Raejin Anima
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Introduction
Raejin Anima is a specialized fine-tune of the Anima base model, meticulously crafted to elevate its visual fidelity. This model addresses specific limitations found in the original, aiming to deliver a more polished, aesthetic, and balanced output while preserving the core strengths of the base model.
Training Details
v0.1 (Experimental Alpha)
Base Model: anima-preview2
Method: Full fine-tuning using the
kohya/sd-scriptstrainer.Stability: LLM Adapter was disabled during training to mitigate catastrophic forgetting, ensuring the model retains its foundational knowledge while adopting new stylistic improvements.
Dataset: Trained on a curated set of 2,2k high-quality images, utilizing a hybrid captioning strategy of both booru-style tags and natural language to enhance prompt adherence and stylistic depth.
Technical Requirements
[!IMPORTANT]
This model does not include a built-in Text Encoder or VAE. To achieve the intended results, please ensure you have downloaded these components separately.
Download Text Encoder & VAE: HuggingFage page
Recommended Settings
Sampler: Euler a or ER SDE
Scheduled type: Normal
Steps: 32
CFG: 4-5
Resolution: 832 x 1216, 1216 x 832, 1152 x 896, 896 x 1152, 1344 x 768, 768 x 1344, 1024 x 1024
Positive: masterpiece, best quality, absurdres,
Negative: low quality, worst quality, jpeg artifacts, bad anatomy, bad hands, bad proportions, mutation, deformed, extra digits, fewer digits, missing arms, missing legs, signature, watermark, username
Usage Notes
This model is currently in its experimental phase and has not reached its full version. If you encounter any issues or have suggestions for improvement, please feel free to share your feedback.
Support the Development
If you enjoy using this model and would like to support its development, consider:
Sending a tip of Yellow Buzz on this platform.
Buying me a coffee via Ko-fi
Acknowledgements
A special thanks to the community and the developers who made this project possible:
Circlestone Labs: For providing the incredible open-source Anima base model.
Kohya_ss & Contributors: For the comprehensive and powerful open-source training framework.