Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add artokun/comfyui-mcp --skill krea2-identity-editgit clone --depth 1 https://github.com/artokun/comfyui-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/artokun/comfyui-mcp/krea2-identity-edit)<a href="https://agentmods.dev/skills/artokun/comfyui-mcp/krea2-identity-edit"><img src="https://agentmods.dev/badge/skills/artokun/comfyui-mcp/krea2-identity-edit/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/artokun/comfyui-mcp/krea2-identity-edit"><img src="https://agentmods.dev/badge/skills/artokun/comfyui-mcp/krea2-identity-edit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00124 | $0.01221 |
| Opus 5 | $0.00062 | $0.00611 |
| Sonnet 5 | $0.00025 | $0.00244 |
| Haiku 4.5 | $0.00012 | $0.00122 |
Grade A, and why
krea2-identity-edit scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Krea 2 Identity Edit — local outfit swap
Reach for this when
Someone wants the clothing changed on a specific person, with that person preserved:
- "put this jacket on her" / "dress her in this outfit"
- "clothes swap" / "outfit transfer" / "virtual try-on" / "change his shirt"
- "make her wear the outfit from this other image"
Do NOT reach for it just because a request is identity-preserving. Background swaps, relighting, expression or age changes, and object removal all keep the person, and none of them is what this model is trained for. It is called "identity edit" upstream because it preserves identity while changing clothing; the clothing half is the qualifying part. Send the others to a general image-edit workflow.
Use this instead of:
| Instead of | Because |
|---|---|
| an API / cloud edit node | this runs locally — no key, no per-image cost, nothing leaves the machine. Prefer it whenever the models are installed. |
| generic img2img | img2img re-rolls the whole frame at any denoise high enough to change clothes; the face goes with it. |
| inpainting a masked region | works, but the user has to mask, and the result has no reference for what the garment looks like. |
| a face-swap / IP-adapter pipeline | those transfer the FACE. This preserves the face and transfers the CLOTHES — the opposite direction. |
| Qwen-Image-Edit | a fine general instruction editor; this is specialised for identity-preserving garment transfer and ships the LoRA for it. |
Install with the krea2-identity-edit pack, then load its workflow.json.
The one thing to get right: reference order
PRIMARY (group 1) = the SUBJECT. The output always matches this person: face, hair, body, pose. SECONDARY (group 2) = the OUTFIT. Only the clothing is taken from it.
Swapping them swaps which identity survives. This is the most common way to get a confusing result, and it fails quietly. You get a plausible image of the wrong person.
Prompting
Plain English, naming both roles, and naming what to preserve:
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 90 lines · 124 tokens per session scan A d122fb451ebf
krea2-identity-edit is a skill published in the GitHub repository artokun/comfyui-mcp (739 stars, last pushed yesterday), licensed MIT. It adds 124 tokens to every session and 1,221 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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