Refcontrol Flux Kontext Reference Pose LoRA
license: apache-2.0 basemodel: black-forest-labs/FLUX.1-Kontext-dev pipelinetag: image-to-image
Fuente del modelo
- Tipo
- Other
- Tamaño del archivo
- 328 MB
- Modelo base
- black-forest-labs/FLUX.1-Kontext-dev
- Versión
- vRevision 34dbf37
- Actualizado
- 29 sept 2026
- Descargas
- 0
- Tareas
- Imagen a imagen
- Fuente
- Hugging Face
Descripción de la fuente
license: apache-2.0 base_model:
- black-forest-labs/FLUX.1-Kontext-dev pipeline_tag: image-to-image
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
📊 Examples
| Input | Oupttut |
|---|---|
| ref1 | res1 |
| ref2 | res2 |
| ref3 | res3 |
| ref4 | res4 |
| ref5 | res5 |
📖 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
- Concatenate two images side by side:
- Left: reference image (character, person, or object).
- Right: pose control map (skeleton, keypoints).
- Add the trigger word
refcontrolposein your prompt. - Adjust LoRA weight (recommended 0.8–1.0) depending on how strongly you want to preserve identity.
Worklow:
You can find workflow in the workflows folder.
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.
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 29 sept
Artefactos del modelo
1 artefacto
Artefactos del modelo
1 artefactorefcontrol_pose.safetensors
safetensors · 328 MB · SHA-256 e22de9c78edc…8a7f · Hugging Face
Download fileExtractos de fuentes
2 extractos
Extractos de fuentes
2 extractos--- license: apache-2.0 base_model: - black-forest-labs/FLUX.1-Kontext-dev pipeline_tag: image-to-image tags: - flux - kontext - img2img - controlnet - flux-kontext - image - editing - lora --- license: apache-2.0 base_model: - black-forest-labs/FLUX.1-Kontext-dev pipeline_tag: image-to-image --- # 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` --- [🎥 Demo Video](https://youtu.be/8eTjC7InE44) --- ## 📊 Examples | Input | Oupttut | |-----------|--------| |  |  | |  |  | |  |  | |  |  | |  |  | --- ## 📖 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 (charac...
Source context: 0 downloads · 64 likes · Pipeline image-to-image · Repo thedeoxen/refcontrol-flux-kontext-reference-pose-lora
