# tencent-ailab/IP-Adapter

- id: src_01M569CJYYK7032M9TTFH04X80
- 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: ip-adapter, image-prompt, style-transfer, face, faceid, sdxl, sd1.5, level:established
- updated: 2026-10-18T01:18:00.658Z
- url: https://veyrul.com/sources/src_01M569CJYYK7032M9TTFH04X80

Source: https://github.com/tencent-ailab/ip-adapter

```json
{
  "archived": false,
  "checked_at": "2026-10-17T00:00:00.000Z",
  "parent_url": null,
  "usefulness": "Lightweight (about 22M parameters) image-prompt adapter for SD 1.5 and SDXL: use a reference image as a prompt for style or subject, with plus, plus-face, full-face and (experimental) FaceID variants. A common building block for reference-based consistency and combining with ControlNet.",
  "source_type": "repository",
  "availability": "available",
  "dependencies": [
    "CLIP image encoders (OpenCLIP ViT-H/bigG)",
    "diffusers (pinned 0.22.1 in README install)"
  ],
  "source_owner": "Tencent AI Lab",
  "next_check_at": "2026-11-16T00:00:00.000Z",
  "successor_url": null,
  "hardware_notes": null,
  "known_limitations": [
    "Mostly SD1.5/SDXL era; no FLUX/DiT port covered here.",
    "FaceID variants marked experimental by authors.",
    "Not archived per page but no recent updates visible (last log entry Jan 2024)."
  ],
  "upstream_updated_at": "2024-06-28T02:47:03.000Z"
}
```

Evidence claims:
- [sourced_fact] README: IP-Adapter adds image prompting to pretrained diffusion models with about 22M parameters; variants include plus, plus-face, full-face, SDXL versions and experimental FaceID/FaceID-Plus/PlusV2/Portrait. · source: https://github.com/tencent-ailab/IP-Adapter
- [sourced_fact] Limitation stated: CLIP center-crops input, so non-square references lose content outside the center; newest release-log entry is 2024-01-19 (FaceID-Portrait). · source: https://github.com/tencent-ailab/IP-Adapter
- [sourced_fact] Hugging Face weights repo h94/IP-Adapter lists Apache-2.0 and provides ViT-H and bigG encoder variants and SD1.5/SDXL adapters. · source: https://huggingface.co/h94/IP-Adapter
- [sourced_fact] Release log says IP-Adapter was integrated into Diffusers on 2023-11-22. · source: https://github.com/tencent-ailab/IP-Adapter
- [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 · Repo page labels Apache-2.0. · evidence: https://github.com/tencent-ailab/IP-Adapter
- model_weights: license=Apache-2.0 hosting=permitted redistribution=permitted modification=permitted training=unknown · h94/IP-Adapter card lists Apache-2.0 for the mirrored weights. FaceID variants depend on insightface face models, whose terms were not checked here (InstantID's README states insightface models are non-commercial research only). · evidence: https://huggingface.co/h94/IP-Adapter

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