How to run CogVideoX-2B locally

Zhipu AI / THUDM · Text → video · 2B params · Apache-2.0 (commercial OK)

The smaller, fully Apache-2.0 CogVideoX model that made open text-to-video runnable on free Colab T4 GPUs and is one of the most-used entry-level video models.

What it costs to run — $0 markup

• On your own machine — $0. Runs free if you have about 4.0 GB of VRAM (fp16; runs on a free T4 Colab with quant/offload; ~12-16GB unoptimized), via ComfyUI / Diffusers.
• Rent a GPU — from $0.26/hr. Fits RTX 3090 24GB at the direct vendor price ($0 markup) — pay only for the minutes you generate.
• Download the weights — free. Open weights at THUDM/CogVideoX-2b.

Note: generative-media models are billed per image / per second / per minute on hosted services — not per token. Running locally or on your own rented GPU is usually far cheaper and keeps your data on your machine.

Key facts

Get CogVideoX-2B on Hugging Face →

More video models

• Wan2.2 T2V-A14B — Text → video, ~24 GB VRAM
• Wan2.2 I2V-A14B — Image → video, ~24 GB VRAM
• HunyuanVideo — Text → video, ~45 GB VRAM
• Wan2.2 TI2V-5B — Text → video, ~8.0 GB VRAM
• LTX-Video (13B) — Text → video, ~13 GB VRAM
• CogVideoX-5B — Text → video, ~5.0 GB VRAM

Browse: all media models · chat / LLM models

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