AkashicPulse EQVAE is a model based on AkashicPulse series, but fine-tuned to utilize Anzhc's EQVAE as its VAE. (In theory,) This improve the model generation color and accuracy.
Recommended settings [UPDATED FOR V1.0.x]:
Same like v0.2, the model is in between needing RescaleCFG and not needing it. Expect to turn on and off this a lot.
The usage of artist tags IS HIGHLY RECOMMENDED. Put it at the FRONT of your prompt (and use BREAK if your generation platform support it).
Steps: 32-50
CFG: 7-10 with RescaleCFG on or off, or 4.5-6 if you don't wanna touch RescaleCFG
RescaleCFG: 0.7 OR OFF, inspect generated image quality if something is off.
Sampler: Euler a (or try AkashicSolver available on Adept Sampler with AkashicAOS).
Noise Scale: 0.9, using 1.0 will cause the model to over-generate noise.
Recommended negative prompt:
worst quality, low quality, bad anatomy, bad hands, text, signature, watermark, username, artist name, [things you want to remove]WARNING: Using excessive negative prompt might resulting the model to lose its quality.
Model Specs:
v1.0.2
Based on: AkashicPulse EQVAE v1.0.1-Base
Dataset size: ~21k
Epoch posted: Epoch 10 out of 10
EQVAE used: Anzhc's EQVAE B7
v1.0-v1.0.1
Based on: AkashicPulse EQVAE v0.2
Dataset size: ~4.6k
Epoch posted: Epoch 15 out of 15
EQVAE used: Anzhc's EQVAE B7
v0.2 [CHECK ABOUT THIS VERSION FOR DETAILS]
Based on: AkashicPulse EQVAE v0.1
Dataset size: ~9.4k
Epoch posted: Epoch 7 out of 10.
EQVAE used: Anzhc's EQVAE B7
v0.1
Based on: AkashicPulse 4.1
Dataset size: 10.6k, repeated twice.
Epoch posted: Epoch 9 out of 10.
EQVAE used: Anzhc's EQVAE B7
Description
The v1.0.1 version I uploaded was a merge between this model and v1.0, which upon future testing feels keeping both bad side of v1.0 and this model.
I'm not a merge master (despite starting my whole career here as a model merger), so maybe if I release this model someone will try merge and create something better.
This model weakness:
Less aesthetic than v1.0
Anatomy sometimes broke
v1.0 weakness:
Poor on white background
Needing much parameter settings to generate good images
This model fixes v1.0 weakness while having new issue.