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;
+  }
+  
+  .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);
+    /* 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 */
+  }
+
+  .custom-image-container:hover .nsfw-filter {
+    filter: none; /* Remove the blur effect on hover */
+  }
+</style>
+
+<h1 class="title">
+  <span>Pastel Style XL LoRA</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/6365c8dbf31ef76df4042821/Q1olwlimSCLG061XX6mRV.png" alt="sample1">
+      </div>
+      <div class="custom-image-container">
+        <img class="custom-image" src="https://cdn-uploads.huggingface.co/production/uploads/6365c8dbf31ef76df4042821/c29eOaqc_7BXFRKBfGn4J.png" alt="sample4">
+      </div>
+    </td>
+    <td>
+      <div class="custom-image-container">
+        <img class="custom-image" src="https://cdn-uploads.huggingface.co/production/uploads/6365c8dbf31ef76df4042821/OyiZlzjXwZ_k58QfDgcB0.png" alt="sample2">
+      </div>
+      <div class="custom-image-container">
+        <img class="custom-image" src="https://cdn-uploads.huggingface.co/production/uploads/6365c8dbf31ef76df4042821/oI1huB1ug5jMCjqqHoQVz.png" alt="sample3">
+    </td>
+  </tr>
+</table>
+
+<hr>
+
+## Overview
+
+**Pastel Style XL LoRA** is a specialized LoRA (Low-Rank Adaptation) adapter, expertly designed to work in conjunction with Animagine XL 2.0. This model specifically focuses on enhancing and imparting a pastel-style aesthetic to anime-themed images. It integrates smoothly with the Stable Diffusion framework, offering a unique capability to produce images with soft, pastel-like qualities without the need for specific keywords or tags.
+<hr>
+
+## Model Details
+
+- **Developed by:** [Linaqruf](https://github.com/Linaqruf)
+- **Model type:** LoRA adapter for Stable Diffusion XL
+- **Model Description:** Pastel Style XL LoRA is a compact yet potent model aimed at augmenting the output of larger models, particularly Animagine XL 2.0. It's adept at generating and modifying high-quality anime-themed images, giving them a distinctive pastel aesthetic. This model is an excellent choice for those seeking to add a gentle, pastel touch to their anime creations.
+- **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/pastel-style-xl-lora"
+lora_filename = "pastel-style-xl-v2.safetensors"
+
+# 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=0.6)
+
+# 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")
+
+```