---
license: other
license_name: faipl
license_link: https://freedevproject.org/faipl-1.0-sd
language:
- en
tags:
  - text-to-image
  - stable-diffusion
  - safetensors
  - stable-diffusion-xl
base_model: cagliostrolab/animagine-xl-3.1
widget:
  - text: >-
      1girl, green hair, sweater, looking at viewer, upper body, beanie,
      outdoors, night, turtleneck, masterpiece, best quality
    parameter:
      negative_prompt: >-
        nsfw, lowres, bad anatomy, bad hands, text, error, missing fingers,
        extra digit, fewer digits, cropped, worst quality, low quality, normal
        quality, jpeg artifacts, signature, watermark, username, blurry, artist
        name
    example_title: 1girl
---
<style>
  .title-container {
    display: flex;
    justify-content: center;
    align-items: center;
    height: 100vh; /* Adjust this value to position the title vertically */
  }
  
  .title {
    font-size: 2.5em;
    text-align: center;
    color: #333;
    font-family: 'Helvetica Neue', sans-serif;
    text-transform: uppercase;
    letter-spacing: 0.1em;
    padding: 0.5em 0;
    background: transparent;
  }
  
  .title span {
    background: -webkit-linear-gradient(45deg, #bdabe3, #b39a3e);
    -webkit-background-clip: text;
    -webkit-text-fill-color: transparent;
  }
  
  .custom-table {
    table-layout: fixed;
    width: 100%;
    border-collapse: collapse;
    margin-top: 2em;
  }
  
  .custom-table td {
    width: 50%;
    vertical-align: top;
    padding: 10px;
    box-shadow: 0px 0px 0px 0px rgba(0, 0, 0, 0.15);
  }
  .custom-image-container {
    position: relative;
    width: 100%;
    margin-bottom: 0em;
    overflow: hidden;
    border-radius: 10px;
    transition: transform .7s;
    /* Smooth transition for the container */
  }
  .custom-image-container:hover {
    transform: scale(1.05);
    filter: none;
    /* Scale the container on hover */
  }
  .custom-image {
    width: 100%;
    height: auto;
    object-fit: cover;
    border-radius: 10px;
    transition: transform .7s;
    margin-bottom: 0em;
  }
  .nsfw-filter {
    filter: blur(8px); /* Apply a blur effect */
    transition: filter 0.3s ease; /* Smooth transition for the blur effect */
  }
  
  .overlay {
    position: absolute;
    bottom: 0;
    left: 0;
    right: 0;
    color: white;
    width: 100%;
    height: 40%;
    display: flex;
    flex-direction: column;
    justify-content: center;
    align-items: center;
    font-size: 1vw;
    font-style: bold;
    text-align: center;
    opacity: 0;
    /* Keep the text fully opaque */
    background: linear-gradient(0deg, rgba(0, 0, 0, 0.8) 60%, rgba(0, 0, 0, 0) 100%);
    transition: opacity .5s;
  }
  .custom-image-container:hover .overlay {
    opacity: 1;
  }
  .overlay-text {
    background: linear-gradient(45deg, #7ed56f, #28b485);
    -webkit-background-clip: text;
    color: transparent;
    text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.7);
    
  .overlay-subtext {
    font-size: 0.75em;
    margin-top: 0.5em;
    font-style: italic;
  }
    
  .overlay,
  .overlay-subtext {
    text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.5);
  }
    
