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 2