Spaces:
Running on Zero
Running on Zero
| 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)](https://huggingface.co/Lightricks/LTX-Video-0.9.5) (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) | |
| --- | |
| ## 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: | |
| ```bash | |
| 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). | |
| --- | |
| ## ⚠️ 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](https://huggingface.co/docs/hub/en/spaces-zerogpu), | |
| 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. | |
| --- | |
| ## 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` | |
| --- | |
| ## 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)](https://github.com/Lightricks/ltx-video). | |
| - **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. | |
| --- | |
| ## 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. | |