Linaqruf

body { font-family: 'Verdana', sans-serif; background-color: #f5f5f5; margin: 0; padding: 0; } .title-container { display: flex; flex-direction: column; justify-content: center; align-items: center; height: 100vh; background-color: #f5f5f5; } .title { font-size: 3em; text-align: center; color: #333; text-transform: uppercase; padding: 0.5em; font-weight: bold; } .title span { background: -webkit-linear-gradient(45deg, #ff9a9e, #fad0c4, #f6d365); -webkit-background-clip: text; -webkit-text-fill-color: transparent; } .gallery-container { max-width: 90%; margin: 20px auto; text-align: center; position: relative; } .gallery-image { display: none; width: 100%; margin: 20px auto; transition: opacity 0.3s ease; } .gallery-image img { width: 100%; height: auto; border-radius: 10px; transition: transform 0.3s ease; } .gallery-image img:hover { transform: scale(1.05); } #radio1:checked ~ #image1, #radio2:checked ~ #image2, #radio3:checked ~ #image3 { display: block; } .btn { display: inline-block; padding: 10px 20px; margin: 10px; background: linear-gradient(135deg, #6e8efb, #a777e3); color: white; border: none; border-radius: 25px; cursor: pointer; text-decoration: none; transition: all 0.7s ease; box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1); text-shadow: 0 1px 1px rgba(0, 0, 0, 0.2); font-weight: bold; } .btn:hover, .btn:focus { background: linear-gradient(135deg, #5b7de2, #8561c5); box-shadow: 0 5px 15px rgba(0, 0, 0, 0.2); } .btn:active { transform: translateY(1px); box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1); } Anime Detailer 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. - Developed by: 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 - Finetuned from model: Animagine XL 2.0 Ensure the installation of the latest `diffusers` library, along with other essential packages: 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. Our project has been enriched by the following significant works: - Erasing Concepts from Diffusion Models by Rohit Gandikota et al. - LECO by p1atdev. - AI Toolkit by Ostris.

.title-container { display: flex; justify-content: center; align-items: center; height: 100vh; / Adjust this value to position the title vertically / } .title { font-size: 3em; 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, #7ed56f, #28b485); -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 10px 0px rgba(0,0,0,0.15); } .custom-image { width: 100%; height: auto; object-fit: cover; border-radius: 10px; transition: transform .2s; margin-bottom: 1em; } .custom-image:hover { transform: scale(1.05); } Animagine XL is a high-resolution, latent text-to-image diffusion model. The model has been fine-tuned using a learning rate of `4e-7` over 27000 global steps with a batch size of 16 on a curated dataset of superior-quality anime-style images. This model is derived from Stable Diffusion XL 1.0. - Use it with the `Stable Diffusion Webui` - Use it with 🧨 `diffusers` - Use it with the `ComfyUI` (recommended) Like other anime-style Stable Diffusion models, it also supports Danbooru tags to generate images. e.g. face focus, cute, masterpiece, best quality, 1girl, green hair, sweater, looking at viewer, upper body, beanie, outdoors, night, turtleneck 1. High-Resolution Images: The model trained with 1024x1024 resolution. The model is trained using NovelAI Aspect Ratio Bucketing Tool so that it can be trained at non-square resolutions. 2. Anime-styled Generation: Based on given text prompts, the model can create high quality anime-styled images. 3. Fine-Tuned Diffusion Process: The model utilizes a fine-tuned diffusion process to ensure high quality and unique image output. - Developed by: Linaqruf - Model type: Diffusion-based text-to-image generative model - Model Description: This is a model that can be used to generate and modify high quality anime-themed images based on text prompts. - License: CreativeML Open RAIL++-M License - Finetuned from model: Stable Diffusion XL 1.0 How to Use: - Download `Animagine XL` here, the model is in `.safetensors` format. - You need to use Danbooru-style tag as prompt instead of natural language, otherwise you will get realistic result instead of anime - You can use any generic negative prompt or use the following suggested negative prompt to guide the model towards high aesthetic generationse: - And, the following should also be prepended to prompts to get high aesthetic results: - Use this cheat sheet to find the best resolution: We also support a Gradio Web UI and Colab with Diffusers to run Animagine XL: [](https://huggingface.co/spaces/Linaqruf/Animagine-XL) [](https://colab.research.google.com/#fileId=https%3A//huggingface.co/Linaqruf/animagine-xl/blob/main/AnimagineXLdemo.ipynb) In addition make sure to install `transformers`, `safetensors`, `accelerate` as well as the invisible watermark: Running the pipeline (if you don't swap the scheduler it will run with the default EulerDiscreteScheduler in this example we are swapping it to EulerAncestralDiscreteScheduler: Limitation This model inherit Stable Diffusion XL 1.0 limitation