---
title: Krea-2-pose-controlnet
canonical_url: "https://www.modelscope.cn/models/thedeoxen/Krea-2-pose-controlnet"
md_url: "https://www.modelscope.cn/models/thedeoxen/Krea-2-pose-controlnet.md"
repository: thedeoxen/Krea-2-pose-controlnet
last_updated: 2026-08-04
license: apache-2.0
pipeline_tag: image-to-image
tasks:
  - image-to-image
base_model:
  - krea/Krea-2-Turbo
base_model_relation: adapter
parameters: 114.3M
tensor_type:
  - BF16
library_name:
  - lora
  - safetensors
  - pytorch
frameworks:
  - pytorch
supports_inference: img2img
downloads: 193
stars: 1
tags:
  - krea
  - krea2
  - openpose
  - pose
  - controlnet
  - lora
  - comfyui
  - image-to-image
---

# Krea-2-pose-controlnet

> Krea-2-pose-controlnet - thedeoxen 在 ModelScope 开源的模型。Krea2 Turbo – OpenPose ControlNet LoRA

thedeoxen/Krea-2-pose-controlnet 是 ModelScope 魔搭社区上的 114.3M 参数image-to-image模型，采用 apache-2.0 许可，基于 krea/Krea-2-Turbo 构建，并支持在线推理（img2img）。

- **Repository**: thedeoxen/Krea-2-pose-controlnet
- **License**: apache-2.0
- **Tasks**: image-to-image
- **Parameters**: 114.3M
- **Base model**: krea/Krea-2-Turbo
- **Online inference**: img2img
- **Tags**: krea, krea2, openpose, pose, controlnet, lora, comfyui, image-to-image
- **Downloads**: 193
- **Stars**: 1
- **Last updated**: 2026-08-04

Source: https://www.modelscope.cn/models/thedeoxen/Krea-2-pose-controlnet

---

# Krea2 Turbo – OpenPose ControlNet LoRA

## 📝 Short description

A classic **OpenPose ControlNet LoRA** for **Krea2 Turbo**.  
Feed an **OpenPose / DWPose skeleton map** as the control image — the model follows the **body pose and structure** while the **text prompt** defines appearance, style, clothing, and scene.

---

## 📊 Examples

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

| Pose → Results |
| --- |
| ![](images/a%20(1).png) |
| ![](images/a%20(2).png) |
| ![](images/a%20(3).png) |
| ![](images/a%20(4).png) |

---

## 📖 Extended description

This is a straightforward **pose ControlNet-style LoRA** — not a reference + pose fusion model.  
It was primarily trained on **humans**, but also works with **stylized characters**.

The LoRA teaches the model to treat the input image as an **OpenPose control map** and to align the generated subject with that skeleton. Appearance, outfit, lighting, and environment come from the **prompt** (and optional style cues), not from a second reference image.

---

## ⚙️ How to use

1. Extract or load an **OpenPose / DWPose** skeleton map (black background works best).
2. Pass the pose map as **image 1** in the Krea2 Ostris Edit text encoder.
3. Write a normal text prompt describing the character / scene you want.
4. Load the LoRA on the Krea2 Turbo UNet (recommended weight **0.8–1.0**).

## ComfyUI requirements

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

https://github.com/Fannovel16/comfyui_controlnet_aux

Also requires the **Krea2 Ostris Edit** nodes for conditioning with a control image:

https://github.com/ostris/comfyui-krea2-ostris-edit

### Base model

Trained on and recommended with **[krea/Krea-2-Turbo](https://huggingface.co/krea/Krea-2-Turbo)** (`krea2_turbo_fp8_scaled.safetensors` or equivalent).

Typical sampler settings from the example workflow: **~10 steps**, **CFG ~1.0**, `euler` + `simple`.

### ✅ Example prompt

```
A high-resolution render of a futuristic cyber-ninja in a low-profile stealth pose. The suit is matte black with subtle blue and red LED accents. It holds two glowing plasma katanas low to the ground. The character is balanced on a high-rise ledge overlooking a rain-slicked cyberpunk megacity at night. Style: Cyberpunk aesthetics, realistic rendering, dramatic lighting.
```

No special trigger phrase is required — the pose comes from the control image.

---

## 🎯 What it does

- Follows **body pose and keypoints** from an OpenPose / DWPose map.
- Lets the **prompt** freely define identity, clothing, style, and background.
- Works as a drop-in **classic ControlNet pose** adapter for Krea2 Turbo.

---

## ⚡ Tips

- **DWPose** skeleton maps on a **black background** work best as control input.
- Keep subject scale and framing in the pose map reasonable for the scene you want.
- Lower LoRA weight (~0.6–0.8) if pose is too rigid; raise toward **1.0** for stronger adherence.
- Combine with detailed prompts for lighting, camera angle, and style.

---

## 📌 Use cases

- Posing characters for illustrations, comics, or storyboards.
- Enforcing a specific body pose while freely changing outfit / style via prompt.
- Animation keyframes and pose-driven concept art.
- Stylized character generation with controllable anatomy.

---

## 📦 Files

- **Weights:** [krea2_turbo_openpose_controlnet.safetensors](https://huggingface.co/thedeoxen/Krea-2-pose-controlnet/blob/main/krea2_turbo_openpose_controlnet.safetensors)
- **ComfyUI workflow:** [krea2_controlnet_pose.json](https://huggingface.co/thedeoxen/Krea-2-pose-controlnet/blob/main/krea2_controlnet_pose.json)
- **Repo:** [thedeoxen/Krea-2-pose-controlnet](https://huggingface.co/thedeoxen/Krea-2-pose-controlnet)