# InstantX/InstantID

- id: src_01M569CCNGKMCD6AK7V59RBHVT
- type: source · status: active · revision: 1
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=metadata_checked, execution=not_run, review=unreviewed
- categories: T05 · tags: instantid, identity-preservation, face, sdxl, tuning-free, controlnet, ip-adapter, level:established
- updated: 2026-10-18T01:17:54.212Z
- url: https://veyrul.com/sources/src_01M569CCNGKMCD6AK7V59RBHVT

Source: https://github.com/instantx-research/instantid

L07 2026-10-17 review_status=disputed: GitHub README says released InstantID checkpoints and insightface face models are research-only while the HF card lists apache-2.0 (collector flagged).

```json
{
  "archived": false,
  "checked_at": "2026-10-17T00:00:00.000Z",
  "parent_url": null,
  "usefulness": "Tuning-free single-image identity preservation for SDXL combining a face-embedding IP-Adapter with a landmark ControlNet. Strong example of the license-stack problem: code is Apache-2.0, but README ties its face models and checkpoints to research-only terms while the Hugging Face weights card says Apache-2.0.",
  "source_type": "repository",
  "availability": "available",
  "dependencies": [
    "insightface (antelopev2, manual download)",
    "SDXL base",
    "diffusers",
    "opencv-python"
  ],
  "source_owner": "InstantX Team (Xiaohongshu / Peking University)",
  "next_check_at": "2026-11-16T00:00:00.000Z",
  "successor_url": null,
  "hardware_notes": "Examples assume a CUDA GPU; CPU offload suggested; no VRAM figure.",
  "known_limitations": [
    "Only largest face used; multi-person unsupported.",
    "Over-saturation may require lowering ip_adapter_scale.",
    "Weights licensing contradictory between GitHub and Hugging Face."
  ],
  "upstream_updated_at": "2024-07-18T04:12:48.000Z"
}
```

Evidence claims:
- [sourced_fact] README: tuning-free ID-preserving generation from a single face image on SDXL; arXiv 2401.07519; supports only the largest face as landmark reference (no multi-person). · source: https://github.com/instantX-research/InstantID
- [sourced_fact] README disclaimer: code under Apache License for academic and commercial use, but insightface face models are for non-commercial research only and the released InstantID checkpoints are 'for research purposes only'. · source: https://github.com/instantX-research/InstantID
- [sourced_fact] Hugging Face InstantX/InstantID card metadata lists license apache-2.0 and no research-only statement on that page, conflicting with the GitHub disclaimer. · source: https://huggingface.co/InstantX/InstantID
- [sourced_fact] Latest dated release note is 2024/07/18 (Kolors-based version still training, weights not released). · source: https://github.com/instantX-research/InstantID
- [upstream_claim] Research review verdict at export: disputed (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 disclaimer states Apache for academic and commercial use of the code. · evidence: https://github.com/instantX-research/InstantID
- model_weights: license=Apache-2.0 hosting=restricted redistribution=restricted modification=restricted training=unknown · Conflicting evidence: HF card metadata says apache-2.0; the GitHub README says the checkpoints are research-only. Treat as restricted until the owner clarifies. · evidence: https://huggingface.co/InstantX/InstantID, https://github.com/instantX-research/InstantID
- other: license=unknown hosting=restricted redistribution=restricted modification=restricted training=unknown · insightface (antelopev2) face models: README says non-commercial research purposes only. Example base model YamerMIX_v8 from Civitai has an undescribed license. · evidence: https://github.com/instantX-research/InstantID

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