The 2509 Workflow and LightX2v 8 Steps LoRA are compatible with this version.LoRA: <a rel="ugc" href="https://huggingface.co/lightx2v/Qwen-Image-Edit-2511-Lightning/resolve/main/Qwen-Image-Edit-2511-Lightning-4steps-V1.0-bf16.safetensors">Qwen-Image-Edit-2511-Lightning-4steps-V1.0-bf16</a> | 850MBLoRA: <a rel="ugc" href="https://huggingface.co/lightx2v/Qwen-Image-Edit-2511-Lightning/resolve/main/Qwen-Image-Edit-2511-Lightning-4steps-V1.0-fp32.safetensors">Qwen-Image-Edit-2511-Lightning-4steps-V1.0-fp32</a> | 1.7GBBF16 on 10GB VRAM + 64GB RAM: Workflow in the <a target="_blank" rel="ugc" href="https://civarchive.com/api/download/models/2530417?type=Training%20Data">zip file</a>. First, install SageAttention and Triton for your Python environment.( look for compatible precompiled wheels )<a target="_blank" rel="ugc" href="https://chat.qwen.ai/?inputFeature=image_edit">Online Demo</a> | <a target="_blank" rel="ugc" href="https://huggingface.co/Qwen/Qwen-Image-Edit-2511">HF</a> | <a target="_blank" rel="ugc" href="https://github.com/QwenLM/Qwen-Image">GH</a><h3 id="improvements-over-previous-versions-(2509)">Improvements Over Previous Versions (2509)</h3><ul><li>Significantly better overall consistency in edits, addressing drift issues.</li><li>Expanded multi-image capabilities.</li><li>Native LoRA integrations for enhanced effects like realistic lighting and viewpoint shifts.</li><li>Added support for industrial design and geometric reasoning, broadening use cases beyond basic editing.</li></ul><h3 id="examples">Examples</h3><ul><li>Character Consistency: Edit a portrait to change clothing or pose while keeping the face identical.</li><li>Multi-Person Fusion: Merge two individual photos into a group shot in a shared scene.</li><li>Lighting Enhancement: Apply realistic lighting using the integrated LoRA.</li><li>Viewpoint Generation: Create new angles of a subject without retraining.</li><li>Industrial Design: Batch-generate product variations and swap materials (e.g., change metal to wood).</li></ul>The model is mirrored here for convenience.

Qwen-Image-Edit 2511

Comfy-Org Qwen-Image-Edit 2511 fp8mixed

qwenImageEdit2511_fp8.safetensors

BF16

Free unlimited use of Qwen-Image-Edit. Fast generation. Online training now supported!免费使用Qwen-Image-Edit不限次，快速生成，在线训练已经支持！Qwen-Image-Editを無料で無制限に利用可能。高速生成。オンライントレーニングに対応済み！Uso ilimitado y gratuito de Qwen-Image-Edit. Generación rápida. ¡Entrenamiento en línea ya disponible!Qwen-Image-Edit का असीमित और मुफ्त उपयोग करें। तेज़ जनरेशन। ऑनलाइन प्रशिक्षण अब उपलब्ध है!Qwen-Image-Edit 무제한 무료 사용. 빠른 생성. 온라인 학습 지원 완료!Gunakan Qwen-Image-Edit tanpa batas secara gratis. Hasil cepat. Pelatihan online sudah tersedia!IntroductionWe are excited to introduce Qwen-Image-Edit, the image editing version of Qwen-Image. Built upon our 20B Qwen-Image model, Qwen-Image-Edit successfully extends Qwen-Image’s unique text rendering capabilities to image editing tasks, enabling precise text editing. Furthermore, Qwen-Image-Edit simultaneously feeds the input image into Qwen2.5-VL (for visual semantic control) and the VAE Encoder (for visual appearance control), achieving capabilities in both semantic and appearance editing. To experience the latest model, visit <a target="_blank" rel="nofollow" href="https://qwen.ai/">Qwen Chat</a> and select the "Image Editing" feature.Key Features:<ul><li>Semantic and Appearance Editing: Qwen-Image-Edit supports both low-level visual appearance editing (such as adding, removing, or modifying elements, requiring all other regions of the image to remain completely unchanged) and high-level visual semantic editing (such as IP creation, object rotation, and style transfer, allowing overall pixel changes while maintaining semantic consistency).</li><li>Precise Text Editing: Qwen-Image-Edit supports bilingual (Chinese and English) text editing, allowing direct addition, deletion, and modification of text in images while preserving the original font, size, and style.</li><li>Strong Benchmark Performance: Evaluations on multiple public benchmarks *********** that Qwen-Image-Edit achieves state-of-the-art (SOTA) performance in image editing tasks, establishing it as a powerful foundation model for image editing.</li></ul>——————————————————————————————————————This September, we are pleased to introduce Qwen-Image-Edit-2509, the monthly iteration of Qwen-Image-Edit. To experience the latest model, please visit <a target="_blank" rel="nofollow" href="https://qwen.ai/">Qwen Chat</a> and select the "Image Editing" feature. Compared with Qwen-Image-Edit released in August, the main improvements of Qwen-Image-Edit-2509 include:<ul><li>Multi-image Editing Support: For multi-image inputs, Qwen-Image-Edit-2509 builds upon the Qwen-Image-Edit architecture and is further trained via image concatenation to enable multi-image editing. It supports various combinations such as "person + person," "person + product," and "person + scene." Optimal performance is currently achieved with 1 to 3 input images.</li><li>Enhanced Single-image Consistency: For single-image inputs, Qwen-Image-Edit-2509 significantly improves editing consistency, specifically in the following areas:<ul><li>Improved Person Editing Consistency: Better preservation of facial identity, supporting various portrait styles and pose transformations;</li><li>Improved Product Editing Consistency: Better preservation of product identity, supporting product poster editing；</li><li>Improved Text Editing Consistency: In addition to modifying text content, it also supports editing text fonts, colors, and materials；</li></ul></li><li>Native Support for ControlNet: Including depth maps, edge maps, keypoint maps, and more.</li></ul>

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