Community cracks high-res Qwen Edit 2511 with minimalistic workflows

A Reddit user who previously figured out optimal settings for Qwen Edit 2509 has now cracked the case for Qwen Edit 2511 (dubbed 'Qwedit'). For five months, users struggled to replicate the quality shown in official Qwen team examples and the online chat implementation when using ComfyUI. The user identified that ComfyUI's implementation has serious bugs causing poor prompt adherence and low-resolution outputs. Their minimalistic workflows fix these issues entirely by changing how reference inputs are processed, using only native Comfy nodes for maximum portability. The result is significantly improved output quality, especially for character likeness in new shots, making Qwedit superior to models like Klein in certain tasks. The workflows come in two flavors: normal (with quality-of-life custom nodes) and dev (clutter-free for copying logic). All example outputs are raw at 20 steps without upscaling, and the user recommends 30 steps for best results. Reference images were generated using Z-image Base (SDXL) and Anima workflows.

The key technical insight is that ComfyUI's default handling of reference images degrades both resolution and style consistency. By feeding reference inputs through proper compositing and conditioning nodes, the user achieves high-resolution edits (up to 2x the base resolution) while maintaining fine details and character identity. The workflows support both single-image and two-image edit modes, with the two-image setup requiring more careful configuration but enabling stronger style transfer. The user emphasizes that this configuration is 100% portable and can be migrated to existing workflows without credit. They recommend using Qwedit for character consistency tasks and Klein for other scenarios, as each excels in different areas. The post includes links to CivitAI and Pastebin for direct workflow downloads, plus a Google Drive album of high-res examples.