
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
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Use any negative embeddings (I recommend my stuff, AissistV2, which I develop for my models.)
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The recommended sampler are "DPM++ 2M Karras" and "DPM++ 2M SDE Karras"
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Hi-res fix is recommended. The recommended upscaler is "4x-AnimeSharp"
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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:
名称: elixirproject_v14.safetensors
大小 (KB): 2082644
类型: Model
Pickle 扫描结果: Success
Pickle 扫描信息: No Pickle imports
病毒扫描结果: Success