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RefControl Flux Kontext – Reference Pose LoRA

141

1.4k

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Updated: Aug 25, 2025

conceptimg2imgposefluxreposekontext

Verified:

SafeTensor

Type

LoRA

Stats

1,380

0

Reviews

Published

Aug 24, 2025

Base Model

Flux.1 Kontext

Training

Steps: 6,500

Hash

AutoV2
E22DE9C78E
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thedeoxen

The FLUX.1 [dev] Model is licensed by Black Forest Labs. Inc. under the FLUX.1 [dev] Non-Commercial License. Copyright Black Forest Labs. Inc.

IN NO EVENT SHALL BLACK FOREST LABS, INC. BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH USE OF THIS MODEL.

RefControl Flux Kontext – Reference Pose LoRA

📝 Short description

A LoRA for Flux Kontext Dev that fuses a reference image (left) with a pose control map (right).
It preserves identity and style from the reference while following the pose and body structure from the control.

Trigger word: refcontrolpose

Workflow https://civitai.com/models/1894175

[Demo Video] https://youtu.be/8eTjC7InE44

Huging face page: https://huggingface.co/thedeoxen/refcontrol-flux-kontext-reference-pose-lora

📊 Examples

InputOupttutref1res1res3ref4res4


📖 Extended description

This LoRA was primarily trained on humans, but it can also be applied to stylized characters and some objects.
Its main goal is to transfer identity — facial features, hairstyle, clothing, or object details — from the reference image, while adapting them to the pose and skeleton structure defined by the control map.


⚙️ How to use

  1. Concatenate two images side by side:

    • Left: reference image (character, person, or object).

    • Right: pose control map (skeleton, keypoints).

  2. Add the trigger word refcontrolpose in your prompt.

  3. Adjust LoRA weight (recommended 0.8–1.0) depending on how strongly you want to preserve identity.

Worklow:

For workflow you need to install in ComfyUI:

✅ Example prompt

refcontrolpose change pose to photo with reference from left side


🎯 What it does

  • Preserves character identity across generations.

  • Adapts the subject to a new pose or action.

  • Works well for character consistency in sequential generations.


⚡ Tips

  • Best results when the pose map has similar proportions to the reference image.

  • Combine with text prompts to refine background or mood.

  • Can be chained with other RefControl LoRAs (depth, lineart, canny) for multi-constraint generation.


📌 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.