---
title: Qwen-Image-Edit-2511-Gaussian-Splash
canonical_url: "https://www.modelscope.cn/models/dx8152/Qwen-Image-Edit-2511-Gaussian-Splash"
md_url: "https://www.modelscope.cn/models/dx8152/Qwen-Image-Edit-2511-Gaussian-Splash.md"
repository: dx8152/Qwen-Image-Edit-2511-Gaussian-Splash
last_updated: 2026-06-16
license: apache-2.0
pipeline_tag: image-to-image
tasks:
  - image-to-image
base_model:
  - Qwen/Qwen-Image-Edit-2511
base_model_relation: adapter
parameters: 118.0M
tensor_type:
  - BF16
library_name:
  - lora
  - safetensors
  - pytorch
frameworks:
  - pytorch
supports_inference: img2img
downloads: 217
stars: 2
tags:
  - lora
---

# Qwen-Image-Edit-2511-Gaussian-Splash

> Qwen-Image-Edit-2511-Gaussian-Splash - dx8152 在 ModelScope 开源的模型。This model is trained (code-free!) on ModelScope. Thanks to ModelScope team for providing the training infra:

dx8152/Qwen-Image-Edit-2511-Gaussian-Splash 是 ModelScope 魔搭社区上的 118.0M 参数image-to-image模型，采用 apache-2.0 许可，基于 Qwen/Qwen-Image-Edit-2511 构建，并支持在线推理（img2img）。

- **Repository**: dx8152/Qwen-Image-Edit-2511-Gaussian-Splash
- **License**: apache-2.0
- **Tasks**: image-to-image
- **Parameters**: 118.0M
- **Base model**: Qwen/Qwen-Image-Edit-2511
- **Online inference**: img2img
- **Tags**: lora
- **Downloads**: 217
- **Stars**: 2
- **Last updated**: 2026-06-16

Source: https://www.modelscope.cn/models/dx8152/Qwen-Image-Edit-2511-Gaussian-Splash

---

This model is trained (code-free!) on ModelScope. Thanks to ModelScope team for providing the training infra:

https://www.modelscope.ai/civision/modelTraining/

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Online running link： https://www.runninghub.ai/post/2011085906899374081?inviteCode=rh-v1331

This is a user guide:

New workflow tutorial: https://youtu.be/MplcDHeDNiw

YouTube：https://youtu.be/9Vyxjty9Qao

Blibili：https://www.bilibili.com/video/BV1enrjBMECz/

For communication/cooperation, you can join the discord group to communicate： https://discord.gg/yVAVa43mWk

----
Project address：
https://github.com/CarlMarkswx/comfyui-GaussianViewer

This project uses Apple's open-source Sharp for 3D image rotation. Project address: https://github.com/apple/ml-sharp

Using the 2509 workflow will better reproduce perspective angles, while using the 2511 workflow will result in better image consistency.

The prompt message is the default: "高斯泼溅,参考图2的场景图，修复图1的场景图透视并修复空白区域"

![1](https://cdn-uploads.huggingface.co/production/uploads/64461e86ab86b035add67e41/1owms1Wffz14YqByHNRhj.jpeg)