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.## Model OverviewWelcome to Krea2_MangaTint_RedLineUkiyoe!A specialized landscape LoRA that bridges traditional Shin-Ukiyo-e woodblock aesthetics, surreal geometric red lines, and modern minimalist vector scenery, newly added to the Krea2_MangaTint lineup.This model features a striking color contrast between cool Prussian blue terrain and vivid vermilion red accents. It generates gorgeous engraved line hatchings, fluid ponds, and iconic sweeping red lines that slice through peaceful fields and mountains. Perfect for high-end art poster designs, surreal landscape wallpapers, and contemporary graphic illustrations.## ⚙️ Recommended Parameters (Optimized for Krea2 Turbo)To capture the crisp woodblock textures and clean geometric lines, please apply the following configurations:* Base Architecture: Krea2* **Inference Pipeline:** Krea2 Turbo Version* Sampling Steps: 8 steps (Strictly optimized for Turbo speed)* CFG Scale: 1.0 (Crucial for Turbo models)* LoRA Weight: 0.8 - 1.0 (0.9 is highly recommended for balanced line clarity)* Core Trigger Tags: <code>mangatint style</code>, <code>redline_ukiyoe scenery</code>, <code>surreal red line</code>, <code>ukiyo-e print</code>, <code>woodblock engraving texture</code>, <code>prussian blue tone</code>, <code>minimalist landscape</code>## 🎨 Prompting Guide* To boost the signature surreal red lines: <code>striking red curved lines slicing through the landscape</code>, <code>surreal red ribbons</code>, <code>dynamic graphic composition</code>* To enhance Ukiyo-e woodblock textures: <code>ukiyo-e style</code>, <code>fine line hatching and engraving details</code>, <code>prussian blue and vermilion red color contrast</code>, <code>minimalist flat water surface</code>

Krea2_MangaTint_RedLineUkiyoe

Krea2_MangaTint_RedLineUkiyoe.safetensors

v1.0


# Krea2_漫彩_红线浮世景

## 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：32
* 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_RedLineUkiyoe", origin_file_pattern="Krea2_MangaTint_RedLineUkiyoe_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: b661f2164fa0d30a8133391b4c9f95360086bf67090814835d85fec7f9723bfb