Qwen Edit 2511 – High‑Resolution Edit Workflows with FP8 Model

After five months of experimentation, the author finally cracked the Qwen Edit 2511 workflow, achieving high‑resolution edits that outperform the official Qwen chat implementation and Klein in certain aspects. The minimalistic workflows use only native ComfyUI nodes and require 20 steps instead of the typical 30, yet deliver superior prompt adherence and quality. Reference images come from Z‑Image Base and Anima, and the configuration changes how reference inputs are handled to fix ComfyUI’s implementation issues. The main model is a 22 GB FP8 checkpoint, requiring roughly 26 GB of combined RAM and VRAM; the FP8 version outperforms Q8 GGUF and lower quants. The text encoder should also be the FP8 version for best results, while GGUF encoders reduce quality. The workflow includes a VAE and optional lightning loras, though the latter are discouraged due to plastic‑skin artifacts. Users can run the workflow with 20 steps, then upscale if desired.

The author provides download links for the FP8 model, GGUF versions, and the minimalistic workflow files on CivitAI and Pastebin. The configuration is portable and can be migrated to existing workflows. The release demonstrates how careful reference handling and native node usage can unlock high‑quality edits in ComfyUI.

The workflow is ideal for developers seeking to integrate Qwen Edit 2511 into their pipelines for high‑resolution image editing with minimal computational overhead.