AingDiffusion / README.md
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---
license: creativeml-openrail-m
---
**The model also available at CivitAI and more well-documented there: https://civitai.com/models/34553**
===
AingDiffusion (read: Ah-eeng Diffusion) is a merge of a bunch of anime models. This model is capable of generating high-quality anime images.
The word "aing" came from informal Sundanese; it means "I" or "My". The name represents that this model basically produces images that are relevant to my taste.
# Guide to generate good images with this model
From my research, this model is compatible with NovelAI's animevae and pastel-mix-vae. I highly recommend pastel-mix-vae because it produces more vibrant color than animevae.
**UPDATE [25/04/2023]**: I found an alternative VAE that you can use, ClearVAE Variant. It generates clearer images without upscaler like pastel-mix-vae did. Hi-res fix is still a good thing to do, though.
Important: Hi-res fix is a must if you want to generate high-quality and high-resolution images. For the upscaler, I highly recommend SwinIR 4x. All the samples I uploaded are using SwinIR 4x.
I also recommend using EasyNegative for negative prompts.
Set Clip skip to 2, ENSD (eta noise seed delta) to 31337 and eta (noise multiplier) for ancestral samplers to 0.667.
# Samples generated using the model (More at https://civitai.com/models/34553)
![Sample 1](sample-1.png)
![Sample 2](sample-2.png)