You can click on the link below to try it out directly. If the effect is good, you can deploy it locally<a target="_blank" rel="ugc" href="https://www.runninghub.ai/post/2086745289859379202?inviteCode=rh-v1559">https://www.runninghub.ai/post/2086745289859379202?inviteCode=rh-v1559</a>Experience this LoRA for free at the link below! Powered by a Krea2 workflow, it enables seamless direct 4K high-definition generation.Welcome to Krea2_MJ_Atmosphere_Enhancer_Slider!A versatile utility LoRA engineered for the Krea2 Architecture, functioning as a Midjourney-style aesthetic slider to enhance overall image mood, lighting depth, bioluminescent glows, and high-end cinematic textures.This model excels at boosting Midjourney-like artistic styling, rich contrast, vibrant ambient luminescence, and complex sci-fi or fantasy costume details. Perfectly suited for elevating standard generations into cinematic masterpieces with deeper shadows, neon glowing highlights, organic bioluminescent patterns, and sharp 3D visual fidelity.Recommended ParametersBase Architecture: Krea2 Running Version: Krea2 Turbo Sampling Steps: 8 CFG Scale: 1 LoRA Weight: 1.0 (Recommended -1.0 to 1.0 depending on desired intensity) Core Trigger Tags: mj atmosphere enhancer, midjourney style, cinematic lighting, dramatic contrast, bioluminescent glow, neon purple light, rich texture, high detail render, masterpiecePrompting &amp; Style Tips<ol><li>Aesthetic &amp; Lighting Enhancements: For Midjourney-Style Glows: glowing organic armor, neon purple highlights, bioluminescent web pattern, bioluminescent energy, cinematic volumetric light For Material &amp; Cinematic Depth: dark sci-fi suit, mechanical armor details, glossy metallic texture, dark cave background, glowing eyes, intense gaze</li><li>Slider Utility Guidance: Increase Weight (e.g. 0.8 to 1.2): Enhances Midjourney-like cinematic mood, contrast, glowing ambient lighting, and complex artistic details. Decrease Weight (e.g. 0.3 to 0.5): Adds a subtle touch of Midjourney lighting texture without altering the base prompt composition too heavily.</li></ol>

Krea2_MJ_Atmosphere_Enhancer_Slider

Krea2_DreamCos_Realism-MJ.safetensors

v1.0


# Krea2_幻光真实Coser-MJ风

## 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：91
* 总训练步数：3000
* 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_DreamCos_Realism-MJ", origin_file_pattern="Krea2_DreamCos_Realism-MJ_c2-st3000.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: 0494610459894c8df460abe3235941bd1a3f3665a2a67ea69f8c7c6b62c6e32a