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CyberIllustrious Realism is a specialized LoRA designed to add natural realism to Illustrious-based models while preserving the signature aesthetics, shapes, and character traits of the original checkpoint.
Instead of overwriting the style, it enhances it - giving you more detail, texture, and believable skin/lighting without losing what makes Illustrious… Illustrious.
How to use
Recommended strength: 0.7 – 1.0
Works on any Illustrious model, including:
CyberIllustrious
CyberIllustrious Anime
CyberIllustrious Semi-Realistic
What it does
Adds realistic detail (skin texture, lighting, color depth)
Keeps the original Illustrious style, proportions, and facial structure
Great for users who want a more grounded look without switching checkpoints
Fun experimentation on Anime or Semi-Realistic variants (don’t expect full realism - but expect interesting results!)
Description
A realism-enhancing LoRA for all Illustrious-based models. Adds natural details and lighting while preserving the original Illustrious style. Works best at 0.7–1.0, and pairs perfectly with CyberRealistic Illustrious V8 / V8alt.
FAQ
Comments (3)
This has exactly the same file size and file size on disk as Cyberrealistic_v80Redux.safetensors has.
Is this just a copy paste under a new name?
File size of
"cyberrealistic_v80Redux.safetensors"
Size: 6.61 GB (7,105,347,814 bytes)
Size on disk: 6.61 GB (7,105,355,776 bytes)
file size of "cyberrealistic_illustSemiRealV11.safetensors"
Size: 6.61 GB (7,105,347,814 bytes)
Size on disk: 6.61 GB (7,105,355,776 bytes)
I think the identical file size comes from the identical number of weight/parameters in the base model. You can actually see this with a lot of different checkpoints. If you want to see if they are really identical, you should test it with running both checkpoints with identical input parameters and loras or you need to do an md5 check on both files and compare the hashes...
A 243 MB LoRA and a 6.61 GB checkpoint are completely different things, so comparing their file sizes makes zero sense.
LoRAs always sit around a few hundred MB depending on rank/dim - checkpoints sit in the gigabytes. Totally different formats, different structures, different purposes.
As for the two checkpoints being the same size:
Yes, they are. Because they’re pruned properly.
Most of my checkpoints end up identical in file size - SDXL have fixed tensor shapes, and pruning removes unused weights while keeping that structure intact. When you prune multiple models the same way, they naturally converge to the same byte count.
That does not mean they are the same model.
If you load them, generate even one prompt, or inspect their weights, you’ll see immediately that they behave nothing alike. Different datasets, different training, different style - the only thing they share is a cleaned-up, pruned structure.
The “same file size = copy/paste” assumption just doesn’t apply to ML checkpoints. File size tells you nothing about the actual content.
And if for some reason you have “the same content,” then you probably made a mistake on your end: wrong file, overwritten download, browser caching, whatever. The models are not identical.
Details
Available On (2 platforms)
Same model published on other platforms. May have additional downloads or version variants.