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_AstroGlow!A specialized aesthetic LoRA designed for Moody Sci-Fi Concept Art, tranquil cosmic interiors, and cinematic soft-light portraiture, newly added to the signature Krea2_MangaTint family.This model excels at rendering the emotional contrast between cold outer-space environments (porthole windows, star trails) and intimate, dimly lit spaceship cabins. It produces gorgeous hard-edged sunlight casts, delicate translucent fabric textures, and edge-softened painterly linework. Perfect for generating interstellar slice-of-life scenes, quiet sci-fi moments, and story-driven aesthetic anime illustrations.## ⚙️ Recommended Parameters (Optimized for Krea2 Turbo)To capture the delicate volumetric lighting and subtle translucent textures, 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 contrast)* Core Trigger Tags: <code>mangatint style</code>, <code>astroglow style</code>, <code>sci-fi interior</code>, <code>porthole window view</code>, <code>cinematic sunlight cast</code>, <code>translucent shirt</code>, <code>cosmic atmosphere</code>## 🎨 Prompting Guide* To boost the deep-space porthole aesthetic: <code>outer space view from spaceship window</code>, <code>distant galaxy and star trails</code>, <code>soft cosmic ambient glow</code>* To enhance interior cinematic shadows and sheer clothing: <code>strong directional window light beam</code>, <code>translucent white shirt</code>, <code>subsurface scattering</code>, <code>soft painterly texture</code>

Krea2_MangaTint_ArrayRuins

Krea2_MangaTint_ArrayRuins.safetensors

v1.0


# Krea2_漫彩_天线遗迹景

## 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：65
* 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_ArrayRuins", origin_file_pattern="Krea2_MangaTint_ArrayRuins_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: 121058512dab7b220b2ee18ebbd116f56b3f28afb6486e1e934bfe8814f2d155