Krea 2 Identity Edit

## v1.1 — recommended

**What's better:**

- Substantially improved **face likeness** and image fidelity

- Much stronger **edit locality** — camera, pose, and untouched elements stay fixed far more reliably

- Better **two-person identity separation**

- More reliable object **remove / replace**

- Better compound **outfit-change** compliance

- Corrected reference geometry handling

**Honest notes:**

- Person-replacement ("replace the woman with an orangutan") is currently weaker than v1 — keep v1 around for that use case until v1.2

- No high-res adaptation pass yet: at high resolutions (especially two-person edits) identities can bleed — prefer ~1–1.5MP and upscale

- If you get duplicated/split compositions, **lower grounding_px** (v1.1 trained range: 384–768)

**Settings:** Turbo, 8–12 steps (8 = composition, 12 = face detail, ~10 balanced), CFG 1.0, LoRA strength 1.0. Removals/deletions: Raw model, CFG 3, ~20 steps. Match output aspect ratio to the source. Two-ref edits: **scene = image 1, person = image 2.**

Requires the [ComfyUI-Krea2Edit nodes](https://github.com/lbouaraba/comfyui-krea2edit) — see [CHANGELOG](https://github.com/lbouaraba/comfyui-krea2edit/blob/main/CHANGELOG.md).

Instruction-based, identity-preserving image editing for Krea 2 (12.9B single-stream MMDiT). Give it an image and a plain-language instruction; it edits while preserving what you didn't ask to change — including the person.

An unofficial community fine-tune of Krea 2 Raw. Not an official Krea product; not affiliated with or endorsed by Krea.ai, Inc.

Requires the ComfyUI-Krea2Edit node pack — the LoRA is trained with dual conditioning (in-context VAE tokens + image-grounded Qwen3-VL encoding) that stock nodes don't provide. Two ready-made workflows ship with it.

What it does

Person re-staging with likeness: "create a photo of this person at a night market" — same face, same outfit down to individual moles and marks, fully relit to the new scene. New camera angles and poses included.
Local edits: recolor, add/remove/replace objects, attribute and outfit changes, with near-pixel preservation of the rest of the frame.
Replace-with-reference: "replace the woman with a big orangutan" — the replace verb is trained, locality holds.
Full-image restyles: global style with preserved composition.
Two-input edits (experimental): scene + person as separate references. Outfits and placement work well; see limitations for faces.
Composes with your LoRAs: character/body/style LoRAs stack on top and steer the prior — something closed editors structurally can't offer.

Recommended settings

Task type Model Steps CFG Most edits (add, recolor, restyle, re-stage) Turbo 8 1.0 Removals / large deletions Raw 20 3.0

Match the output aspect ratio to the source image. Training pairs are same-size; AR mismatch degrades preservation (edits may apply to only part of the frame).
Generate at ≤2MP. Above that, source content can bleed or subjects duplicate (training was 768/1024-class).
grounding_px is a real dial (trained range 512–1536): lower values = stronger edit adherence and more uniform scene changes; higher values = stronger identity/likeness. 768 is a balanced default; try 1024+ for people.
At CFG > 1, ground the negative too (empty prompt + same image).
LoRA strength 1.0.

Known limitations (honest list)

Likeness is texture-faithful, proportion-conservative. Moles, skin character, hair, and lighting adapt beautifully; strongly distinctive facial geometry (unusual nose, eye spacing, face length) regresses toward typical proportions. People whose identity lives in texture and structure transfer best; geometry-defined faces read as a "close relative."
Two-person inputs keep outfits distinct but faces drift toward each other. Workaround that works today: chain single-ref inserts (place person A, then a second edit pass adding person B from their reference).
Removal works but is not yet reliable — always use the Raw/CFG 3 recipe; expect occasional re-renders instead of deletions.
Outfit swaps are hit-or-miss — changing what a person wears sometimes works cleanly and sometimes doesn't apply; reroll or rephrase.
Local edits aren't always perfectly local — add/remove/replace operations can sometimes alter other parts of the frame or shift the overall color grade. If preservation matters, compare against the source and reroll.
Highly unusual visual content (extravagant hairstyles, extreme body types) can drift toward the base prior — a subject LoRA stacked on top fixes this.

License

The LoRA weights are a Derivative Model of Krea 2 and are distributed under the Krea 2 Community License Agreement (see also NOTICE). Key points for users: commercial use is permitted under the license's revenue threshold (§2.3, currently <$1M/yr — above that, contact Krea for an enterprise license); deployments must implement reasonable content moderation (§4.2); AI disclosure obligations apply where required (§4.3). This repository modifies the Krea Model as permitted by §3; it is not endorsed by Krea.

Research/portfolio release by a self-funded hobbyist.

Showcase

All reference people below are themselves AI-generated — no real likenesses. Prompts are embedded in each image.

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