This Wan2.2 demo creates short videos from a scene description, with an optional image to guide generation.
ModelScope Text To Video Synthesis
Enter a text prompt to generate a video, with an optional seed setting for reproducibility.
About ModelScope Text To Video Synthesis
ModelScope Text To Video Synthesis is a Hugging Face Space published by saifytechnologies that takes a text prompt and generates a video from it. An optional seed value can be set so that results are reproducible.
Key features
- Generates a video from an entered text prompt
- Optional seed setting for reproducible output
- Hosted as a Docker-based Hugging Face Space
- Result returned as a video based on the input text
Best for: Users who want a browser-based text-to-video demo and value a seed option for repeatable results.
Good for
- Prompt-based generation with a seed field for reproducibility
- Accessible through a web browser on Hugging Face Spaces
Watch out for
- The homepage displayed a runtime error with exit code 1 when reviewed
- Container logs reported no space left on device while downloading model files
- Video generation could not be confirmed because the Space failed to start
ModelScope Text To Video Synthesis at a glance
- Category
- AI & Machine Learning › AI Video Generators
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
ModelScope Text To Video Synthesis alternatives
Tools and sites you could use instead, ranked by how closely they match.
This Wan2.2 demo generates short videos from a prompt, with options for image input, size, length, style, and LoRA modules.
This Hugging Face Space is listed as a story and video generation project.
This tool generates videos from a text description and selected duration.
Upload an image and choose settings such as duration and seed to generate a video.
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ModelScope Text To Video Synthesis FAQ
What do I provide to generate a video?
A text prompt. A seed can also be set if you want reproducible results.
What happens if I set a seed?
The seed is offered for reproducibility, so the same input can be repeated; whether output matches depends on the Space running successfully.
Is the Space working?
At the time of review the page showed a runtime error, exit code 1, with logs reporting no space left on device during model download.
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