Preserve exact public model weights with licenses and attribution

preserved/qwen-edit2511-exact-20260909/LICENSE.txt

@@ -0,0 +1,202 @@
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preserved/qwen-edit2511-exact-20260909/NOTICE.md

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+# Unmodified Qwen-Image-Edit-2511 preservation
+
+Base model: Qwen Team / Qwen-Image-Edit-2511. GGUF quantization: Unsloth; its original card credits the ComfyUI-GGUF tooling by city96. Step-distilled Lightning LoRA: LightX2V / ModelTC. A byte-identical copy was also distributed by frankjoshua. Original model cards are included verbatim with their attributions, citations and usage references. Exact source revisions and hashes are in manifest.json.
+
+The distributors identify these weights as Apache-2.0. The Apache License 2.0 is included in LICENSE.txt. No separate NOTICE or LICENSE file was listed in the four pinned HF source trees at the preservation review; this NOTICE is the archive maintainer's attribution, not an upstream legal statement. Upstream notices and license terms continue to apply. This mirror makes no endorsement or warranty claim and does not grant trademark rights.
+
+Weights are unchanged byte-for-byte: no fine-tuning, merging, re-quantization or renaming of the weight files. This archive adds only documentation and a checksum manifest. The Q6_K file is an older exact quantization, not the different-byte file currently using the same upstream filename. This packet does not include all encoders, VAE, tokenizer or runtime code and is not a complete ComfyUI installation. Byte restoration and inference acceptance remain separate checks.

preserved/qwen-edit2511-exact-20260909/Qwen-Image-Edit-2511-Lightning-4steps-V1.0-bf16.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:22226e8d05d354bb356627d428809f5afd7819399b077238a2b70a82883a904f
+size 849608296

