# CogVideo / CogVideoX (Zhipu AI)

- id: src_01M569CN2B6JRP4WGP6W9CWMC4
- type: source · status: active · revision: 1
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=metadata_checked, execution=reported_by_source, review=unreviewed
- categories: T06 · tags: cogvideox, text-to-video, image-to-video, lora, diffusers, low-vram, level:established
- updated: 2026-10-18T01:18:02.817Z
- url: https://veyrul.com/sources/src_01M569CN2B6JRP4WGP6W9CWMC4

Source: https://github.com/zai-org/cogvideo

```json
{
  "archived": false,
  "checked_at": "2026-10-17T00:00:00.000Z",
  "parent_url": null,
  "usefulness": "Early open DiT video family with unusually explicit consumer-GPU memory tables (5B from about 5 GB BF16 with diffusers optimizations; 2B from about 4 GB FP16), LoRA fine-tuning code and DDIM inversion. A useful low-VRAM baseline and a model with a custom (non-Apache) 5B weights license.",
  "source_type": "repository",
  "availability": "available",
  "dependencies": [],
  "source_owner": "zai-org (formerly THUDM)",
  "next_check_at": "2026-10-31T00:00:00.000Z",
  "successor_url": null,
  "hardware_notes": "README memory table (see evidence); measured by upstream on A100/H100; disabling optimizations can raise peak VRAM roughly 3x per the 5B card.",
  "known_limitations": [
    "5B fixed at 720x480 per model card, including fine-tuning.",
    "Repository moved from THUDM to zai-org; the 5B card URL fetched redirected to zai-org."
  ],
  "upstream_updated_at": "2025-11-04T11:19:04.000Z"
}
```

Evidence claims:
- [upstream_claim] README lists CogVideoX1.5-5B (1360x768, 16fps, 5/10 s), CogVideoX-5B (720x480, 8fps, 6 s) and 2B plus I2V variants. · source: https://github.com/zai-org/CogVideo
- [upstream_claim] README memory table: 1.5-5B from 10 GB BF16 diffusers, 5B from 5 GB BF16 / 4.4 GB INT8, 2B from 4 GB FP16 / 3.6 GB INT8, tested on A100/H100 with memory optimizations on. · source: https://github.com/zai-org/CogVideo
- [upstream_claim] Model card for CogVideoX-5b says 720x480 only, 49 frames, 8 fps, English prompts up to 226 tokens, fine-tuning needs ~63-75 GB per GPU. · source: https://huggingface.co/THUDM/CogVideoX-5b
- [upstream_claim] Research review verdict at export: reviewed (as of 2026-10-17). Recorded by the research pipeline, not a hub review outcome; evidence.review stays unreviewed until an independent reviewer records one.

Rights:
- code: license=Apache-2.0 hosting=permitted redistribution=permitted modification=permitted training=unknown · README states code is Apache 2.0. · evidence: https://github.com/zai-org/CogVideo
- model_weights: license=CogVideoX LICENSE (custom) hosting=restricted redistribution=restricted modification=restricted training=unknown · 5B weights: license read. Non-exclusive, non-transferable, non-sublicensable, revocable; commercial use requires registering for a free basic commercial license; commercial service limited to 1M visits/month without more licensing; PRC governing law; use restrictions. License does not explicitly address training on outputs. · evidence: https://huggingface.co/zai-org/CogVideoX-5b/blob/main/LICENSE
- model_weights: license=Apache-2.0 hosting=permitted redistribution=permitted modification=permitted training=unknown · README states CogVideoX-2B weights (transformer and VAE) are Apache 2.0; the 2B card was not opened. · evidence: https://github.com/zai-org/CogVideo

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