Happy Accident: Presenting happyRealism (and its Inpainting version)
I accidentally created this model while running structural tests for my Python learning journey. It is a precise merge featuring exactly one-third of each of the following fantastic checkpoints:
absoluteReality (v1.8.1)
realisticVision (v6.0 B1 VAE)
epiCRealism (Natural Sin)
During my testing, it proved to be an outstanding model—especially when interacting with IP-Adapter—delivering incredible facial accuracy along with great body proportions and rich details. I decided this happy accident deserved to be shared, so please welcome happyRealism.
All credit goes entirely to the brilliant creators of the original models (and well, a little shout-out to my Python coding partner, Google's AI).
All the example images were generated using some of my custom virtual models, a few fantastic outfit LoRAs from user Sentimental_wenlou, and a straightforward workflow utilizing IP-Adapter, with ReActor applied for the final touch.
No ADetailer, no Hi-Res Fix, no upscalers, or any other enhancement techniques were used—just pure generation to show the raw capabilities of this model.
Hope you enjoy it as much as I do!
P.S.: Although this is a great general-purpose model, I specifically wanted to share it because of how phenomenally well it performs with IP-Adapter. Since a user in the comments have asked how to replicate the preview images—which I don't think is possible using Civitai's on-site generator—I have attached an optional file. It includes the simplest possible ComfyUI workflow alongside a reference face image of one of my custom virtual models.
To run the workflow, you will need a local ComfyUI installation with the IP-Adapter and ReActor extensions ready to go.
While you can easily enhance the results by feeding multiple face angles into both IP-Adapter and ReActor, the setup works beautifully right out of the box exactly as it is.
Description
FAQ
Comments (2)
The only example images you shared don't have their prompt data available. I'm confused about how to use this model
I have updated the description.





