Hello there and thanks for checking out this workflow!

—Purpose—

Built to provide an advanced and modular workflow for Flux with focus on efficiency and information.

As usual the workflow is accompanied by many notes explaining nodes used and their settings, personal recommendations and observations.

Features :

• Convenient loaders for all common versions of Flux

• Hyper-LoRA acceleration + guide

• LoRA support

• ControlNet presets for Canny, Depth and HED

• IPAdapter

• Installation and download guide for models and nodes

• 3 passes with optional upscales : txt2img2img2img

► Noise Injection Alteration (NInjA)
► Upscale with Upscale Model
► Upscale with Upscale Model + Tiled Diffusion

—OverClocked—

The OC version was built to make use of this specific LoRA—Flux Dev to Schnell 4 step LoRA—in conjunction with settings and tweaks aiming to make the most out of it.

That meant dropping the xlabs sampler (so no ControlNet in the OC version) to be able to build a custom sampler fitting the task.

—Custom Nodes used—

• ComfyUI-Easy-Use

• ComfyUI-GGUF

• ComfyUI-Impact-Pack

• ComfyUI-mxToolkit

• ComfyUI-TiledDiffusion

• ComfyUI_bitsandbytes_NF4

• ComfyUI_essentials

• ComfyUI_IPAdapter_plus

• cg-use-everywhere

• execution-inversion-demo-comfyui

• rgthree-comfy

• was-node-suite-comfyui

• x-flux-comfyui

All of which can be installed through the ComfyUI-Manager
In case ComfyUI_bitsandbytes_NF4 does not appear in the custom node packs list you need to set "Channel: dev". (Found in the top left of the ComfyUI Manager Menu)
→ Do not forget to turn the channel setting back to default again afterwards

If you encounter any nodes showing up red (failing to load), you can install the corresponding custom node packs in most cases through the 'Install Missing Custom Nodes' tab on the ComfyUI Manager as well.

Detailed instructions and links to required/recommended models, along with the folders they need to be placed in, are included.

Feel free to ask any questions, share improvements or suggestions in the comment section!
Also let me know if you encounter any confusing points I can elaborate on and focus on improving for the next update!