README.md

---
library_name: diffusers
license: openrail++
language:
- en
tags:
  - text-to-image
  - stable-diffusion
  - lora
  - safetensors
  - stable-diffusion-xl
base_model: Linaqruf/animagine-xl-2.0
widget:
- text: face focus, cute, masterpiece, best quality, 1girl, green hair, sweater, looking at viewer, upper body, beanie, outdoors, night, turtleneck
  parameter:
    negative_prompt: 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
  example_title: 1girl
- text: face focus, bishounen, masterpiece, best quality, 1boy, green hair, sweater, looking at viewer, upper body, beanie, outdoors, night, turtleneck
  parameter:
    negative_prompt: 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
  example_title: 1boy
---

<style>
  .title-container {
    display: flex;
    flex-direction: column; /* Allow vertical stacking of title and subtitle */
    justify-content: center;
    align-items: center;
    height: 100vh;
    background-color: #f5f5f5;
  }

  .title {
    font-size: 2em;
    text-align: center;
    color: #333;
    font-family: 'Verdana', sans-serif;
    text-transform: uppercase;
    padding: 1em;
    box-shadow: 0px 0px 0px rgba(0,0,0,0.1);
  }
  
  .title span {
    background: -webkit-linear-gradient(45deg, #ff9a9e, #fad0c4, #f6d365);
    -webkit-background-clip: text;
    -webkit-text-fill-color: transparent;
  }
  
  .gallery-container {
    max-width: 600px;
    margin: auto;
    text-align: center;
    position: relative;
  }

  .gallery-radio {
    display: none;
  }

  .gallery-image {
    display: none;
    width: 100%;
    margin: auto;
  }

  .gallery-image img {
    width: 100%;
    height: auto;
    border-radius: 10px;
  }

  #radio1:checked ~ #image1,
  #radio2:checked ~ #image2,
  #radio3:checked ~ #image3 {
    display: block;
  }

  .btn {
    display: inline-block;
    padding: 10px 20px;
    margin: 10px;
    background-color: #f0f0f0;
    color: black;
    border: none;
    border-radius: 5px;
    cursor: pointer;
    text-decoration: none;
    transition: background-color 0.3s;
  }

  .btn:hover {
    background-color: #ddd;
  }
</style>

<h1 class="title" style="text-align: center; font-family: Arial, sans-serif;">
  <span>Anime Slider XL LoRA</span>
</h1>

<div class="gallery-container">
  <input type="radio" name="gallery" id="radio1" class="gallery-radio">
  <input type="radio" name="gallery" id="radio2" class="gallery-radio" checked>
  <input type="radio" name="gallery" id="radio3" class="gallery-radio">

  <label for="radio1" class="btn">Image 1</label>
  <label for="radio2" class="btn">Image 2</label>
  <label for="radio3" class="btn">Image 3</label>

  <div id="image1" class="gallery-image">
    <img src="https://cdn-uploads.huggingface.co/production/uploads/6365c8dbf31ef76df4042821/RFtKV5Q6-8pWRzUA7AjOw.png" alt="sample1">
  </div>
  <div id="image2" class="gallery-image">
    <img src="https://cdn-uploads.huggingface.co/production/uploads/6365c8dbf31ef76df4042821/8_Z2IYeTOYJAMuFyJBRwX.png" alt="sample2">
  </div>
  <div id="image3" class="gallery-image">
    <img src="https://cdn-uploads.huggingface.co/production/uploads/6365c8dbf31ef76df4042821/0CyCkmFrWjPaBNLAwKMq8.png" alt="sample3">
  </div>
</div>



## Overview

**Anime Slider XL LoRA** is a cutting-edge LoRA adapter designed to work alongside Animagine XL 2.0. This unique model specializes in concept modulation, enabling users to adjust the level of detail in generated anime-style images. By manipulating a concept slider, users can create images ranging from highly detailed to more abstract representations.

<hr>

## Model Details

- **Developed by:** [Linaqruf](https://github.com/Linaqruf)
- **Model type:** LoRA adapter for Stable Diffusion XL
- **Model Description:** This adapter is a concept slider, allowing users to control the level of detail in anime-themed images. The closer the slider is set to 2, the more detailed the result; closer to -2, the less detailed. It is a versatile tool for artists and creators seeking various artistic expressions within anime imagery.
- **License:** [CreativeML Open RAIL++-M License](https://huggingface.co/stabilityai/stable-diffusion-2/blob/main/LICENSE-MODEL)
- **Finetuned from model:** [Animagine XL 2.0](https://huggingface.co/Linaqruf/animagine-xl-2.0)

<hr>

## 🧨 Diffusers Installation

Ensure the installation of the latest `diffusers` library, along with other essential packages:

```bash
pip install diffusers --upgrade
pip install transformers accelerate safetensors
```

The following Python script demonstrates how to utilize the LoRA with Animagine XL 2.0. The default scheduler is EulerAncestralDiscreteScheduler, but it can be explicitly defined for clarity.

```py
import torch
from diffusers import (
    StableDiffusionXLPipeline, 
    EulerAncestralDiscreteScheduler,
    AutoencoderKL
)

# Initialize LoRA model and weights
lora_model_id = "Linaqruf/anime-slider-xl-lora"
lora_filename = "anime-slider-xl.safetensors"
lora_scale_slider = 2 # -2 for less detailed result

# Load VAE component
vae = AutoencoderKL.from_pretrained(
    "madebyollin/sdxl-vae-fp16-fix", 
    torch_dtype=torch.float16
)

# Configure the pipeline
pipe = StableDiffusionXLPipeline.from_pretrained(
    "Linaqruf/animagine-xl-2.0", 
    vae=vae,
    torch_dtype=torch.float16, 
    use_safetensors=True, 
    variant="fp16"
)
pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
pipe.to('cuda')

# Load and fuse LoRA weights
pipe.load_lora_weights(lora_model_id, weight_name=lora_filename)
pipe.fuse_lora(lora_scale=lora_scale_slider)

# Define prompts and generate image
prompt = "face focus, cute, masterpiece, best quality, 1girl, green hair, sweater, looking at viewer, upper body, beanie, outdoors, night, turtleneck"
negative_prompt = "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"

image = pipe(
    prompt, 
    negative_prompt=negative_prompt, 
    width=1024,
    height=1024,
    guidance_scale=12,
    num_inference_steps=50
).images[0]

# Unfuse LoRA before saving the image
pipe.unfuse_lora()
image.save("anime_girl.png")

```

## Acknowledgements

Our project has been enriched by the following significant works:

- **[Erasing Concepts from Diffusion Models](https://github.com/rohitgandikota/erasing)** by Rohit Gandikota et al.
- **[LECO](https://github.com/p1atdev/LECO)** by p1atdev. 
- **[AI Toolkit](https://github.com/ostris/ai-toolkit)** by Ostris.