preserved/qwen-edit2511-exact-20260909/README.Qwen.md

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+---
+license: apache-2.0
+language:
+- en
+- zh
+library_name: diffusers
+pipeline_tag: image-to-image
+---
+<p align="center">
+    <img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/qwen_image_edit_logo.png" width="400"/>
+<p>
+<p align="center">
+          💜 <a href="https://chat.qwen.ai/"><b>Qwen Chat</b></a>&nbsp&nbsp | &nbsp&nbsp🤗 <a href="https://huggingface.co/Qwen/Qwen-Image-Edit-2511">Hugging Face</a>&nbsp&nbsp | &nbsp&nbsp🤖 <a href="https://modelscope.cn/models/Qwen/Qwen-Image-Edit-2511">ModelScope</a>&nbsp&nbsp | &nbsp&nbsp 📑 <a href="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/Qwen_Image.pdf">Tech Report</a> &nbsp&nbsp | &nbsp&nbsp 📑 <a href="https://qwenlm.github.io/blog/qwen-image-edit-2511/">Blog</a> &nbsp&nbsp 
+<br>
+🖥️ <a href="https://huggingface.co/spaces/Qwen/Qwen-Image-Edit-2511">Demo</a>&nbsp&nbsp | &nbsp&nbsp💬 <a href="https://github.com/QwenLM/Qwen-Image/blob/main/assets/wechat.png">WeChat (微信)</a>&nbsp&nbsp | &nbsp&nbsp🫨 <a href="https://discord.gg/CV4E9rpNSD">Discord</a>&nbsp&nbsp| &nbsp&nbsp <a href="https://github.com/QwenLM/Qwen-Image">Github</a>&nbsp&nbsp
+</p>
+
+<p align="center">
+    <img src="https://qianwen-res.oss-accelerate-overseas.aliyuncs.com/Qwen-Image/edit2511/edit2511big.JPG#center" width="1600"/>
+<p>
+
+
+# Introduction
+
+We are excited to introduce Qwen-Image-Edit-2511, an enhanced version over Qwen-Image-Edit-2509, featuring multiple improvements—including notably better consistency. To try out the latest model, please visit [Qwen Chat](https://chat.qwen.ai/?inputFeature=image_edit) and select the Image Editing feature.
+
+Key enhancements in Qwen-Image-Edit-2511 include: mitigate image drift, improved character consistency，integrated LoRA capabilities， enhanced industrial design generation, and strengthened geometric reasoning ability.
+
+
+## Quick Start
+
+Install the latest version of diffusers
+```
+pip install git+https://github.com/huggingface/diffusers
+```
+
+The following contains a code snippet illustrating how to use `Qwen-Image-Edit-2511`:
+
+```python
+import os
+import torch
+from PIL import Image
+from diffusers import QwenImageEditPlusPipeline
+
+pipeline = QwenImageEditPlusPipeline.from_pretrained("Qwen/Qwen-Image-Edit-2511", torch_dtype=torch.bfloat16)
+print("pipeline loaded")
+
+pipeline.to('cuda')
+pipeline.set_progress_bar_config(disable=None)
+image1 = Image.open("input1.png")
+image2 = Image.open("input2.png")
+prompt = "The magician bear is on the left, the alchemist bear is on the right, facing each other in the central park square."
+inputs = {
+    "image": [image1, image2],
+    "prompt": prompt,
+    "generator": torch.manual_seed(0),
+    "true_cfg_scale": 4.0,
+    "negative_prompt": " ",
+    "num_inference_steps": 40,
+    "guidance_scale": 1.0,
+    "num_images_per_prompt": 1,
+}
+with torch.inference_mode():
+    output = pipeline(**inputs)
+    output_image = output.images[0]
+    output_image.save("output_image_edit_2511.png")
+    print("image saved at", os.path.abspath("output_image_edit_2511.png"))
+
+```
+
+## Showcase
+
+**Qwen-Image-Edit-2511 Enhances Character Consistency**
+In Qwen-Image-Edit-2511, character consistency has been significantly improved. The model can perform imaginative edits based on an input portrait while preserving the identity and visual characteristics of the subject.
+
+![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片1.JPG#center)
+![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片2.JPG#center)
+![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片3.JPG#center)
+![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片4.JPG#center)
+
+**Improved Multi-Person Consistency**
+While Qwen-Image-Edit-2509 already improved consistency for single-subject editing, Qwen-Image-Edit-2511 further enhances consistency in multi-person group photos—enabling high-fidelity fusion of two separate person images into a coherent group shot:
+![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片5.JPG#center)
+![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片6.JPG#center)
+
+**Built-in Support for Community-Created LoRAs**
+Since Qwen-Image-Edit’s release, the community has developed many creative and high-quality LoRAs—greatly expanding its expressive potential. Qwen-Image-Edit-2511 integrates selected popular LoRAs directly into the base model, unlocking their effects without extra tuning.
+
+For example, Lighting Enhancement LoRA
+Realistic lighting control is now achievable out-of-the-box:
+![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片7.JPG#center)
+
+![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片8.JPG#center)
+
+Another example, generating new viewpoints can now be done directly with the base model:
+
+![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片9.JPG#center)
+
+![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片10.JPG#center)
+
+**Industrial Design Applications**
+
+We’ve paid special attention to practical engineering scenarios—for instance, batch industrial product design:
+
+
+![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片11.JPG#center)
+
+![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片12.JPG#center)
+
+…and material replacement for industrial components:
+![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片13.JPG#center)
+
+![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片14.JPG#center)
+
+**Enhanced Geometric Reasoning**
+Qwen-Image-Edit-2511 introduces stronger geometric reasoning capability—e.g., directly generating auxiliary construction lines for design or annotation purposes:
+
+
+![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片15.JPG#center)
+
+![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片16.JPG#center)
+
+That wraps up the major updates in Qwen-Image-Edit-2511.
+Enjoy exploring the new capabilities! 🎉
+
+## License Agreement
+
+Qwen-Image is licensed under Apache 2.0. 
+
+## Citation
+
+We kindly encourage citation of our work if you find it useful.
+
+```bibtex
+@misc{wu2025qwenimagetechnicalreport,
+      title={Qwen-Image Technical Report}, 
+      author={Chenfei Wu and Jiahao Li and Jingren Zhou and Junyang Lin and Kaiyuan Gao and Kun Yan and Sheng-ming Yin and Shuai Bai and Xiao Xu and Yilei Chen and Yuxiang Chen and Zecheng Tang and Zekai Zhang and Zhengyi Wang and An Yang and Bowen Yu and Chen Cheng and Dayiheng Liu and Deqing Li and Hang Zhang and Hao Meng and Hu Wei and Jingyuan Ni and Kai Chen and Kuan Cao and Liang Peng and Lin Qu and Minggang Wu and Peng Wang and Shuting Yu and Tingkun Wen and Wensen Feng and Xiaoxiao Xu and Yi Wang and Yichang Zhang and Yongqiang Zhu and Yujia Wu and Yuxuan Cai and Zenan Liu},
+      year={2025},
+      eprint={2508.02324},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2508.02324}, 
+}
+```

