06/04/2025

Updated workflow for for V 0.2 Nunchaku nodes!
Added support for ControlNets.
Added support batch image upscaling.
Can now use First Block Cache optimization. (set to 0.150 as default in the Nunchaku node)


04/12/2024 - Fixed Bug with "NAN" in image saver mode since last ComfyUI release.

This ComfyUI Workflow takes a Flux Dev model image and gives the option to refine it with an SDXL model for even more realistic results or Flux if you want to wait a while!

Version 5.1: (fixed missing positive prompt on upsacler 13/Nov/2024)

• Lying Sigma Sampler node for increased details.

• Custom Scheduler node to reduce "Flux Lines"

• Flux Inpainting

• Triple Clip Loader

• Cleaned up some spaghetti with Anything Everywhere nodes (but it is still a spaghetti monster).

I don't really use the SDXL "Refiner" section anymore as my Flux models have now surpassed my SDXL models in image quality, must of the images I post go thought the SD Ultimate [Tiled] Upscaler ar between 0.33 and 0.39 denoising.

Version 4:

Added Flux SD Ultimate Upscale
Added Force Clip to CPU selector
Neatened up a few nodes and groups (still work to be done tidying things up a lot)

Version 3:

Made several improvements, Now has Flux or SDXL upscale re-routing, load image, Sepate T5 and Clip Prompts and now there are Loras out to actually use with it.

I recommend this lora for details: https://civarchive.com/models/636355/flux-detailer

And these for nudity:
https://civarchive.com/models/640156/scg-anatomy-flux1d?modelVersionId=715962
https://civarchive.com/models/639094/rnormalnudes-for-flux?modelVersionId=716917

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.

Version 1.

Can use TensorRT to speed up SDXL generation by 60%

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: