ElixirProject版本v1.4 (ID: 318939)

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.

描述:

I've retrained the dataset using the Prodigy scheduler, and the result seems better than v1.3. I'm also adding a new dataset to the model. So there are 2 datasets right now.

训练词语: