This ComfyUI Workflow takes a Flux Dev model image and Refines it with an SDXL model for even more realistic results,

Version 1 can use TensorRT to speed up SDXL generation by 60%

In version 2 I took out TensorRT in favour of adding in A Controlnet Canny and Lora Support (as these are not compatible with TensorRT).

Also now supports negative prompting and CFG for better prompt following.

it also has many post-processing and blending image nodes to help perfect the outputs.

Modifying the "denoise" amount is not very intuitive, but if you want a higher denoise value to change the output more you can increase the number of SDXL steps, while fewer SDXL steps will give an image more similar to the flux output.
TensorRT Instructions (verson 1) : https://github.com/comfyanonymous/ComfyUI_TensorRT
If you don't want to use TensorRT just pull the model from the SDXL Checkpoint Loader to the Ksampler instead.

The TensorRT Build Settings I use on a RTX 3090: