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## Best Free Options (No Cost!)
### β
Option 1: Google Colab (Recommended - Completely Free!)
**Pros:**
- β
100% Free
- β
Free GPU access
- β
No credit card needed
- β
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!
---
### β
Option 2: Hugging Face Inference API (Free Tier)
**Pros:**
- β
Free tier available
- β
No credit card for basic use
- β
Official API
- β
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!
---
### β
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:**
- β
Completely free
- β
Unlimited generations
- β
No API limits
**Cons:**
- β Requires good GPU (8GB+ VRAM)
- β Slower on CPU
---
### β
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
---
## π― 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
---
## π 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?**
---
## π Comparison
| Method | Cost | Speed | Quality | Limits |
|--------|------|-------|---------|--------|
| Google Colab | FREE | ββββ | βββββ | Session time |
| HF Spaces | FREE | ββ | ββββ | May sleep |
| HF Inference API | FREE | βββ | ββββ | Monthly quota |
| Local GPU | FREE | βββββ | βββββ | None |
| Replicate | $0.10/video | βββββ | βββββ | Pay per use |
---
## π¬ Quick Start: Google Colab (5 minutes)
1. **Open**: https://colab.research.google.com/github/camenduru/CogVideoX-colab
2. **Click**: Runtime β 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!** π
---
## π‘ 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!
|