---
title: Qwen-Image-2.1-Natural-Exposure-LoRA
canonical_url: "https://www.modelscope.cn/models/prithivMLmods/Qwen-Image-2.1-Natural-Exposure-LoRA"
md_url: "https://www.modelscope.cn/models/prithivMLmods/Qwen-Image-2.1-Natural-Exposure-LoRA.md"
repository: prithivMLmods/Qwen-Image-2.1-Natural-Exposure-LoRA
last_updated: 2026-09-23
license: other
pipeline_tag: image-to-image
tasks:
  - image-to-image
base_model:
  - Qwen/Qwen-Image-2.1
base_model_relation: adapter
parameters: 209.7M
tensor_type:
  - BF16
library_name:
  - lora
  - safetensors
language:
  - en
  - zh
supports_inference: img2img
downloads: 281
stars: 1
tags:
  - lora
  - natural-exposure
  - image-editing
  - I2I
---

# Qwen-Image-2.1-Natural-Exposure-LoRA

> Qwen-Image-2.1-Natural-Exposure-LoRA - prithivMLmods 在 ModelScope 开源的模型。Qwen-Image-2.1-Natural-Exposure-LoRA

prithivMLmods/Qwen-Image-2.1-Natural-Exposure-LoRA 是 ModelScope 魔搭社区上的 209.7M 参数image-to-image模型，采用 other 许可，基于 Qwen/Qwen-Image-2.1 构建，并支持在线推理（img2img）。

- **Repository**: prithivMLmods/Qwen-Image-2.1-Natural-Exposure-LoRA
- **License**: other
- **Tasks**: image-to-image
- **Parameters**: 209.7M
- **Base model**: Qwen/Qwen-Image-2.1
- **Online inference**: img2img
- **Tags**: lora, natural-exposure, image-editing, I2I
- **Downloads**: 281
- **Stars**: 1
- **Last updated**: 2026-09-23

Source: https://www.modelscope.cn/models/prithivMLmods/Qwen-Image-2.1-Natural-Exposure-LoRA

---

![a](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/r2L_e-5mu2OC28Hbz7e7x.png)
![b](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/XdBXOep9Mph3-96PrgTjD.png)

## **Qwen-Image-2.1-Natural-Exposure-LoRA**

Qwen-Image-2.1-Natural-Exposure-LoRA is a LoRA adapter for [Qwen-Image-2.1](https://huggingface.co/Qwen/Qwen-Image-2.1), designed to transform images with balanced, neutral exposure while preserving natural colors, details, lighting, and overall image consistency.

> [!NOTE]
> This is an experimental preview model. Results may vary depending on the input image, lighting conditions, and overall image composition.

## Model Details

* **Base Model:** [Qwen/Qwen-Image-2.1](https://huggingface.co/Qwen/Qwen-Image-2.1)
* **Adapter:** `Qwen-Image-2.1-Natural-Exposure-LoRA`
* **Model Type:** LoRA / Adapter
* **Model Status:** Preview / Experimental
* **Created by:** [prithivMLmods](https://huggingface.co/prithivMLmods)

## Training Specifications

| Parameter                | Configuration                                                   |
| ------------------------ | --------------------------------------------------------------- |
| Dataset                  | 38 pairs of high-quality images with manually adjusted exposure |
| Save Precision           | BF16                                                            |
| Learning Rate            | `1e-4`                                                          |
| Optimizer                | AdamW                                                           |
| Network Dimension (Rank) | 16                                                              |
| Total Steps              | 4000                                                            |
| Trigger Prompt           | `Transform the image with balanced neutral exposure`            |

## Download

Download the model files from the **Files & versions** tab:

[Download Qwen-Image-2.1-Natural-Exposure-LoRA](https://huggingface.co/prithivMLmods/Qwen-Image-2.1-Natural-Exposure-LoRA/tree/main)

## Usage

Load the LoRA adapter with **Qwen-Image-2.1** and provide an input image.

Use the trigger prompt:

```text
Transform the image with balanced neutral exposure
```

For best results, use images with noticeable exposure variations or uneven lighting.

## Limitations

This is an early **preview release** and may produce artifacts or inconsistencies in challenging cases, including:

* Extremely underexposed or overexposed images
* Complex lighting conditions
* High-contrast scenes
* Strong color casts
* Fine details and textures
* Images with unusual exposure or lighting conditions

Results can vary depending on the input image and its original lighting conditions.

## License

Please refer to the license terms of the base model, [Qwen-Image-2.1](https://huggingface.co/Qwen/Qwen-Image-2.1), and ensure compliance with its terms when using or redistributing this adapter.

## Acknowledgements

This adapter was created by [prithivMLmods](https://huggingface.co/prithivMLmods) and is built for use with [Qwen-Image-2.1](https://huggingface.co/Qwen/Qwen-Image-2.1).