Harmony
added ControlNet tested with (based Flux model) Genova APEX 1_618 (https://civarchive.com/models/954608/genova-apex)
HyperDetailer(for Krita) tested with (based Flux model) Genova APEX 1_618 (https://civarchive.com/models/954608/genova-apex) and Krita Editor
HyperDetailer is a workflow designed to significantly enhance detail, ensuring clarity, realism, and preservation of textures even in the smallest elements. It is perfect for image processing, 3D modeling, and digital art. This workflow configured for creating images using the GENOVA APEX- https://civarchive.com/models/954608, Hyper Gene Quantum- https://civarchive.com/models/885573/flux-gene-beauty model.
Version(fix) CONTRAST_Fix workflow for creating images using the GENOVA APEX https://civarchive.com/models/954608/genova-apex models.
For more color contrast, I added 1 node and reconfigured some nodes.
Version 12K Quantum new workflow for creating 12K images using the Hyper Gene Quantum model https://civarchive.com/models/885573/flux-gene-beauty , incorporating the Detail Daemon https://github.com/Jonseed/ComfyUI-Detail-Daemon and upscale models https://openmodeldb.info/models/2x-classicalSR-DF2K-s64w8-SwinIR-M and https://openmodeldb.info/models/4x-classicalSR-DIV2K-s64w8-SwinIR-M for enhanced image quality:
Older versions:
Workflow for makes photos.
This Workflow also works with the Hyper Gene model (8 steps) https://civarchive.com/models/885573/flux-gene-beauty , sempler 8 steps and hires fix 5 steps.
Description
This is a new workflow for creating 12K images using the Hyper Gene Quantum model, incorporating the Daemon Detailer and an upscale for enhanced image quality.
FAQ
Comments (5)
Great workflow both in terms of organization and results!
Thank you for the kind feedback!
Help me understand what the reason might be. The process stops on the node Sampler Custom Advanced (Advance upscaler)
Hi! Is any node highlighted in red? Are the models for upscaling loaded? Also, the size of RAM and VRAM on the hardware matters. First, upscale 2x is applied, and only then 4x. If done in reverse, the process will take significantly longer. Yes, the upscaling models are different: one is for 2x and the other for 4x.
@DNA_1_618 Somehow I fixed it. Thank you.