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README.md

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-license: mit
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+---
+license: mit
+base_model: OnomaAIResearch/Illustrious-xl-early-release-v0
+pipeline_tag: text-to-image
+---
+
+# Illustrious XL v1.0 – High-Resolution Focused Illustration Generative Model
+
+
+
+## Overview
+
+**Illustrious XL v1.0** is a cutting-edge generative model developed by **OnomaAI**, built on the **Stable Diffusion XL** architecture. It is trained from our previous checkpoint, **Illustrious XL v0.1**, and designed to produce stunning **high-resolution images**. 
+
+It achieves an unprecedented **native resolution of 1536×1536** within the **SDXL** framework, pushing beyond previous limits in **detail and clarity**. The model seamlessly blends **natural language understanding** with **tag-based prompting** (Danbooru style), allowing both **descriptive sentences** and **specific tags** for **flexible and robust** prompt handling. 
+
+As a result, **Illustrious XL v1.0** is a powerful foundation for creators seeking **versatility in content generation without sacrificing fidelity**.
+
+---
+
+## Knowledge Cutoff
+
+**Illustrious XL v1.0** was trained in **July 2024**, with knowledge up to **June 2024**.
+
+However, due to its **native support of v0.1 LoRA**, you might not have to worry about knowledge limits!
+
+---
+
+## Key Features
+
+### 🚀 1536×1536 Native Resolution
+
+- First-of-its-kind **Stable Diffusion XL** model to natively support **1536px resolution**.
+- Generates images with **exceptional detail, sharpness, and clarity** at high resolutions that were previously unattainable in **SDXL**.
+- Supports a **wide range of resolutions** between **512×512 to 1536×1536** – resolutions like **1248×1824** are possible without **high-resolution modifications**.
+
+### 🧠 NLP + Tag-Based Prompting
+
+- Integrates **advanced natural language processing** with **Danbooru tag-based prompts**.
+- **Tag-based approaches** are more **concise and accurate**, but this hybrid prompt system means you can use:
+  - **Plain English descriptions**  
+  - **Precise tags**  
+  - **Or both together**
+- The model understands and **leverages each**, giving you **greater control** and **nuance** in image generation.
+
+### 🔌 Extensive Compatibility
+
+- Fully compatible with a wide range of **extensions and add-ons**.
+- Supports **LoRA**, **ControlNet modules**, and other adaptation methods trained on **Illustrious v0.1**.
+- You can **mix and match enhancements** to fine-tune style, pose, or composition **without breaking compatibility**.
+
+### 🏗️ Pretrained Base Model
+
+- **Illustrious XL v1.0** is provided as a **pretrained base checkpoint** without **fine-tuning** on specific aesthetics or biases.
+- This **"raw" model** offers a **robust foundation** for further training.
+- Ideal for creators who want to **apply their own fine-tuning** (e.g., **LoRA training**) to achieve **particular art styles** or **specialized outputs**.
+- A **flexible starting point** for **new innovations**.
+
+---
+
+## Future Plans
+
+### 🔍 Higher Resolutions in v2/v3
+
+- Upcoming versions (**Illustrious XL v2 and v3**) are planned to support even **larger resolutions**, targeting up to **2K resolution and beyond**.
+- Expect **even more detail** and **scaling capability**, enabling **ultra-crisp large-format images**.
+
+### 🎨 v-Parameterization Models & Color Control
+
+- A specialized **v-parameterization variant** is ready, **breaking SDXL's previously considered limits** – both academically and practically.
+- Future releases will focus on **enhanced color control**, allowing users **finer adjustments** over **color balance** and **consistency** in generated images.
+
+### 🔄 Continuous Improvement
+
+- The **Illustrious roadmap** is ambitious – each iteration will integrate **community feedback** and the **latest research**.
+- We will continue **high-resolution research**, breaking previously considered limits with **careful and sophisticated approaches**.
+
+---
+
+## Useful Links
+
+- **[Illustrious v0.1 (Hugging Face)](https://huggingface.co/)**  
+- **[OnomaAI TooToon](https://tootoon.ai/)**  
+- **[Terms of Use](#)**