# TencentARC/PhotoMaker

- id: src_01M569CJZHKTV8D40HRAKT3E8W
- 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: photomaker, identity, stacked-id-embedding, sdxl, lora-compatible, cvpr-2024, level:established
- updated: 2026-10-18T01:18:00.678Z
- url: https://veyrul.com/sources/src_01M569CJZHKTV8D40HRAKT3E8W

Source: https://github.com/tencentarc/photomaker

```json
{
  "archived": false,
  "checked_at": "2026-10-17T00:00:00.000Z",
  "parent_url": null,
  "usefulness": "CVPR 2024 method that customises realistic human photos from several reference images via stacked ID embeddings without per-subject LoRA training and compatible with community LoRAs. V2 (July 2024) improves ID fidelity. Useful contrast to single-image methods: README notes fidelity improves with more input photos.",
  "source_type": "repository",
  "availability": "available",
  "dependencies": [
    "SDXL base"
  ],
  "source_owner": "Tencent ARC Lab",
  "next_check_at": "2026-10-31T00:00:00.000Z",
  "successor_url": null,
  "hardware_notes": "Sourced: at least 11GB GPU memory.",
  "known_limitations": [
    "SDXL-era; no FLUX port covered.",
    "Needs bfloat16 support or code change for float16."
  ],
  "upstream_updated_at": "2024-10-31T09:35:15.000Z"
}
```

Evidence claims:
- [sourced_fact] README: stacked ID embedding customization needing no additional LoRA training; V2 released 22 July 2024 with better ID fidelity and compatibility with V1 plugins. · source: https://github.com/TencentARC/PhotoMaker
- [sourced_fact] README: requires at least 11GB GPU memory; fidelity improves with more input photos; fewer sampling steps can reduce it; stylized outputs may look too realistic. · source: https://github.com/TencentARC/PhotoMaker
- [sourced_fact] LICENSE: Apache License 2.0 'except for the third-party components listed below'. · source: https://raw.githubusercontent.com/TencentARC/PhotoMaker/main/LICENSE
- [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 with listed third-party exceptions (exceptions not read). · evidence: https://raw.githubusercontent.com/TencentARC/PhotoMaker/main/LICENSE
- model_weights: license=unknown hosting=unknown redistribution=unknown modification=unknown training=unknown · README gives no separate weights terms; V1 weights are on Hugging Face (card not fetched). Face-related dependencies not checked. · evidence: https://github.com/TencentARC/PhotoMaker

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