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Qwen_Image_2.1 - T2I/Edit

Qwen_Image_2.1

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bf16-T2I/Edit
T2I/Edit
Qwen_Image_2.1 by qwin on Tensor.Art
Qwen_Image_2.1 by qwin on Tensor.Art
Qwen_Image_2.1 by qwin on Tensor.Art

Repost From Huggingface

https://huggingface.co/Qwen/Qwen-Image-2.1

Introduction

We are excited to open-source Qwen-Image-2.1, a unified text-to-image generation and image editing model in the Qwen family. With just 7B parameters in its visual generation component (32 Single-Stream DiT layers), Qwen-Image-2.1 balances generation quality, inference efficiency, and versatility.

Four key improvements define this release:

  • Compact and Efficient — A lightweight architecture with mixed-granularity attention and prefix KV cache reuse delivers strong image quality at low computational cost.

  • Native Transparency, Unified Creation and Editing — Generate regular or transparent (RGBA) images from text, edit transparent layers, and extract subjects from photographs—all in one model.

  • Versatile Editing — Support up to 10 reference images, specify local edits via circles, painted annotations, or separate masks, and preserve identity for people and products.

  • Realistic Textures and Refined Aesthetics — Improved typography, portrait lighting, and fine details for more visually compelling results.

Version Detail

Qwen-Image-2.1

Project Permissions

Model reprinted from : https://huggingface.co/Qwen/Qwen-Image-2.1

Reprinted models are for communication and learning purposes only, not for commercial use. Original authors can contact us to transfer the models through our Discord channel --- #claim-models.

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