preserved/qwen-edit2511-exact-20260909/README.frankjoshua.md

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+---
+license: apache-2.0
+tags:
+- diffusion-single-file
+- comfyui
+- distillation
+- LoRA
+- lora
+- Qwen-Image
+- Qwen-Image-Edit
+base_model:
+- Qwen/Qwen-Image-Edit-2511
+pipeline_tags:
+- image-to-image
+- text-to-image
+library_name: diffusers
+pipeline_tag: image-to-image
+---
+# Qwen-Image-Edit-2511-Lightning
+
+## Model Overview
+Qwen-Image-Edit-2511-Lightning is a collection of optimized models tailored for image editing tasks, leveraging step distillation and quantization techniques to deliver high-efficiency inference performance. This repository hosts three core model files with distinct characteristics:
+
+| Model File Name | Type | Key Features |
+|-----------------|------|--------------|
+| `Qwen-Image-Edit-2511-Lightning-4steps-V1.0-bf16.safetensors` | 4-step Distilled LoRA | BF16 precision, lightweight, 4-step inference |
+| `Qwen-Image-Edit-2511-Lightning-4steps-V1.0-fp32.safetensors` | 4-step Distilled LoRA | FP32 precision, high accuracy, 4-step inference |
+| `qwen_image_edit_2511_fp8_e4m3fn_scaled_lightning.safetensors` | FP8 Quantized | FP8 (e4m3fn scaled) precision, fused with 4-step distilled LoRA, optimized for low-memory deployment |
+
+## Usage Instructions
+This model suite supports two mainstream usage frameworks, with detailed guides provided below:
+
+### 1. Qwen-Image-Lightning Framework
+For full documentation on model usage within the Qwen-Image-Lightning ecosystem (including environment setup, inference pipelines, and customization), please refer to:
+[Qwen-Image-Lightning GitHub Repository](https://github.com/ModelTC/Qwen-Image-Lightning/)
+
+### 2. LightX2V Framework
+The models are fully compatible with the LightX2V lightweight video/image generation inference framework. For step-by-step usage examples, configuration templates, and performance optimization tips, see:
+[LightX2V Qwen Image Edit Documentation](https://github.com/ModelTC/LightX2V/blob/main/examples/qwen_image/README.md)
+
+## Key Optimizations
+- **Step Distillation**: The LoRA models reduce the original inference steps to just 4 steps, achieving significant speedup (≈10x faster than standard 40-step inference) while preserving image editing quality.
+- **FP8 Quantization**: The quantized base model balances performance and resource efficiency, reducing GPU memory usage by ~50% compared to FP32 while maintaining editing fidelity.
+
+## Support
+For technical issues, feature requests, or integration questions:
+- Open an issue in the [Qwen-Image-Lightning repo](https://github.com/ModelTC/Qwen-Image-Lightning/issues) (for Qwen framework-specific questions)
+- Open an issue in the [LightX2V repo](https://github.com/ModelTC/LightX2V/issues) (for LightX2V integration questions)

