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fp16 SafeTensor
ElixirProject-v1.1.safetensors
Half precision, best balance • 1.99 GB
Verified: 3 years ago
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(69)
Jan 11, 2024
The dataset used to fine-tune the model is now 10 times bigger than v1.0, and it's already showing better results. I will try to keep updating the dataset, but right now I'm sick and will take a rest after this.
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1.6K0 1 2 3 4 5 6 7 8 9.0 1 2 3 4 5 6 7 8 9K
19.2K0 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 9.0 1 2 3 4 5 6 7 8 9K
257.1K0 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 90 1 2 3 4 5 6 7 8 9.0 1 2 3 4 5 6 7 8 9K

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.


