---

license: other license_name: krea-2-community-license license_link: https://krea.ai/krea-2-licensing base_model: krea/Krea-2-Raw tags:

• image-editing
• lora
• comfyui
• krea-2

---

Krea 2 Identity Edit

☕ Support on Ko-fi — all tips go straight to GPU compute for future versions.

🧰 Training code is public: krea2edit-trainer — the ai-toolkit extension these LoRAs were trained with, geometry-matched to the nodes, with measured consumer-GPU VRAM requirements.

v1.2 (recommended): krea2_identity_edit_v1_2.safetensors — better face likeness on restaged subjects and higher fidelity across every skill, from a 1024 high-resolution pass (v1.1 had none). New capabilities: character reference-sheet use and creation, head / face / eye / person swap, outpainting, inpainting, and virtual try-on. With the v1.2 nodes it also gains the FIT reference geometry — mismatched source/output aspect ratios are handled automatically, so no more stretched or blurry results — and a ref_boost fidelity dial (how hard the edit holds the reference; ~4 is a strong-likeness starting point). Requires the v1.2 nodes.

Head / face / eye / person swap is trained on stablellama's MIT-licensed change_eye_face_head_person dataset — thank you for making it available.

Low-VRAM variants: ..._v1_2_r128.safetensors (0.91GB) and ..._v1_2_r64.safetensors (0.46GB) — SVD rank-reduced from v1.2 (>99% of the weight energy retained), near-identical quality.

Prior versions remain available: ..._v1_1.safetensors (+ its _r128/_r64 variants) and the original ..._v1.safetensors.

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: scene + person as separate references — "create a photo of this man next to the tractor." Input order matters and is fixed: the scene is always image 1 (source_latent/image), the person is always image 2 (source_latent_b/image_b). Swapping them sharply degrades results (this matches the training layout).
• 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	8–12	1.0
Removals / large deletions	Raw	20	3.0

See the full description on the original page