FLux2Klein 9B Upscale/Edit workflow
A new ComfyUI workflow tackles the biggest pain point in AI image editing: preserving details during upscaling.
An independent developer known as Capitan01R has released a viral new workflow for ComfyUI that addresses a core challenge in AI image generation: maintaining consistency and detail during the upscaling and editing process. The workflow, built around the Flux2Klein 9B model, leverages three custom nodes to create a more reliable pipeline for refining images. According to the developer, the current iteration achieves approximately 80% of the target goal for preserving original image characteristics when making adjustments, marking a significant step forward from the often unpredictable results of standard upscaling methods. The workflow is shared publicly, inviting the community to test and provide feedback for further refinement.
The technical implementation relies on custom nodes for scheduler control and tensor manipulation, specifically the 'ComfyUI-CapitanZiT-Scheduler' and 'flux2klein-tensors-control' from Capitan01R, alongside 'ComfyUI-KJNodes' from kijai. A key user instruction highlights the ongoing challenge of seed sensitivity; if outputs degrade at intermediate steps, users are advised to cancel and regenerate with a different seed. This workflow provides a structured, parameter-optimized approach where users primarily need to modify the text prompt, making advanced Flux2Klein upscaling more accessible and reproducible for the ComfyUI community, which is rapidly adopting the technique for high-fidelity image generation.
- Workflow built on Flux2Klein 9B model for high-quality image upscaling and editing.
- Uses three custom ComfyUI nodes for scheduler and tensor control to improve consistency.
- Developer reports achieving ~80% of target for detail preservation, a major improvement over baseline methods.
Why It Matters
It provides a reproducible, open-source method for professionals to upscale AI art without losing critical details and style.