Sign In

Shavings - Style

393
2.2k
870
14
Updated: Oct 5, 2024
styleanimeartstyle
Verified:
SafeTensor
Type
LoRA
Stats
1,871
860
Reviews
Published
Apr 2, 2023
Base Model
SD 1.5
Hash
AutoV2
ABDDC99804
default creator card background decoration
Inzaniak's Avatar
Inzaniak

What's this LoRA

This is a LoRA trained on a particular style. It is biased towards a particular style and hourglass type bodies.

The images in the examples are created using only this LoRA and different models (mainly my customs: https://civitai.com/models/24149 and https://civitai.com/models/26332)

You don't need to specify a word to trigger this LoRA.

The LoRA works well on NSFW (check last examples).

The images are created using different weights (you can check on the image generation panel)

Different Flavors

My LoRAs are usually trained on AI generated images in two different steps. The first training uses images generated using a model (I choose it based on what I'm going to build) with a size of 512x768, and this is usually 10 images with different content but a similar style. The second training is based on pictures generated using the LoRA from the first step. This is done at a higher resolution (768x1152) and the output is usually upscaled using img2img.

The LoRA is available in two different flavors:

  • RAW: This is based on the first batch of images, it has usually a more creative output, but usually needs hiresfix or img2img to really shine

  • Standard: This is based on the second batch of images, it has usually a less creative output, but way more stable.

Here's a quick comparison (not cherry-picked):

RAW:

Standard:

Guides

Learn how to create pictures like mine with my step-by-step tutorials:

If you want to create images with a high LoRA weight, I highly suggest you to check the tutorial.

Support

If you want to support my work, you can check out my music here:

https://inzaniak.bandcamp.com/

You can also check my AI Art accounts, where you'll find daily pictures made with my models (and previews of new ones coming):