AIO Loaders have been removed as of v12. If you use AIO models, you can easily add a checkpoint loader to replace the existing loaders and connect them accordingly.
The default Load Diffusion Model loader looks for your Krea 2 Turbo model in the models/diffusion_models folder.
This workflow has the following functions/features:
Text to Image
Multiple Lora Loading
Wildcards
Upscale
Detailers (removed on v12)
Save Image with full resource metadata in CivitAI readable format
This workflow is not setup to work with models that use CFG higher than 1.
These will work with Anima Turbo models, but you'll have to figure out the settings.
Support Policy
These workflows are provided as-is and without guaranteed support.
I do not provide support for third-party applications, modified versions, redistributed copies, reposts, bundles, or installations obtained from unofficial sources.
Inclusion of these workflows in another project does not imply my endorsement, involvement, or responsibility for that project.
Disclaimer
Responsibility for generated content falls on the user of these workflows.
Installation of ComfyUI and/or any related custom nodes for these workflows are at the installer's own risk.
Description
v12 is a VERY stripped down workflow.
I started fresh with this workflow and the result is a faster (for me) and leaner workflow.
Wildcard usage is still available along with BKWILDCARDS.
The "empty" latent source is the SDXL Empty Latent Image node from rgthree for simplicity.
This is setup as a two KSampler (Advanced) workflow with upscaling performed via latent upscale in the 2nd KSampler (Advanced) node.
Separate lora loaders are available for each KSampler and are set to match the color of the KSampler they are connected to.
Image Saver to save the image with CivitAI readable metadata. ComfyUI Manager doesn't seem to list the latest version of Image Saver. I recommend getting it from the project page.
A note with links to all the custom nodes used in this workflow can be found on the far left side.
TL;DR of how the workflow works (these are the default settings):
Pick the initial resolution on the SDXL Empty Latent Image node.
This can be swapped for your preferred Empty Latent node. Just connect your latent output to the "latent_image" input on the blue KSampler.
Set the Upscale Latent by "scale_by" setting to 2.00 to perform a 2x upscale. This can be adjusted as needed.
I use the two KSampler (Advanced) to generate the initial image and proceed straight into the upscale.
On both KSamplers:
Steps: 10
CFG: 1.0
Sampler: euler
Scheduler: simple
On the blue KSampler:
start_at_step: 0
end_at_step: 6
On the red KSampler:
start_at_step: 6
With these settings, I get a 2x upscaled image in around 35 to 40 seconds on a 5060ti 16GB with comfy kitchen enabled. Adding additional loras will likely increase the generation time.
NOTE: You can choose to use only one KSampler. Just make sure to bypass the 2nd KSampler and the Upscale Latent by node.
Removed:
AIO Loader
LC123 nodes
Krea2 NegPip
Prompt Reformat
Detailer
SeedVR2