preserved/qwen-edit2511-exact-20260909/README.lightx2v.md

@@ -0,0 +1,48 @@
+---
+license: apache-2.0
+tags:
+- diffusion-single-file
+- comfyui
+- distillation
+- LoRA
+- lora
+- Qwen-Image
+- Qwen-Image-Edit
+base_model:
+- Qwen/Qwen-Image-Edit-2511
+pipeline_tags:
+- image-to-image
+- text-to-image
+library_name: diffusers
+pipeline_tag: image-to-image
+---
+# Qwen-Image-Edit-2511-Lightning
+
+## Model Overview
+Qwen-Image-Edit-2511-Lightning is a collection of optimized models tailored for image editing tasks, leveraging step distillation and quantization techniques to deliver high-efficiency inference performance. This repository hosts three core model files with distinct characteristics:
+
+| Model File Name | Type | Key Features |
+|-----------------|------|--------------|
+| `Qwen-Image-Edit-2511-Lightning-4steps-V1.0-bf16.safetensors` | 4-step Distilled LoRA | BF16 precision, lightweight, 4-step inference |
+| `Qwen-Image-Edit-2511-Lightning-4steps-V1.0-fp32.safetensors` | 4-step Distilled LoRA | FP32 precision, high accuracy, 4-step inference |
+| `qwen_image_edit_2511_fp8_e4m3fn_scaled_lightning.safetensors` | FP8 Quantized | FP8 (e4m3fn scaled) precision, fused with 4-step distilled LoRA, optimized for low-memory deployment |
+
+## Usage Instructions
+This model suite supports two mainstream usage frameworks, with detailed guides provided below:
+
+### 1. Qwen-Image-Lightning Framework
+For full documentation on model usage within the Qwen-Image-Lightning ecosystem (including environment setup, inference pipelines, and customization), please refer to:
+[Qwen-Image-Lightning GitHub Repository](https://github.com/ModelTC/Qwen-Image-Lightning/)
+
+### 2. LightX2V Framework
+The models are fully compatible with the LightX2V lightweight video/image generation inference framework. For step-by-step usage examples, configuration templates, and performance optimization tips, see:
+[LightX2V Qwen Image Edit Documentation](https://github.com/ModelTC/LightX2V/blob/main/examples/qwen_image/README.md)
+
+## Key Optimizations
+- **Step Distillation**: The LoRA models reduce the original inference steps to just 4 steps, achieving significant speedup (≈10x faster than standard 40-step inference) while preserving image editing quality.
+- **FP8 Quantization**: The quantized base model balances performance and resource efficiency, reducing GPU memory usage by ~50% compared to FP32 while maintaining editing fidelity.
+
+## Support
+For technical issues, feature requests, or integration questions:
+- Open an issue in the [Qwen-Image-Lightning repo](https://github.com/ModelTC/Qwen-Image-Lightning/issues) (for Qwen framework-specific questions)
+- Open an issue in the [LightX2V repo](https://github.com/ModelTC/LightX2V/issues) (for LightX2V integration questions)

