---
title: qwen_image_detail_slider
canonical_url: "https://www.modelscope.cn/models/ostris/qwen_image_detail_slider"
md_url: "https://www.modelscope.cn/models/ostris/qwen_image_detail_slider.md"
repository: ostris/qwen_image_detail_slider
last_updated: 2026-06-16
license: apache-2.0
pipeline_tag: text-to-image-synthesis
tasks:
  - text-to-image-synthesis
base_model:
  - Qwen/Qwen-Image
base_model_relation: adapter
parameters: 36.9M
tensor_type:
  - BF16
library_name:
  - lora
  - diffusers
  - safetensors
  - pytorch
frameworks:
  - pytorch
supports_inference: txt2img
downloads: 148
stars: 1
tags:
  - text-to-image
  - lora
  - diffusers
  - "template:diffusion-lora"
---

# qwen_image_detail_slider

> qwen_image_detail_slider - ostris 在 ModelScope 开源的模型。Qwen Image - Detail Slider

ostris/qwen_image_detail_slider 是 ModelScope 魔搭社区上的 36.9M 参数text-to-image-synthesis模型，采用 apache-2.0 许可，基于 Qwen/Qwen-Image 构建，并支持在线推理（txt2img）。

- **Repository**: ostris/qwen_image_detail_slider
- **License**: apache-2.0
- **Tasks**: text-to-image-synthesis
- **Parameters**: 36.9M
- **Base model**: Qwen/Qwen-Image
- **Online inference**: txt2img
- **Tags**: text-to-image, lora, diffusers, template:diffusion-lora
- **Downloads**: 148
- **Stars**: 1
- **Last updated**: 2026-06-16

Source: https://www.modelscope.cn/models/ostris/qwen_image_detail_slider

---

# Qwen Image - Detail Slider

<Gallery />

## Model description 


![concept_slider_strength.jpg](https:&#x2F;&#x2F;cdn-uploads.huggingface.co&#x2F;production&#x2F;uploads&#x2F;643cb43e6eeb746f5ad81c26&#x2F;ogacjNMDgpw8BylcA5Loq.jpeg)


This LoRA allows you to adjust the level of detail in an image by adjusting the strength. You can use -1.0 to 1.0 to reduce or increase the amount of detail added to the image. . This LoRA was trained while filming a tutorial [Train a Concept Slider LoRA with AI Toolkit](https:&#x2F;&#x2F;youtu.be&#x2F;e-4HGqN6CWU). Check out that video for more info.


## Download model


[Download](/ostris/qwen_image_detail_slider/tree/main) them in the Files & versions tab.