Qwen-Image 2.1
Qwen-Image 2.1 is an image generation model released by Alibaba's Qwen team. It supports both text-to-image and image-to-image capabilities and represents the first fully open-source model in the Qwen series oriented toward generative vision, distinguishing it fundamentally from the image-understanding-focused Qwen-VL.
Core Facts
Timeline (last 90 days)
Qwen-Image-2512 is Apache-2.0 and commercially usable; Qwen-Image 2.1 uses the Qwen research license, which explicitly states it is limited to non-commercial use and that commercial use requires separate contact.
The Qwen-Image 2.1 custom pose generation skill pack generates images of specific poses through author-level prompts and LoRA models, and its GitHub star count has reached 2,035.
In Locally Uncensored 3.0.6, Qwen-Image 2.1 LoRAs that come with an alpha now compute weights the ComfyUI way (alpha divided by rank), fixing the previous problem of running at the full configured strength that made the effect too strong.
The Mac version of Locally Uncensored's image editing feature runs on Qwen-Image 2.1, and the editing tab only appears after installing that model; its 4-bit quantized package requires 16 GB of memory.
The model card for Qwen-Image 2.1 is labeled with the Qwen Research License.
The best configuration tested by the author was a CFG of approximately 3, 25 sampling steps, and the res_multistep sampler paired with a simple scheduler.
A Reddit user in the r/comfyui community shared a dataset generation workflow based on Qwen-Image 2.1 for rapidly generating facial training materials.
The workflow is adapted from a free face dataset generation solution by community creator u/acekiube, with the core changes being adaptation to the Qwen-Image 2.1 model and adjustments to prompts and parameters.
On Qwen-Image 2.1, a lower CFG value (3) generally produces more natural output with less of an overfitting feel.
Uploading two reference images (a frontal photo plus one image from a side angle) can noticeably improve the identity consistency of generated results.
8 more timeline events
All Facts (12)
Alibaba's Qwen-Image-2.1 has open weights, uses a 7B architecture, integrates generation and editing in a single model, and natively supports transparent layers.
65%UnverifiedQwen-Image-2512 is Apache-2.0 and commercially usable; Qwen-Image 2.1 uses the Qwen research license, which explicitly states it is limited to non-commercial use and that commercial use requires separate contact.
50%UnverifiedThe Qwen-Image 2.1 custom pose generation skill pack generates images of specific poses through author-level prompts and LoRA models, and its GitHub star count has reached 2,035.
50%UnverifiedThe Mac version of Locally Uncensored's image editing feature runs on Qwen-Image 2.1, and the editing tab only appears after installing that model; its 4-bit quantized package requires 16 GB of memory.
50%UnverifiedIn Locally Uncensored 3.0.6, Qwen-Image 2.1 LoRAs that come with an alpha now compute weights the ComfyUI way (alpha divided by rank), fixing the previous problem of running at the full configured strength that made the effect too strong.
50%UnverifiedThe model card for Qwen-Image 2.1 is labeled with the Qwen Research License.
50%UnverifiedUploading two reference images (a frontal photo plus one image from a side angle) can noticeably improve the identity consistency of generated results.
50%UnverifiedThe workflow is adapted from a free face dataset generation solution by community creator u/acekiube, with the core changes being adaptation to the Qwen-Image 2.1 model and adjustments to prompts and parameters.
50%UnverifiedThe best configuration tested by the author was a CFG of approximately 3, 25 sampling steps, and the res_multistep sampler paired with a simple scheduler.
50%UnverifiedOn Qwen-Image 2.1, a lower CFG value (3) generally produces more natural output with less of an overfitting feel.
50%UnverifiedIncluding image generation in the open-source plan marks Qwen's first comprehensive opening in the direction of generative vision
50%UnverifiedAlibaba's Tongyi Qianwen (Qwen) team confirmed via their official X account that their image generation model Qwen-Image 2.1 will go open-source
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