preserved/qwen-edit2511-exact-20260909/README.unsloth.md

@@ -0,0 +1,173 @@
+---
+base_model: Qwen/Qwen-Image-Edit-2511
+language:
+- en
+- zh
+license: apache-2.0
+library_name: ggml
+pipeline_tag: image-to-image
+tags:
+- gguf
+- quantized
+---
+
+> [!NOTE]
+> This is a GGUF quantized version of [Qwen-Image-Edit-2511](https://huggingface.co/Qwen/Qwen-Image-Edit-2511).
+> unsloth/Qwen-Image-Edit-2511-GGUF uses [Unsloth Dynamic 2.0](https://docs.unsloth.ai/basics/unsloth-dynamic-2.0-ggufs) methodology for SOTA performance.
+
+- Important layers are upcasted to higher precision.
+- Uses tooling from [ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF) by city96.
+
+
+<div>
+  <div style="display: flex; gap: 5px; align-items: center; ">
+    <a href="https://github.com/unslothai/unsloth/">
+      <img src="https://github.com/unslothai/unsloth/raw/main/images/unsloth%20new%20logo.png" width="133">
+    </a>
+    <a href="https://discord.gg/unsloth">
+      <img src="https://github.com/unslothai/unsloth/raw/main/images/Discord%20button.png" width="173">
+    </a>
+    <a href="https://docs.unsloth.ai"/>
+      <img src="https://raw.githubusercontent.com/unslothai/unsloth/refs/heads/main/images/documentation%20green%20button.png" width="143">
+    </a>
+  </div>
+</div>
+
+---
+
+<p align="center">
+    <img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/qwen_image_edit_logo.png" width="400"/>
+<p>
+<p align="center">
+          💜 <a href="https://chat.qwen.ai/"><b>Qwen Chat</b></a>&nbsp&nbsp | &nbsp&nbsp🤗 <a href="https://huggingface.co/Qwen/Qwen-Image-Edit-2511">Hugging Face</a>&nbsp&nbsp | &nbsp&nbsp🤖 <a href="https://modelscope.cn/models/Qwen/Qwen-Image-Edit-2511">ModelScope</a>&nbsp&nbsp | &nbsp&nbsp 📑 <a href="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/Qwen_Image.pdf">Tech Report</a> &nbsp&nbsp | &nbsp&nbsp 📑 <a href="https://qwenlm.github.io/blog/qwen-image-edit-2511/">Blog</a> &nbsp&nbsp 
+<br>
+🖥️ <a href="https://huggingface.co/spaces/Qwen/Qwen-Image-Edit-2511">Demo</a>&nbsp&nbsp | &nbsp&nbsp💬 <a href="https://github.com/QwenLM/Qwen-Image/blob/main/assets/wechat.png">WeChat (微信)</a>&nbsp&nbsp | &nbsp&nbsp🫨 <a href="https://discord.gg/CV4E9rpNSD">Discord</a>&nbsp&nbsp| &nbsp&nbsp <a href="https://github.com/QwenLM/Qwen-Image">Github</a>&nbsp&nbsp
+</p>
+
+<p align="center">
+    <img src="https://qianwen-res.oss-accelerate-overseas.aliyuncs.com/Qwen-Image/edit2511/edit2511big.JPG#center" width="1600"/>
+<p>
+
+
+# Introduction
+
+We are excited to introduce Qwen-Image-Edit-2511, an enhanced version over Qwen-Image-Edit-2509, featuring multiple improvements—including notably better consistency. To try out the latest model, please visit [Qwen Chat](https://chat.qwen.ai/?inputFeature=image_edit) and select the Image Editing feature.
+
+Key enhancements in Qwen-Image-Edit-2511 include: mitigate image drift, improved character consistency，integrated LoRA capabilities， enhanced industrial design generation, and strengthened geometric reasoning ability.
+
+
+## Quick Start
+
+Install the latest version of diffusers
+```
+pip install git+https://github.com/huggingface/diffusers
+```
+
+The following contains a code snippet illustrating how to use `Qwen-Image-Edit-2511`:
+
+```python
+import os
+import torch
+from PIL import Image
+from diffusers import QwenImageEditPlusPipeline
+
+pipeline = QwenImageEditPlusPipeline.from_pretrained("Qwen/Qwen-Image-Edit-2511", torch_dtype=torch.bfloat16)
+print("pipeline loaded")
+
+pipeline.to('cuda')
+pipeline.set_progress_bar_config(disable=None)
+image1 = Image.open("input1.png")
+image2 = Image.open("input2.png")
+prompt = "The magician bear is on the left, the alchemist bear is on the right, facing each other in the central park square."
+inputs = {
+    "image": [image1, image2],
+    "prompt": prompt,
+    "generator": torch.manual_seed(0),
+    "true_cfg_scale": 4.0,
+    "negative_prompt": " ",
+    "num_inference_steps": 40,
+    "guidance_scale": 1.0,
+    "num_images_per_prompt": 1,
+}
