Cogvideox
App in the BluixApps catalog
What it is
CogVideoX is THUDM's open-source text-to-video model family (China's Tsinghua University + Zhipu AI) — generates 6-10 second videos at 720×480 with strong temporal consistency and physics. Multiple model sizes (2B, 5B params) for different VRAM budgets. Apache 2.0 license.
One of the highest-quality open video models, the answer to closed-source Runway/Pika competitors.
What it's for
- Text-to-video — high-fidelity short videos from prompts
- Image-to-video — extend a still image into motion
- Video-to-video — re-style or extend existing video
- Marketing content at scale — campaign visuals, social ads
- Educational visuals — bring concepts to life
- Game/film previs — high-quality storyboard videos
Who it's for
- Studios producing high-quality video content
- AI agencies offering video generation to clients
- Researchers studying video generation
- Marketers generating campaign visuals
- Hosting providers offering premium video gen tier
Why teams pick CogVideoX over alternatives
- Apache 2.0 — fully open, commercial-friendly
- High-quality outputs — competitive with closed Pika/Runway for many use cases
- Multiple sizes: 2B (fast, 12GB), 5B (best quality, 24GB)
- THUDM backing — top Chinese research institution
- Active community — Diffusers integration first-class
- Multi-modal: text2vid, img2vid, vid2vid
Integrations
- HuggingFace Diffusers — first-class pipeline
- ComfyUI nodes — community wrappers (very active)
- Gradio UI included for web access
- API mode — Diffusers Python wrapper
- Pair with stills: Flux/SDXL → image → CogVideoX img2vid
- Pair with prompts: Ollama prompt-enhance → CogVideoX (better outputs)
Notable users & community
- 12k+ GitHub stars
- Powering production tools at multiple AI startups
- Featured prominently in HuggingFace video model leaderboards
- Active Chinese + English community
- Multiple Comm-driven LoRA / fine-tunes available
Tips & operations
- Model selection by VRAM:
- 2B: ~12 GB VRAM, ~2 min per video
- 5B: ~24 GB VRAM, ~6 min per video
- Prompts: English works best; detailed descriptions improve coherence
- Length: 6 seconds default, max 10 with current weights
- Resolution: 720×480 default; community fine-tunes for 1280×720
- First boot downloads ~20 GB for 5B model — pre-cache
- VAE upsample option for higher quality output
- GPU memory tricks: enable model CPU offload for 12 GB cards
What we ship in BluixApps
- Cloned
THUDM/CogVideorepo - pytorch/pytorch CUDA 12.4 base
- gradio_composite_demo launcher (richest UI)
- Persistent volumes: repo, models (~20 GB), outputs (MP4)
- Port 7863 mapped, listen 0.0.0.0
- Install report at
/root/bluixapps/cogvideox.txt - Notes for switching between 2B and 5B variants
- GPU pre-flight check via
bluixapps_ensure_nvidia_runtime - Backup hook covers models + outputs
Get this app — pick a BluixApps plan
Same catalog. Scaling tenant isolation, white-label and support tier.
| Tier | Tenants | Catalog | Support | White-label | Monthly | |
|---|---|---|---|---|---|---|
| Stacks | 1 | 19 curated stacks | Standard | — | $19/mo | DetailDeploy |
| Starter | 10 | Full catalog | Standard | +$15–25/mo | $49/mo | DetailDeploy |
| Pro | 25 | Full catalog | Priority bugfix | +$15–25/mo | $149/mo | DetailDeploy |
| Growth | 100 | Full catalog | Priority bugfix | +$15–25/mo | $349/mo | DetailDeploy |
| Scale | 500 | Full catalog | 7-day window | +$15–25/mo | $799/mo | DetailDeploy |
| Enterprise | Unlimited | Full catalog | Priority 7-day | Bundled | $1,499/mo | DetailDeploy |