README.md

metadata

title: My Motion Video AI
emoji: 🎬
colorFrom: purple
colorTo: blue
sdk: gradio
app_file: app.py
pinned: false
models:
  - Lightricks/LTX-Video-0.9.5

🎬 My Motion Video AI

Your own AI video generator — runs 100% in the cloud on Hugging Face GPUs. Your old laptop only needs a browser. No local install, no local GPU, no cost to deploy.

• Model: LTX-Video 0.9.5 (2B) (open source, by Lightricks)
• Stack: Gradio web UI + Diffusers
• Hosting: Hugging Face Space with ZeroGPU (free GPU in the cloud)
• Features: Text-to-Video and Image-to-Video (animate a logo or title card)

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How to deploy it (free, ~20 minutes)

1. Create a Hugging Face account → https://huggingface.co/join (verify your email so you're in "good standing" and can host ZeroGPU Spaces)

2. Create a new Space:

   • Go to https://huggingface.co/new-space
   • Name it e.g. my-motion-video-ai
   • License: any (Apache 2.0 is fine)
   • SDK: Gradio
   • Click Create Space, then in Settings → Hardware select ZeroGPU ⚠️ (free GPU). The README also requests it via hardware: {accelerator: zero-gpu} when you push these files.

   Note: ZeroGPU hosting needs an account in good standing — verified email and account older than 30 days. If you just created the account, it may take a few weeks before you can host a ZeroGPU Space; until then you can still use other public ZeroGPU Spaces, or ask me to point you at ready-made ones.

3. Upload these files. Either:

   • Use the Files tab → "Add file" → upload app.py, requirements.txt, README.md (replace the auto-generated README), or
   • Push from your laptop with git:

     git init
     git add .
     git commit -m "initial"
     git remote add origin https://huggingface.co/spaces/<your-username>/<space-name>
     git push --force
     

4. Wait for the build (the model is downloaded automatically at build time thanks to the models: key in this README). Then open the app — it's live at https://huggingface.co/spaces/<your-username>/<space-name>.

That's it. The app is your AI, hosted on their GPU, reachable from any browser, on any device, forever (as long as the Space stays public/free).

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⚠️ The real limits (read this — it saves disappointment)

Account	Free GPU per day	Note
No account	2 minutes	Low queue priority
Free account	5 minutes	Resets 24h after first use each day
PRO ($9/mo)	40 minutes + credits	Highest queue priority

(Data from the official ZeroGPU docs, Aug 2026. Free accounts can host up to 2 ZeroGPU Spaces.)

• ZeroGPU bills each request by its reserved duration (x1.5 on current hardware), not the exact seconds used. The app reserves just enough for one clip, so a free account realistically gets ~2–4 videos per day (short, low-resolution clips cost less and stretch it further).
• Queue priority is based on remaining quota — use your quota early in the day.
• There is no unlimited free tier anywhere for video generation. GPUs are expensive; that's physics, not a scam.

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How to use it well

Prompting tips (motion graphics)

• Describe the scene and the motion: "glossy chrome sphere rotating slowly, volumetric lighting, dark studio".
• Clip length: the model's max is ~10s (257 frames). Drag the Frames slider up for longer clips (more frames = more GPU quota per clip).
• Need a longer video? Generate several short clips with matching prompts (reuse the seed for visual consistency) and stitch them with any free video editor — far more reliable than forcing one long generation.
• More inference steps (40–50) = better quality but slower and more quota.
• Reuse a seed to reproduce a video and iterate on it.

Kinetic typography / logos (the pro move)

Text rendering in video models is unreliable. Instead:

1. Generate the title/logo as an image (free tools: Stable Diffusion in a free Space, or Google AI Studio for images).
2. Switch the app to Image to Video, upload it, and prompt for motion: "logo rotating in 3D, smooth, reflective floor, cinematic lighting".

Sample prompts

• 3D-style: Cinematic 3D render, glossy chrome sphere rotating on a dark studio background, volumetric lighting, smooth slow motion, octane render, 8k
• Abstract loop: Seamless abstract loop, flowing liquid metal, iridescent gradient colors, dark background, smooth hypnotic motion
• Kinetic typography: Kinetic typography, the word MOTION exploding into view letter by letter, bold neon glowing letters, dark background, energetic dynamic camera

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Phase 2: training it on YOUR style (optional, later)

"Training your own" realistically means fine-tuning / LoRA on top of an existing open model. For LTX-Video, the official trainer is ltx-video (ltx-trainer).

• What you need: ~10–50 of your own motion-graphics clips, a few hours of rented GPU, and some patience.
• Cheapest real path: rent a GPU for a few hours (~$0.5–2/hr at providers like RunPod/Vast.ai; Google Colab free is too slow/limited for this).
• Cost honesty: fine-tuning a video model from scratch costs tens of thousands of dollars — nobody does that. Fine-tuning on top of LTX-Video or Wan 2.2 is the legitimate, achievable version.
• Do Phase 1 first. The base model already handles 3D-style shots, abstract loops, and kinetic typography — you may never need Phase 2.

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FAQ

My laptop is old / low spec. Does that matter? No. The app runs on Hugging Face's GPU. Your laptop just opens a web page.

Is this really free? Deploying and running the Space is free. Generation is limited by the 5 min/day free GPU quota above.

I want "unlimited". Then you'll pay eventually — the cheapest legit path is HF PRO ($9/mo, 40 min GPU/day + credits) or renting a GPU for batch jobs. Anyone promising unlimited free video AI is either lying or harvesting your data.

Can others use my app? Yes — if the Space is public, anyone with the link can use it (consuming your daily quota). Make it private if it's just for you.