--- title: Qwen-Image-Edit-2509-Light_restoration canonical_url: "https://www.modelscope.cn/models/dx8152/Qwen-Image-Edit-2509-Light_restoration" md_url: "https://www.modelscope.cn/models/dx8152/Qwen-Image-Edit-2509-Light_restoration.md" repository: dx8152/Qwen-Image-Edit-2509-Light_restoration last_updated: 2026-06-16 license: apache-2.0 pipeline_tag: image-to-image tasks: - image-to-image base_model: - Qwen/Qwen-Image-Edit-2509 base_model_relation: adapter parameters: 235.9M tensor_type: - BF16 library_name: - lora - safetensors - pytorch frameworks: - pytorch supports_inference: img2img downloads: 632 stars: 6 tags: - lora --- # Qwen-Image-Edit-2509-Light_restoration > Qwen-Image-Edit-2509-Light_restoration - 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-2509-Light_restoration 是 ModelScope 魔搭社区上的 235.9M 参数image-to-image模型，采用 apache-2.0 许可，基于 Qwen/Qwen-Image-Edit-2509 构建，并支持在线推理（img2img）。 - **Repository**: dx8152/Qwen-Image-Edit-2509-Light_restoration - **License**: apache-2.0 - **Tasks**: image-to-image - **Parameters**: 235.9M - **Base model**: Qwen/Qwen-Image-Edit-2509 - **Online inference**: img2img - **Tags**: lora - **Downloads**: 632 - **Stars**: 6 - **Last updated**: 2026-06-16 Source: https://www.modelscope.cn/models/dx8152/Qwen-Image-Edit-2509-Light_restoration --- This model is trained (code-free!) on ModelScope. Thanks to ModelScope team for providing the training infra: https://www.modelscope.cn/aigc/modelTraining ----- /庆祝 Version 25.11.25 V2.0 Update Fixed prompt words (no need to modify): "移除光影,使用柔和光线（无明显光斑和阴影）对图片进行重新照明" Online running link： https://www.runninghub.ai/post/1986847676127973378?inviteCode=rh-v1331 This is a user guide: YouTube：https://youtu.be/SgCo_sDUquo Blibili：https://www.bilibili.com/video/BV1neU9BzEEG/ ![1-(1)](https://cdn-uploads.huggingface.co/production/uploads/64461e86ab86b035add67e41/UNehlXDqOTKEXThliPTFs.gif) ![2](https://cdn-uploads.huggingface.co/production/uploads/64461e86ab86b035add67e41/qXG-mIH1CrRbF4wOTYmSI.gif) ![3](https://cdn-uploads.huggingface.co/production/uploads/64461e86ab86b035add67e41/MoH4Eu_QROu1AWfyHRlrP.gif) ![ComfyUI_temp_fuoor_00001_](https://cdn-uploads.huggingface.co/production/uploads/64461e86ab86b035add67e41/SJOFXRdLjJsa7XbxwYYVe.png) ![ComfyUI_temp_fuoor_00002_](https://cdn-uploads.huggingface.co/production/uploads/64461e86ab86b035add67e41/XTzq-oOW6yVzgUpa_Vh6c.png) ![ComfyUI_temp_gpvja_00004_](https://cdn-uploads.huggingface.co/production/uploads/64461e86ab86b035add67e41/vuW_hWasQdd-csfrVIpe_.png) ![ComfyUI_temp_gpvja_00006_](https://cdn-uploads.huggingface.co/production/uploads/64461e86ab86b035add67e41/nPg_W7KC4dfNoQl5PApF8.png) ![ComfyUI_temp_gpvja_00007_](https://cdn-uploads.huggingface.co/production/uploads/64461e86ab86b035add67e41/7KhEbdUEj5juIY96Mqg3y.png) ![ComfyUI_temp_gpvja_00009_](https://cdn-uploads.huggingface.co/production/uploads/64461e86ab86b035add67e41/aj5bsALTQTEL0O5FjBSYk.png) ![ComfyUI_temp_gpvja_00010_](https://cdn-uploads.huggingface.co/production/uploads/64461e86ab86b035add67e41/imB6ujWdfbJHYpQXK4KmF.png) ![ComfyUI_temp_gpvja_00011_](https://cdn-uploads.huggingface.co/production/uploads/64461e86ab86b035add67e41/xYBLRyL48cj5KQEyl9PN7.png) ![ComfyUI_temp_gpvja_00012_](https://cdn-uploads.huggingface.co/production/uploads/64461e86ab86b035add67e41/NbsxWzbLqv7SX7Lr45RGG.png) ![ComfyUI_temp_gpvja_00013_](https://cdn-uploads.huggingface.co/production/uploads/64461e86ab86b035add67e41/Bij4HwUGiXXJfaurixnGJ.png) ![ComfyUI_temp_gpvja_00015_](https://cdn-uploads.huggingface.co/production/uploads/64461e86ab86b035add67e41/gJrGybUEsRtKNuI8zLKWN.png) ![微信图片_20251124140734_9496_893](https://cdn-uploads.huggingface.co/production/uploads/64461e86ab86b035add67e41/1lPJ8wwLSTFwhGRQKTkBw.png) ![微信图片_20251124140734_9497_893](https://cdn-uploads.huggingface.co/production/uploads/64461e86ab86b035add67e41/5N5ivG_jA6Tpg86JE5dU1.png) ![微信图片_20251124140806_9498_893](https://cdn-uploads.huggingface.co/production/uploads/64461e86ab86b035add67e41/7Bk-pZMJmtFh8jdINSOGH.png) ![微信图片_20251124141003_9502_893](https://cdn-uploads.huggingface.co/production/uploads/64461e86ab86b035add67e41/hxJaqPtIHsYeHXtTDA486.png) ----- To