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d3caricature

21
460
2
Updated: Oct 5, 2024
style3dcaricaturecartoons
Verified:
PickleTensor
Type
Embedding
Stats
289
0
Reviews
Published
Jul 4, 2023
Base Model
SD 2.1 768
Training
Steps: 9,000
Trigger Words
d3caricature-beta-z
Hash
AutoV2
DF76CBBFD1
default creator card background decoration
PI
pivot

Do you want to create characters with big ears, low forehead, prominent nose and exaggerated facial expression? You got it, that's what d3caricature aims to create!

This is my first attempt at creating an embedding (long live Textual Inversion!) for Stable Diffusion, and during a steep learning curve over the last month or so this is the result.

Works with "vanilla" Stable Diffusion 2.1 768, but also with a multitude of other 2.1 models. Does not affect animals (much), only people, and will also create quite extreme results in many cases.

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Therefor I have included three versions of this embedding:

d3caricature-beta-x - a 1 vector evenly distributed version (lowest impact)
d3caricature-beta-y - a 6 vector "half weight" evenly distributed version (medium impact)
d3caricature-beta-z - a 6 vector full-on evenly distributed version (high impact)

Experiment by using them at the beginning of the prompt, in the middle, or at the end, with higher or lower weights, or higher/lower CFG.

They have been thoroughly tested with stable-diffusion-2.1-768, but I highly recommend using them with other 2.1 models such as perpetualDiffusion10_v10Moon (and sun) and illuminatiDiffusionV1_v11.

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All versions of the embedding is based on the same training set of 68 hand picked and fine-tuned images, in the training course of:

  • 500 steps @ lr 0.375-0.5 (linear with warmup)

  • 1000 steps @ lr 0.075-0.1 (linear with warmup)

  • 1000 steps @ lr 0.015-0.02 (linear with warmup)

  • 2000 steps @ lr 0.003-0.004 (linear)

  • 2500 steps @ lr 0.0006-0.0008 (linear)

  • 2500 steps @ lr 0.00016

All training done with 4 gradient_accumulation_steps, in invokeai 2.3.5, and then combined using a1111 with the Embedding Inspector extension.

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I really do hope that you find this embedding useful and that you have loads of fun with it! This embedding is in beta state, but I have no idea if it will ever reach a "release candidate" state, nor will I even expect it to do so.

It was created simply because I had an idea that I could not let go of and just had to create ;)

Thank you, and enjoy!
Much love