Explore my workflow creation space! Feel free to click the link below and experience the future of AIGC generation directly.<a target="_blank" rel="ugc" href="https://www.runninghub.ai/?inviteCode=rh-v1559">https://www.runninghub.ai/?inviteCode=rh-v1559</a>Fan benefits,register to get 1000 points,daily login 100 points,play 4090!Experience the super power of 48G.Description: Step into the elite world of modern runway and lookbook styling. Krea2_MangaTint_KFashionDesign is tailor-made for rendering high-end Korean fashion design concepts with incredible textile realism. It excels at capturing intricate garment layering, detailed plaid blazers, glossy fabrics, and sophisticated silhouettes against an absolute, clean studio white canvas. Optimized to deliver crisp illustration line art, rich color densities, and modern editorial postures, making it the perfect tool for digital fashion designers, stylists, and character lookbook creators.Recommended Settings (Krea 2 Turbo):<ul><li>Steps: 8 steps</li><li>CFG Scale: 1</li><li>LoRA Weight: 0.8 - 1.0</li><li>Aspect Ratio: 3:4 (Highly recommended for full-body fashion poses and vertical runway-style framing)</li></ul>

Krea2_MangaTint_KFashionDesign

Krea2+Turbo.json

Krea2_MangaTint_KFashionDesign.safetensors

v1.0


# Krea2_漫彩_韩流时装绘

## 模型介绍

本模型依托魔搭社区（ModelScope）AIGC专区[模型训练](https://modelscope.cn/aigc/modelTraining)环境与算力完成训练。

* 模型类型：LoRA
* 基础模型：[krea/Krea-2-Turbo](https://modelscope.cn/models/krea/Krea-2-Turbo)
* 训练代码：[DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio)
* 训练数据量：96
* 总训练步数：10000
* 开源协议：Apache-2.0

## 推理代码

安装 [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio)：

```bash
pip install diffsynth
```

开始推理：

```python
from diffsynth.pipelines.krea2 import Krea2Pipeline, ModelConfig
import torch

pipe = Krea2Pipeline.from_pretrained(
    torch_dtype=torch.bfloat16,
    device="cuda",
    model_configs=[
        ModelConfig(model_id="krea/Krea-2-Turbo", origin_file_pattern="turbo.safetensors"),
        ModelConfig(model_id="Qwen/Qwen3-VL-4B-Instruct", origin_file_pattern="*.safetensors"),
        ModelConfig(model_id="Qwen/Qwen-Image", origin_file_pattern="vae/diffusion_pytorch_model.safetensors"),
    ],
    tokenizer_config=ModelConfig(model_id="Qwen/Qwen3-VL-4B-Instruct", origin_file_pattern=""),
)
pipe.load_lora(pipe.dit, ModelConfig(model_id="zhouwenbin1994/Krea2_MangaTint_KFashionDesign", origin_file_pattern="Krea2_MangaTint_KFashionDesign_c2-st10000.safetensors"))
prompt = "a cat"
image = pipe(
    prompt, seed=0,
    num_inference_steps=8, cfg_scale=1, mu=1.15,
)
image.save("image.jpg")
```


Files with SHA256: b9a17380e29cead21b255da772c83aeb8ab10a814b7755f90cc641f8f7bc3f81