# 🆓 100% Free Video Generation Alternatives ## Best Free Options (No Cost!) ### ✅ Option 1: Google Colab (Recommended - Completely Free!) **Pros:** - ✅ 100% Free - ✅ Free GPU access - ✅ No credit card needed - ✅ Run powerful models **How to Use:** 1. **Open this Colab notebook**: - CogVideoX: https://colab.research.google.com/github/camenduru/CogVideoX-colab - Zeroscope: https://colab.research.google.com/github/camenduru/text-to-video-synthesis-colab 2. **Click "Run All"** (play button) 3. **Wait for setup** (2-3 minutes) 4. **Enter your prompt** in the notebook 5. **Generate video** - runs on Google's free GPU! 6. **Download the video** **Models Available on Colab:** - CogVideoX-5B - CogVideoX-2B - Zeroscope V2 XL - AnimateDiff - And more! --- ### ✅ Option 2: Hugging Face Inference API (Free Tier) **Pros:** - ✅ Free tier available - ✅ No credit card for basic use - ✅ Official API - ✅ Reliable **Setup:** 1. **Get Free HF Token:** - Go to https://huggingface.co/settings/tokens - Create a free account - Generate a token (free tier) 2. **Use Inference API** (free quota): ```python from huggingface_hub import InferenceClient client = InferenceClient(token="your_free_token") video = client.text_to_video( "A dog running in a park", model="THUDM/CogVideoX-2b" ) ``` **Free Quota:** - Limited requests per month - Slower than paid - But completely free! --- ### ✅ Option 3: Local Generation (Your Own Computer) **If you have a GPU (NVIDIA):** 1. **Install dependencies:** ```bash pip install diffusers transformers accelerate ``` 2. **Run locally:** ```python from diffusers import CogVideoXPipeline import torch pipe = CogVideoXPipeline.from_pretrained( "THUDM/CogVideoX-2b", torch_dtype=torch.float16 ) pipe.to("cuda") video = pipe("A dog running in a park").frames[0] ``` **Pros:** - ✅ Completely free - ✅ Unlimited generations - ✅ No API limits **Cons:** - ❌ Requires good GPU (8GB+ VRAM) - ❌ Slower on CPU --- ### ✅ Option 4: Free Hugging Face Spaces (When Available) **These spaces are free but may be slow/sleeping:** 1. **CogVideoX-2B**: https://huggingface.co/spaces/THUDM/CogVideoX-2B 2. **CogVideoX-5B**: https://huggingface.co/spaces/zai-org/CogVideoX-5B-Space 3. **Stable Video Diffusion**: https://huggingface.co/spaces/multimodalart/stable-video-diffusion **How to use:** - Visit the space - Enter prompt - Click generate - Wait (may take time if space is sleeping) - Download video --- ## 🎯 Recommended Free Workflow ### For Best Results (100% Free): 1. **Use Google Colab** for high-quality generations - Best quality - Free GPU - No limits 2. **Use HF Spaces** for quick tests - Instant (when awake) - No setup needed - May be slow 3. **Use Local** if you have GPU - Unlimited - Private - Fast --- ## 🚀 Setting Up Google Colab Backend I can create a backend that connects to your own Google Colab instance! **How it works:** 1. Run a Colab notebook (free GPU) 2. Expose it via ngrok (free) 3. Connect your frontend to it 4. Generate unlimited videos! **Want me to set this up?** --- ## 📊 Comparison | Method | Cost | Speed | Quality | Limits | |--------|------|-------|---------|--------| | Google Colab | FREE | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | Session time | | HF Spaces | FREE | ⭐⭐ | ⭐⭐⭐⭐ | May sleep | | HF Inference API | FREE | ⭐⭐⭐ | ⭐⭐⭐⭐ | Monthly quota | | Local GPU | FREE | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | None | | Replicate | $0.10/video | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | Pay per use | --- ## 🎬 Quick Start: Google Colab (5 minutes) 1. **Open**: https://colab.research.google.com/github/camenduru/CogVideoX-colab 2. **Click**: Runtime → Run all 3. **Wait**: 2-3 minutes for setup 4. **Scroll down** to the generation cell 5. **Enter your prompt** 6. **Run the cell** 7. **Download your video!** **That's it! Completely free, no credit card, unlimited use!** 🎉 --- ## 💡 Best Free Option for Your App I recommend creating a **Google Colab + ngrok** backend: 1. Run model on Colab (free GPU) 2. Expose via ngrok (free tunnel) 3. Connect your frontend 4. Generate unlimited videos! **Want me to create this setup for you?** It's 100% free and will work with your existing frontend!