+with torch.inference_mode():
+    output = pipeline(**inputs)
+    output_image = output.images[0]
+    output_image.save("output_image_edit_2511.png")
+    print("image saved at", os.path.abspath("output_image_edit_2511.png"))
+
+```
+
+## Showcase
+
+**Qwen-Image-Edit-2511 Enhances Character Consistency**
+In Qwen-Image-Edit-2511, character consistency has been significantly improved. The model can perform imaginative edits based on an input portrait while preserving the identity and visual characteristics of the subject.
+
+![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片1.JPG#center)
+![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片2.JPG#center)
+![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片3.JPG#center)
+![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片4.JPG#center)
+
+**Improved Multi-Person Consistency**
+While Qwen-Image-Edit-2509 already improved consistency for single-subject editing, Qwen-Image-Edit-2511 further enhances consistency in multi-person group photos—enabling high-fidelity fusion of two separate person images into a coherent group shot:
+![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片5.JPG#center)
+![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片6.JPG#center)
+
+**Built-in Support for Community-Created LoRAs**
+Since Qwen-Image-Edit’s release, the community has developed many creative and high-quality LoRAs—greatly expanding its expressive potential. Qwen-Image-Edit-2511 integrates selected popular LoRAs directly into the base model, unlocking their effects without extra tuning.
+
+For example, Lighting Enhancement LoRA
+Realistic lighting control is now achievable out-of-the-box:
+![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片7.JPG#center)
+
+![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片8.JPG#center)
+
+Another example, generating new viewpoints can now be done directly with the base model:
+
+![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片9.JPG#center)
+
+![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片10.JPG#center)
+
+**Industrial Design Applications**
+
+We’ve paid special attention to practical engineering scenarios—for instance, batch industrial product design:
+
+
+![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片11.JPG#center)
+
+![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片12.JPG#center)
+
+…and material replacement for industrial components:
+![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片13.JPG#center)
+
+![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片14.JPG#center)
+
+**Enhanced Geometric Reasoning**
+Qwen-Image-Edit-2511 introduces stronger geometric reasoning capability—e.g., directly generating auxiliary construction lines for design or annotation purposes:
+
+
+![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片15.JPG#center)
+
+![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片16.JPG#center)
+
+That wraps up the major updates in Qwen-Image-Edit-2511.
+Enjoy exploring the new capabilities! 🎉
+
+## License Agreement
+
+Qwen-Image is licensed under Apache 2.0. 
+
+## Citation
+
+We kindly encourage citation of our work if you find it useful.
+
+```bibtex
+@misc{wu2025qwenimagetechnicalreport,
+      title={Qwen-Image Technical Report}, 
+      author={Chenfei Wu and Jiahao Li and Jingren Zhou and Junyang Lin and Kaiyuan Gao and Kun Yan and Sheng-ming Yin and Shuai Bai and Xiao Xu and Yilei Chen and Yuxiang Chen and Zecheng Tang and Zekai Zhang and Zhengyi Wang and An Yang and Bowen Yu and Chen Cheng and Dayiheng Liu and Deqing Li and Hang Zhang and Hao Meng and Hu Wei and Jingyuan Ni and Kai Chen and Kuan Cao and Liang Peng and Lin Qu and Minggang Wu and Peng Wang and Shuting Yu and Tingkun Wen and Wensen Feng and Xiaoxiao Xu and Yi Wang and Yichang Zhang and Yongqiang Zhu and Yujia Wu and Yuxuan Cai and Zenan Liu},
+      year={2025},
+      eprint={2508.02324},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2508.02324}, 
+}
+```

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