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)
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 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.
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 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.
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.
The author acknowledges that the workflow is still in a testing phase and is openly soliciting community feedback on prompt wording, parameter settings, and sampler selection.
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.
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All Facts (10)
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%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%UnverifiedOn Qwen-Image 2.1, a lower CFG value (3) generally produces more natural output with less of an overfitting feel.
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%UnverifiedUploading two reference images (a frontal photo plus one image from a side angle) can noticeably improve the identity consistency of generated results.
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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