CogVideoX-5B
Best Valueresearchfine-tuningZhipu AI / THUDM · 3D Expert Diffusion Transformer · v5BverifiedVerified
—/sec
starting from, on FAL.ai
Resolution
720p
Duration
6–10s
Providers
2
API Pricing
Why CogVideoX-5B?
thumb_upStrengths
- Extremely affordable API pricing — $0.20 per video on FAL.ai, lowest among major models
- Open source with full model weights and LoRA fine-tuning support for domain customization
- Trained on 35M video clips — strong foundational knowledge of real-world motion patterns
- 3D Expert Transformer with spatiotemporal attention produces coherent motion across frames
- Low VRAM requirement (~21GB with optimizations) makes self-hosting accessible on consumer GPUs
infoLimitations
- ELO of 785 places it near the bottom of the Arena — significantly behind premium models
- Native 720x480 resolution is substandard — far below the 1080p+ of modern competitors
- Default 8 fps produces choppy output; requires RIFE interpolation for smoother playback
- Custom CogVideoX license restricts some commercial use cases — not Apache 2.0
- No audio, lip-sync, camera control, or image-to-video on the base model (I2V variant exists separately)
auto_fix_highPrompt Guide
- 1Use long, descriptive prompts of 50-100 words — CogVideoX is trained on detailed captions and responds best to comprehensive descriptions.
- 2Pre-process prompts with an LLM like GPT-4 or GLM-4 for augmentation — the official recommendation for optimal quality.
- 3Include precise environmental context: lighting conditions, time of day, weather, and setting details.
- 4Specify camera behavior explicitly: 'slow tracking shot,' 'static wide angle,' 'close-up with shallow depth of field.'
- 5Use negative prompts to refine output: 'blurry, distorted, low quality, watermark, text overlay' helps avoid common artifacts.
✓ Do this
- Use LoRA fine-tuning to adapt the model to specific visual styles or domains
- Set a fixed seed for deterministic, reproducible generation when iterating
- Adjust guidance scale (CFG) between 5-10 for best quality-diversity tradeoff (default 7)
- Enable RIFE interpolation for smoother motion at higher frame rates
- English prompts only — max 226 tokens per prompt
✗ Avoid this
- Native output at 720x480 is below HD — requires upscaling for production use
- Default 8 fps produces visibly choppy motion; 16 fps available in v1.5 variant
- English-only prompt support — no multilingual capabilities
- Prompt length capped at 226 tokens — complex scenes need concise description
- Custom CogVideoX license — check terms before commercial deployment
- No audio generation — video-only output
Example Prompts
“A detailed close-up of a steaming cup of coffee on a wooden table in a cozy library. Bookshelves line the walls in the background, soft warm light from a nearby desk lamp. The steam rises slowly and curls in the still air. Shallow depth of field, cinematic color grading with warm amber tones. Static camera, gentle ambient atmosphere.”
“A young woman with long dark hair walks along an empty beach at sunset. The ocean waves roll gently behind her, golden light illuminating her silhouette. She wears a flowing white dress that moves with the breeze. Camera follows her in a slow tracking shot from the side. Cinematic, dreamlike quality, warm color palette with deep oranges and purples in the sky.”
“An astronaut floats weightlessly inside a space station, sunlight streaming through a circular window showing Earth below. Equipment and cables drift around the cabin. The astronaut reaches out to touch the window glass. Zero gravity physics, hyper-realistic lighting, detailed textures on the spacesuit. Static wide-angle shot capturing the full interior.”
Based on the official prompt guide →
FAQexpand_more
Where can I use CogVideoX-5B?
Via API on FAL.ai and Replicate.
How do I get good results with CogVideoX-5B?
Use long, descriptive prompts of 50-100 words — CogVideoX is trained on detailed captions and responds best to comprehensive descriptions. See the prompt guide below.