Preview for Qwen-Image
Qwen-Image workflow diagram

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Description

Qwen-Image is the first image generation foundation model released by Alibaba’s Qwen team. It’s a 20B parameter MMDiT (Multimodal Diffusion Transformer) model open-sourced under the Apache 2.0 license. The model has made significant advances in complex text rendering and precise image editing, achieving high-fidelity output for multiple languages including English and Chinese.

Model Highlights:

  • Excellent Multilingual Text Rendering: Supports high-precision text generation in multiple languages including English, Chinese, Korean, Japanese, maintaining font details and layout consistency
  • Diverse Artistic Styles: From photorealistic scenes to impressionist paintings, from anime aesthetics to minimalist design, fluidly adapting to various creative prompts

Related Links:

Models

FileDestinationSource
qwen_image_vae.safetensors/ComfyUI/models/vaeDownload
qwen_2.5_vl_7b.safetensors/ComfyUI/models/text_encodersDownload
qwen_image_bf16.safetensors/ComfyUI/models/diffusion_modelsDownload

Nodes

VAELoaderEmptySD3LatentImageCLIPTextEncodeVAEDecodeModelSamplingAuraFlowKSamplerSaveImageUNETLoaderCLIPLoader