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_ClassicRPG!This highly specialized style LoRA is a grand tribute to Classic JRPG Artbooks, medieval epic fantasies, and the intricate daily lives of adventurers (highly inspired by Akihiko Yoshida's iconic style).Characterized by its insane detail density and textured, ink-like fine linework, this model excels at generating rich, believable fantasy settings. It brings out incredible textures in clothing folds, leather stitchings, ornate weaponry, and cluttered magical workshops, all wrapped in cinematic indoor sunbeams (God Rays). If you want to create a masterpiece featuring a lively adventurer's guild, a wizard's store, or a party preparing for their next big quest, this LoRA is your perfect tool.## ⚙️ Recommended Parameters (Optimized for Krea2 Turbo)To perfectly handle the massive amount of details and fine 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 pipelines)* LoRA Weight: 0.8 - 1.0 (0.9 is highly recommended for balanced linework and colors)* Core Trigger Tags: <code>classic_rpg style</code>, <code>high detail density</code>, <code>intricate linework</code>, <code>volumetric indoor lighting</code>, <code>vintage fantasy art</code>## 🎨 Prompting Guide* To maximize the cluttered fantasy objects and gear: <code>cluttered workshop</code>, <code>magic potion bottles on wooden shelves</code>, <code>leather bags and scrolls</code>, <code>highly detailed equipment</code>* To enhance the dramatic Rembrandt indoor lighting: <code>slanted warm sunbeams through window</code>, <code>dust motes floating in air</code>, <code>chiaroscuro</code>, <code>soft volumetric light</code>

Krea2_MangaTint_ClassicRPG

Krea2_MangaTint_ClassicRPG.safetensors

v1.0


# Krea2_漫彩_正统奇幻绘

## 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：55
* 总训练步数：2000
* 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_ClassicRPG", origin_file_pattern="Krea2_MangaTint_ClassicRPG_c2-st2000.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: f3ea57c65e79a397eaacca95154624486c4f5b10b691b84f0c58b0c7bc0342fa