Create README.md

README.md

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+---
+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. 
+
+