A LoRA for FLUX.2 Klein 9B Base that fuses a reference image (identity) with a pose control map (skeleton / keypoints).
It preserves identity and style from the reference while following the body pose and structure from the pose map.

Trigger phrase: apply pose from image 1 with reference from image 2

📊 Examples

Each preview is a single combined image from ComfyUI: Pose → Reference → Result (left to right).

Pose → Reference → Result

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📖 Extended description

This LoRA was primarily trained on humans, but it also works with stylized characters and some objects.
Its main purpose is to preserve identity — facial features, hairstyle, clothing, or object details — from the reference image, while adapting the subject to the pose and skeleton structure defined by the control map.

FLUX.2 Klein 9B Base already handles reference + pose transfer reasonably well with the right prompt alone. This LoRA builds on that capability — it improves consistency and better preserves character identity and pose fidelity than the base model without LoRA.

Part of the RefControl family: reference + control fusion for consistent, controllable generation on FLUX.2 Klein 9B Base.

⚙️ How to use

Use the first image as the pose control map (skeleton / keypoints).
Use the second image as the reference (character, person, or object).
Add the trigger phrase apply pose from image 1 with reference from image 2 in your prompt.
Adjust LoRA weight (recommended 0.8–1.0) depending on how strongly you want to preserve identity.

ComfyUI requirenments

Pose extraction in the included workflow uses DWPose (via comfyui_controlnet_aux):

https://github.com/Fannovel16/comfyui_controlnet_aux

Base model

Trained on and recommended with black-forest-labs/FLUX.2-klein-base-9B.
The undistilled Base variant is intended for LoRA training and custom pipelines (~50 inference steps, guidance_scale ~4.0).

The LoRA also works with the 4-step distilled black-forest-labs/FLUX.2-klein-9B for faster inference (~4 steps, guidance_scale ~1.0), but quality may be slightly lower — especially for identity and pose fidelity — compared to the Base model.

✅ Example prompt

apply pose from image 1 with reference from image 2

🎯 What it does

Preserves character or object identity across generations.
Adapts the subject to a new pose or action defined by the skeleton map.
Works best when the pose map has similar proportions and scale to the reference.

⚡ Tips

Best results when the pose map is not drastically different in body scale or framing from the reference.
Combine with text prompts to refine background, lighting, or mood.
DWPose skeleton maps on a black background work well as control input.

📌 Use cases

Character posing for illustrations, comics, or storyboards.
Consistent character design across different poses.
Re-posing stylized characters while keeping their identity.
Creating animation keyframes from static references.

📦 Files

Weights: refcontrol_v2_poses.safetensors
ComfyUI workflow: refcontrol_pose_flux_klein_9b.json
Repo: thedeoxen/refcontrol-FLUX.2-klein-9B-reference-pose-lora

thedeoxen/refcontrol-FLUX.2-klein-9B-reference-pose-lora

RefControl FLUX.2 Klein 9B – Reference Pose LoRA

📝 Short description