avoid the recurring question, "The photo looks better before removing the lighting, what's the point of this garbage LoRa?" Let me preface this by saying that if you've ever trained a lighting LoRa dataset, you know how difficult it is to remove light from a person's face, but training requires a pair of images (one with lighting and one without). For example, the previous approach to creating datasets was to first find a photo without lighting, and then use the lighting LoRa dataset to add lighting. This approach has two drawbacks: 1. Photos without lighting are relatively hard to find. 2. The lighting added by the AI ​​never looks as natural as in a real photograph, and it requires a lot of trial and error. Now, using this LoRa dataset, you can directly find any model image with the lighting you want to achieve, and use this LoRa to remove the lighting. The resulting lighting LoRa dataset is significantly better than previous datasets. ![2](https://cdn-uploads.huggingface.co/production/uploads/64461e86ab86b035add67e41/t-ZVhsRgOTyBtNY9KQIJU.jpeg) ---- [Hugging Face app](https://huggingface.co/spaces/akhaliq/Qwen-Image-Edit-2509-Light_restoration) Online running link： https://www.runninghub.ai/post/1986847676127973378?inviteCode=rh-v1331 This is a user guide: YouTube：https://youtu.be/ReKNKBQQky4 Blibili：https://www.bilibili.com/video/BV1Tc11BJETN/ Fixed prompt words (no need to modify): " 移除光影,使用柔和光线对图片进行重新照明" ---- Instructions: Download the lora file to the models/loras folder. You also need this lora and use them together: https://huggingface.co/lightx2v/Qwen-Image-Lightning/tree/main For communication/cooperation, you can join the discord group to communicate： https://discord.gg/yVAVa43mWk If these resources are helpful to you, or if you use them for business purposes, please buy me a coffee. 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PayPal: Daniel8152 ![1](https://cdn-uploads.huggingface.co/production/uploads/64461e86ab86b035add67e41/ITihbY4ETXdTVI59fr7iy.gif) ![2](https://cdn-uploads.huggingface.co/production/uploads/64461e86ab86b035add67e41/nBno_GUYAJcK4yYmf6222.gif) ![3](https://cdn-uploads.huggingface.co/production/uploads/64461e86ab86b035add67e41/TcUxyEHuCnpi1attti7Zt.gif) ![4](https://cdn-uploads.huggingface.co/production/uploads/64461e86ab86b035add67e41/kp5-C7zar26u1cmqTraVf.gif) ![5](https://cdn-uploads.huggingface.co/production/uploads/64461e86ab86b035add67e41/rWHsYD-Ux705KdoKcqEfg.gif) ![6](https://cdn-uploads.huggingface.co/production/uploads/64461e86ab86b035add67e41/QgyOXEmGObiZVbuu6GuhL.gif) ![7](https://cdn-uploads.huggingface.co/production/uploads/64461e86ab86b035add67e41/2k372JhQqhvcfNA3lif6p.gif) ![8](https://cdn-uploads.huggingface.co/production/uploads/64461e86ab86b035add67e41/C3_ZSgHUVo5TxlUNktFGv.gif) ![9](https://cdn-uploads.huggingface.co/production/uploads/64461e86ab86b035add67e41/ToZMbSxuAeqOkaWck0T3S.gif) ![10](https://cdn-uploads.huggingface.co/production/uploads/64461e86ab86b035add67e41/swqlZ7y5C2n71oJKjhPPO.gif) ![11](https://cdn-uploads.huggingface.co/production/uploads/64461e86ab86b035add67e41/D_t2V-tPFeIwU-KTRenA4.gif) ![12](https://cdn-uploads.huggingface.co/production/uploads/64461e86ab86b035add67e41/Qw2TVbMudksAhKBmL0GZT.gif)