Read the "About this version" section to know what changes I made to the model.
TL;DR: This model is a direct fine-tuning from AnyLoRA, unlike AingDiffusion, which merges multiple models and some personal datasets.
The dataset used to fine-tune the model is still small, but already significantly affects the model.
The model is still in development, and I will significantly update the dataset.
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ElixirProject is a direct fine-tuning from AnyLoRa. This model is capable of generating high-quality anime images.
Guide to generating good images with this model
Use any negative embeddings (I recommend my stuff, AissistV2, which I develop for my models.)
The recommended sampler are "DPM++ 2M Karras" and "DPM++ 2M SDE Karras"
Hi-res fix is recommended. The recommended upscaler is "4x-AnimeSharp"
Set clip skip to 2 (recommended, fine-tune dataset is trained on clip skip 2), ENSD (eta noise seed delta) to 31337 [to replicate image], and eta (noise multiplier) for ancestral samplers to 0.667.
Description
Adding the dataset twice as much from v1.1, also means it's 20 times the v1.0 dataset. I also fine-tuned the dataset with a new approach to tag the dataset. The overall look of the generated image is also better than v1.1.
FAQ
Details
Files
Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.


