---
title: Raejin-Anima
canonical_url: "https://www.modelscope.ai/models/Raelina/Raejin-Anima"
md_url: "https://www.modelscope.ai/models/Raelina/Raejin-Anima.md"
repository: Raelina/Raejin-Anima
last_updated: 2026-03-24
license: other
base_model_relation: finetune
parameters: 2.8B
tensor_type:
  - BF16
library_name:
  - lora
  - safetensors
  - pytorch
frameworks:
  - Pytorch
downloads: 459
stars: 0
tags:
  - diffusion-single-file
  - comfyui
  - text-to-image
  - anime
---

# Raejin-Anima

> Raejin-Anima - An open-source model by Raelina on ModelScope. body { display: flex; align-items: center; justify-content: center; height: 100vh; margin: 0; font-family: Arial, sans-serif; background-color: #f4f4f9; overflow: auto; }

Raelina/Raejin-Anima is a 2.8B-parameter machine learning model on ModelScope. licensed under other.

- **Repository**: Raelina/Raejin-Anima
- **License**: other
- **Parameters**: 2.8B
- **Tags**: diffusion-single-file, comfyui, text-to-image, anime
- **Downloads**: 459
- **Stars**: 0
- **Last updated**: 2026-03-24

Source: https://www.modelscope.ai/models/Raelina/Raejin-Anima

---

<style>

body {
  display: flex;
  align-items: center;
  justify-content: center;
  height: 100vh;
  margin: 0;
  font-family: Arial, sans-serif;
  background-color: #f4f4f9;
  overflow: auto;
}

.container {
  display: flex;
  flex-direction: column;
  align-items: center;
  justify-content: center;
  width: 100%;
  padding: 20px;
}

.title-container {
  display: flex;
  flex-direction: column;
  justify-content: center;
  align-items: center;
  padding: 1em;
  border-radius: 10px;
}

.title {
  font-size: 3em;
  font-family: 'Montserrat', sans-serif;
  text-align: center;
  font-weight: bold;
}

.title span {
  background: -webkit-linear-gradient(45deg, #FF9D3D, #AB886D, #CB80AB);
  -webkit-background-clip: text;
  -webkit-text-fill-color: transparent;
}

.gallery {
  display: grid;
  grid-template-columns: repeat(4, 1fr);
  gap: 10px;
}

.gallery img {
  width: 100%;
  height: auto;
  margin-top: 0px;
  margin-bottom: 0px;
  border-radius: 10px;
  box-shadow: 0 4px 8px rgba(0, 0, 0, 0.2);
  transition: transform 0.3s;
}

.gallery img:hover {
  transform: scale(1.05);
}

.note {
  font-size: 1em;
  opacity: 50%;
  text-align: center;
  margin-top: 20px;
  color: #555;
}
  
</style>

<div class="container">
  <div class="title-container">
    <div class="title"><span>Raejin Anima</span></div>
  </div>
  <div class="gallery">
    <img src="https://cdn-uploads.huggingface.co/production/uploads/64b24543eec33e27dc9a6eca/To-K1S6l_Kz_VC60Nh8_J.png" alt="Image 1">
    <img src="https://cdn-uploads.huggingface.co/production/uploads/64b24543eec33e27dc9a6eca/Ku5fvIDEoEkfXaJ25Sjjk.png" alt="Image 2">
    <img src="https://cdn-uploads.huggingface.co/production/uploads/64b24543eec33e27dc9a6eca/qUpk0SF2BiKbVyt8vCQZX.png" alt="Image 3">
    <img src="https://cdn-uploads.huggingface.co/production/uploads/64b24543eec33e27dc9a6eca/K4p1kVmS33DBtC8M1tf-l.png" alt="Image 4">
  </div>
</div>

## Overview
**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.

## Model Details
- **Developed by**: [Raelina](https://civitai.com/user/Raelina)
- **Model type**: Diffusion-based text-to-image generative model
- **Finetuned from**: [Anima](https://huggingface.co/circlestone-labs/Anima)
- **Prompt style**: Booru-style tags and Natural Language

## Training Details
**v0.1 (Experimental Alpha)**
- Base Model: anima-preview2
- Method: Full fine-tuning using the kohya/sd-scripts trainer.
- 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.

## Recommended settings

- **Positive prompts:**

```
masterpiece, best quality, absurdres
```

- **Negative prompts:**
```
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
```

- **CFG:** 4-5
- **Sampling steps:** 30-50
- **Sampler:** Euler a or ER SDE
- **Scheduled type:** Normal
- **Standard Resolution:**
```
832 x 1216, 1216 x 832, 1152 x 896, 896 x 1152, 1344 x 768, 768 x 1344, 1024 x 1024
```
## 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

## Support
If you’d like to support this project or my other developments, you can buy me a coffee on [Ko-Fi](https://ko-fi.com/raelina)

## License
[CircleStone Labs Non-Commercial License](https://huggingface.co/circlestone-labs/Anima/blob/main/LICENSE.md)