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LatestQwen · Alibaba2512
Qwen · AlibabaText → Image

Qwen Releases Bilingual Open-Source Image Model

Alibaba's latest text-to-image generator, Qwen-Image 2512, is optimized for creating visuals from both English and Chinese prompts.

Dec 30, 2025
NotableApache 2.0
Qwen-Image 2512

Alibaba's Qwen team has released a new text-to-image model, Qwen-Image 2512, expanding its suite of open-source AI tools. The generator is designed to create images from text prompts and is notable for its native support for both English and Chinese languages.

Released under the permissive Apache 2.0 license, Qwen-Image 2512 is available for both commercial and research applications without significant restrictions. This open approach continues Qwen's strategy of contributing foundational models to the community, following its well-regarded releases of large language models.

The model's bilingual capability is a key differentiator in a crowded field of image generators. By performing well with Chinese prompts, Qwen-Image addresses a significant need for tools that can create more culturally and linguistically specific visual content. This could empower developers and artists in Chinese-speaking regions to build more relevant applications. Interested users can find the model and usage details on its official Hugging Face repository.

Sources

  • Qwen/Qwen-Image-2512

    Hugging Face

    Visit
OlderQwen's Fun-Audio-Chat: An Open Speech-to-Speech LLMQwen · Alibaba · Any-to-Any · 10 months agoNewerMoonshot AI Releases Kimi K2.5 Multimodal ModelMoonshot AI · Vision-Language · 10 months ago

Get the model

Hugging Face

Specs

Resolution1328×1328
Size40.9 GB
PrecisionBF16
ArchitectureQwenImagePipeline
LicenseAPACHE-2.0
Downloads49.4K
Likes985

Can you run it?

Runs on a 24 GB GPU at FP8.

  • BF16 (as published)

    48 GB GPU (RTX 6000) or 2×24 GB · 64 GB Mac

    41.9 GB
  • FP8

    24 GB GPU (RTX 3090 / 4090) · 32 GB Mac

    21.4 GB
Your machine
  • Covers the published checkpoint; text encoders and VAE loaded alongside may add a few GB (many runtimes offload them to CPU).

Based on Hugging Face weights metadata. Assumes an 8K context and ~1 GB runtime overhead; actual needs vary. How we estimate


Modalities

Text → Image

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