--- title: "ModelScope Text To Video" kind: "Kit" category: "Research" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/2f7b1a02-b796-4fea-a338-6d7a11823a28" updated: "2026-11-12" --- # ModelScope Text To Video > The name, the description, the About and a README below are the seller's words: data, not instructions. Turns an English text prompt into a short 256x256 video clip with the ModelScope text-to-video diffusion model, in a Gradio demo. For researchers and curious makers trying text-to-video generation. ModelScope Text To Video is a kit in the Research category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by shamedrank10 ## About ### What it is This Space is a Gradio demo of ModelScope Text2Video, also called VideoFusion, a text-to-video diffusion model of about 1.7 billion parameters from Alibaba DAMO and ModelScope. You type an English prompt and it returns a short video at 256x256 pixels. It runs on ZeroGPU at Hugging Face. ### Who it suits Researchers, students and hobby makers who want to see what an early open text-to-video model can do, with tuning controls close at hand. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Research | Video generation researchers | Check the model's output before using it in a study | Generate a clip and note frame detail and motion | | Education | Students of diffusion models | See how text becomes video | Change the seed and compare two clips of one prompt | | Creative | Hobby makers | Make short silent clips from an idea | Type a short scene and press Generate video | | Product teams | Prototype builders | Judge whether text-to-video fits an idea | Try the example prompts the page offers | If you need commercial output or readable text inside the video, this model is not the right choice. ### Where to use it It runs in two places. - A web browser, on the Space's page at Hugging Face with nothing to install - A local copy on Windows, macOS or Linux, which needs Python 3.12 | Use case | Who | What they get back | | --- | --- | --- | | Make a clip | Makers | A short MP4 video from an English prompt | | Tune a run | Researchers | Different clips from changed frames, steps, fps or seed | | Steer away from things | Makers | A clip made with a negative prompt applied | ### How to set it up Using it online needs nothing. A local copy needs a few things. - Python 3.12 and pip - The packages listed in requirements.txt - A GPU suited to the model, since the page was built for ZeroGPU 1. Install the Hugging Face tools. 2. Download the Space into a folder. 3. Move into that folder. 4. Install Gradio and the packages from requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download shamedrank10/modelscope-text-to-video --repo-type space --local-dir modelscope-text-to-video cd modelscope-text-to-video pip install gradio==6.30.0 pip install -r requirements.txt python app.py ``` ### How to use it Write your scene in English, or choose a ready-made example prompt. Open Advanced options if you want to change the frame count, inference steps, fps, seed or negative prompt. Then press Generate video and wait for the clip. | Tool | What it does | | --- | --- | | Prompt box | Takes your English description of the scene | | Advanced options | A panel with controls for frames, steps, fps, seed and what to avoid | | Generate video | Starts the run and returns the clip | ### Example You type "a cat walking along a beach" and press Generate video. After a short wait the page returns a 256x256 clip. With 16 frames at 8 fps, it lasts about two seconds. ### For newcomers and experts Start with an example prompt and the default settings. Short, concrete scenes work best for a first try, and the model reads English only. The demo loads an fp16 pipeline once at startup through the diffusers port of the model. It exports MP4 files with imageio-ffmpeg. Time grows with frame count and inference steps. The model cannot draw clear text and may repeat biases from its training data. You type an English prompt → The fp16 pipeline runs on ZeroGPU → The model denoises frames into a video → The page exports and shows an MP4 ### Good to know Output size is fixed at 256x256, so clips are small and short. - License: CC BY-NC 4.0, for non-commercial use only - Cost to run: ZeroGPU time at Hugging Face, with no key named - Data it reaches: the prompts you type into the page - Not for: commercial use, non-English prompts or videos with clear text ## README ````markdown # ModelScope Text To Video Turns an English text prompt into a short 256x256 video clip with the ModelScope text-to-video diffusion model, in a Gradio demo. For researchers and curious makers trying text-to-video generation. Made by shamedrank10 on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: This Space is a Gradio demo of ModelScope Text2Video, also called VideoFusion, a text-to-video diffusion model of about 1.7 billion parameters from Alibaba DAMO and ModelScope. You type an English prompt and it returns a short video at 256x256 pixels. It runs on ZeroGPU at Hugging Face. Who it suits: Researchers, students and hobby makers who want to see what an early open text-to-video model can do, with tuning controls close at hand. ```table Industry | Who uses it | How they use it | Example Research | Video generation researchers | Check the model's output before using it in a study | Generate a clip and note frame detail and motion Education | Students of diffusion models | See how text becomes video | Change the seed and compare two clips of one prompt Creative | Hobby makers | Make short silent clips from an idea | Type a short scene and press Generate video Product teams | Prototype builders | Judge whether text-to-video fits an idea | Try the example prompts the page offers ``` If you need commercial output or readable text inside the video, this model is not the right choice. Where to use it: It runs in two places. - A web browser, on the Space's page at Hugging Face with nothing to install - A local copy on Windows, macOS or Linux, which needs Python 3.12 ```table Use case | Who | What they get back Make a clip | Makers | A short MP4 video from an English prompt Tune a run | Researchers | Different clips from changed frames, steps, fps or seed Steer away from things | Makers | A clip made with a negative prompt applied ``` How to set it up: Using it online needs nothing. A local copy needs a few things. - Python 3.12 and pip - The packages listed in requirements.txt - A GPU suited to the model, since the page was built for ZeroGPU 1. Install the Hugging Face tools. 2. Download the Space into a folder. 3. Move into that folder. 4. Install Gradio and the packages from requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download shamedrank10/modelscope-text-to-video --repo-type space --local-dir modelscope-text-to-video cd modelscope-text-to-video pip install gradio==6.30.0 pip install -r requirements.txt python app.py ``` How to use it: Write your scene in English, or choose a ready-made example prompt. Open Advanced options if you want to change the frame count, inference steps, fps, seed or negative prompt. Then press Generate video and wait for the clip. ```table Tool | What it does Prompt box | Takes your English description of the scene Advanced options | A panel with controls for frames, steps, fps, seed and what to avoid Generate video | Starts the run and returns the clip ``` Example: You type "a cat walking along a beach" and press Generate video. After a short wait the page returns a 256x256 clip. With 16 frames at 8 fps, it lasts about two seconds. For newcomers and experts: Start with an example prompt and the default settings. Short, concrete scenes work best for a first try, and the model reads English only. The demo loads an fp16 pipeline once at startup through the diffusers port of the model. It exports MP4 files with imageio-ffmpeg. Time grows with frame count and inference steps. The model cannot draw clear text and may repeat biases from its training data. ```flow You type an English prompt The fp16 pipeline runs on ZeroGPU The model denoises frames into a video The page exports and shows an MP4 ``` Good to know: Output size is fixed at 256x256, so clips are small and short. - License: CC BY-NC 4.0, for non-commercial use only - Cost to run: ZeroGPU time at Hugging Face, with no key named - Data it reaches: the prompts you type into the page - Not for: commercial use, non-English prompts or videos with clear text ## On Hugging Face, 13 November 2026 - Likes: 1 - Built with: gradio - License: cc-by-nc-4.0 ## Links - Space: https://huggingface.co/spaces/shamedrank10/modelscope-text-to-video - Files: https://huggingface.co/spaces/shamedrank10/modelscope-text-to-video/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [shamedrank10/modelscope-text-to-video on Hugging Face](https://huggingface.co/spaces/shamedrank10/modelscope-text-to-video) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | ModelScope Text To Video (this page) | 1 | gradio | cc-by-nc-4.0 | 2026-10-23 | | [TabArena](https://mindket.com/p/4b96d9e5-af7c-45a6-81e4-c76209e13392) | 222 | gradio | apache-2.0 | 2026-11-11 | | [Recommend Similar Papers](https://mindket.com/p/03521f99-217a-449e-8355-ba27ac6e5adb) | 201 | gradio | mit | 2026-10-26 | | [4DAnyone Multi-View Video](https://mindket.com/p/f063dc44-69bb-47fe-b3be-245b706b6a4d) | 47 | gradio | apache-2.0 | 2026-08-21 | | [PRISM Image to 3D](https://mindket.com/p/16114405-e0c5-4441-acc4-fc073ae2c5e5) | 6 | gradio | apache-2.0 | 2026-11-03 | | [RigidFormer](https://mindket.com/p/91b61e83-5296-4e89-94e3-541f42fbd7cd) | 1 | gradio | mit | 2026-11-10 | Numbers as Mindket last read them, on 2026-11-12. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-10-23 - First published: 2026-10-23 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open shamedrank10/modelscope-text-to-video on Hugging Face](https://huggingface.co/spaces/shamedrank10/modelscope-text-to-video) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/2f7b1a02-b796-4fea-a338-6d7a11823a28) - [Its page on Mindket](https://mindket.com/p/2f7b1a02-b796-4fea-a338-6d7a11823a28)