Deploying Qwen-Image-2.1 on DGX Spark with GPUStack

On November 1, 2026, a post on cnblogs.com described a project that ports the 3D puppet pose-to-character transfer capability of VNCCS to the Qwen-Image-2.1 pipeline. The article, titled 'VNCCS 人偶姿势迁移接入 Qwen-Image-2.1 工作流解析', was written by an individual developer and has not been corroborated by other sources.

According to the post, the approach has two key inputs. The first is a target pose built in VNCCS PoseStudio, a 3D puppet editor, which is rendered into a pose condition image. The second is a character reference image that fixes the appearance of the person to be regenerated. Both are then passed into the Qwen-Image-2.1 pipeline, which performs pose transfer while preserving character consistency across outputs.

The author goes beyond a surface-level walkthrough: the article breaks down the underlying mechanism explaining how the pipeline actually achieves the transfer, then lays out the full workflow from puppet setup through final generation, and closes with example outputs illustrating the results. The author does not provide benchmark comparisons against alternative pose-transfer methods or implementation details such as model variants or sampling settings.

As of this writing, the project exists only as a single cnblogs.com post. No repository, open-source release, or independent verification has appeared in the available sources, so its reproducibility and generalization to other characters or pose styles remain open questions.