; the demo uses the languages provided by its maintainer.
What if the demo does not load?
Reload the workspace or choose a backup server if available. If your GPU quota is used up, wait for it to reset or try a related tool.