</style>
<h1 class="title">
  <span>UrangDiffusion 1.4</span>
</h1>
<table class="custom-table">
  <tr>
    <td>
      <div class="custom-image-container">
        <img class="custom-image" src="https://cdn-uploads.huggingface.co/production/uploads/64333a074521083b9d2aab3b/jsyeY4utstuMKH3euh-Ix.png" alt="sample1">
      </div>
      <div class="custom-image-container">
        <img class="custom-image" src="https://cdn-uploads.huggingface.co/production/uploads/64333a074521083b9d2aab3b/ZlJxvv-33cMG6o5wcym6t.png" alt="sample4">
      </div>
    </td>
    <td>
      <div class="custom-image-container">
        <img class="custom-image" src="https://cdn-uploads.huggingface.co/production/uploads/64333a074521083b9d2aab3b/E13T0Vp6VAs6PKHk_AqW2.png" alt="sample2">
      </div>
      <div class="custom-image-container">
        <img class="custom-image" src="https://cdn-uploads.huggingface.co/production/uploads/64333a074521083b9d2aab3b/HEvvWe8wuefG_GtFueE0z.png" alt="sample3">
    </td>
    <td>
      <div class="custom-image-container">
        <img class="custom-image" src="https://cdn-uploads.huggingface.co/production/uploads/64333a074521083b9d2aab3b/yEcm1kGs_3eLF3fo0XxfB.png" alt="sample1">
      </div>
      <div class="custom-image-container">
        <img class="custom-image" src="https://cdn-uploads.huggingface.co/production/uploads/64333a074521083b9d2aab3b/53rtgGxO7ZUDrPnj8Wfd7.png" alt="sample4">
      </div>
    </td>
  </tr>
</table>

**UrangDiffusion 1.4** (oo-raw-ng Diffusion) is an updated version of UrangDiffusion 1.3. This version provides refreshed dataset, better image tagging, improvements over the last iteration, training parameter correction, and better overall generation results.

## Standard Prompting Guidelines
The model is finetuned from Animagine XL 3.1. However, there is a little bit changes on dataset captioning, therefore there is some different default prompt used:

**Default prompt**: 
```
1girl/1boy, character name, from what series, everything else in any order, masterpiece, best quality, amazing quality, very aesthetic
```

**Default negative prompt**: 
```
nsfw, lowres, (bad), text, error, fewer, extra, missing, worst quality, jpeg artifacts, low quality, watermark, unfinished, displeasing, oldest, early, chromatic aberration, signature, extra digits, artistic error, username, scan, [abstract],
```

**Default configuration:** 

Default configuration: Euler a with around 25-30 steps, CFG 5-7, and ENSD set to 31337. Sweet spot is around **26 steps** and **CFG 5**.

## Training Configurations

- Finetuned from: [Animagine XL 3.1](https://huggingface.co/cagliostrolab/animagine-xl-3.1)

**Pretraining:**

- Dataset size: 34,368 images

- GPU: 1xA100

- Optimizer: AdaFactor

- Unet Learning Rate: 3.75e-6

- Text Encoder Learning Rate: 1.875e-6

- Batch Size: 48

- Gradient Accumulation: 1

- Warmup steps: 100 steps

- Min SNR Gamma: 5

- Epoch: 10 (epoch 9 is used)

**Finetuning:**

- Dataset size: 7,104 images

- GPU: 1xA100

- Optimizer: AdaFactor

- Unet Learning Rate: 3e-6

- Text Encoder Learning Rate: - (Train TE set to False)

- Batch Size: 48

- Gradient Accumulation: 1

- Warmup steps: 5%

- Min SNR Gamma: 5

- Epoch: 10 (epoch 8 is used)

- Noise Offset: 0.0357

## Added Series

**Wuthering Waves**, **Zenless Zone Zero**, **Sewayaki Kitsune no Senko-san**, and **hololiveEN -Justice-** have been added to the model. 

## Special Thanks
- **CagliostroLab** for sponsoring the model pretraining by letting me borrowed the organization’s RunPod account.

- **My co-workers(?) at CagliostroLab** for the insights and feedback.

- **Nur Hikari** and **Vanilla Latte** for quality control.

- **Linaqruf**, my tutor and role model in AI-generated images.

## License
**UrangDiffusion 1.4** falls under the **[Fair AI Public License 1.0-SD](https://freedevproject.org/faipl-1.0-sd/)** license.