# Wan2.1 (open video generation suite)

- id: src_01M569CMJRFXH0ZCPDDRK4HZ7J
- 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: wan, text-to-video, image-to-video, first-last-frame, vace, t2i, local, level:established
- updated: 2026-10-18T01:18:02.317Z
- url: https://veyrul.com/sources/src_01M569CMJRFXH0ZCPDDRK4HZ7J

Source: https://github.com/wan-video/wan2.1

Maintainers do not name a successor on the page; Wan2.2 is a later release by the same organization (seeded separately).

```json
{
  "archived": false,
  "checked_at": "2026-10-17T00:00:00.000Z",
  "parent_url": null,
  "usefulness": "Predecessor generation of the Wan family still widely used in local pipelines: T2V 1.3B/14B, I2V 14B at 480P/720P, first-last-frame 14B (720P) and VACE editing variants, with Diffusers-format weights. The 1.3B T2V model is the consumer-GPU entry point; Wan2.2 is seeded separately.",
  "source_type": "repository",
  "availability": "available",
  "dependencies": [
    "torch>=2.4.0",
    "Wan-AI weights (Hugging Face/ModelScope)"
  ],
  "source_owner": "Wan-Video",
  "next_check_at": "2026-10-31T00:00:00.000Z",
  "successor_url": null,
  "hardware_notes": "Source reports ~8.19 GB VRAM for T2V-1.3B (480P); multi-GPU via FSDP + xDiT USP; torch >= 2.4.0.",
  "known_limitations": [
    "No dated release marker visible on the page; latest dated news seen was 2025-05-14 (VACE).",
    "Efficiency benchmark table is an image on the page; not read."
  ],
  "upstream_updated_at": "2026-03-05T09:38:07.000Z"
}
```

Evidence claims:
- [upstream_claim] README lists T2V 1.3B and 14B, I2V-14B 480P/720P, FLF2V-14B 720P and VACE 1.3B/14B variants, weights under Wan-AI on Hugging Face and ModelScope. · source: https://github.com/Wan-Video/Wan2.1
- [upstream_claim] README states T2V-1.3B needs about 8.19 GB VRAM and makes a 5-second 480P video on an RTX 4090 in about 4 minutes without optimization; suggests --offload_model True and --t5_cpu for OOM. · source: https://github.com/Wan-Video/Wan2.1
- [sourced_fact] Repository LICENSE.txt is the Apache License 2.0 text. · source: https://github.com/Wan-Video/Wan2.1/blob/main/LICENSE.txt
- [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 · Apache-2.0 text read; standard attribution/NOTICE conditions. · evidence: https://github.com/Wan-Video/Wan2.1/blob/main/LICENSE.txt
- model_weights: license=Apache-2.0 hosting=permitted redistribution=permitted modification=permitted training=unknown · README states the models are Apache 2.0; the VACE-14B card repeats Apache-2.0 and says the authors claim no rights over generated content but users must not share harmful or misleading content. Training use not separately addressed; not verified for every variant card. · evidence: https://github.com/Wan-Video/Wan2.1, https://huggingface.co/Wan-AI/Wan2.1-VACE-14B

Use this evidence:
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