/ Модель

Характеристики

Лицензия
MIT
Базовая модель
Illustrious-xl-early-release-v0
Опубликована
12 фев 2025

illustrious-xl-v1.0

Генерация изображенийТекст → изображение

Русское описание этой модели ещё готовится. Пока можно заглянуть в карточку модели от автора ниже.

0скачиваний за 30 дней158лайковвеса обновлены12 фев 2025

Бенчмарки

Как модель справилась с задачами пользователей ailist и что о ней публикуют открытые лидерборды

Публичные оценки

Из открытых лидербордов. Сравнивайте результаты одного теста при одинаковых условиях — отсутствие оценки не значит, что модель хуже.

В подключённых источниках результатов для этой модели пока нет.

Карточка модели

README от автора на Hugging Face, как он его опубликовал

Открыть на Hugging Face

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

Как запустить

На своей GPU в ailist. Цена — по текущим предложениям провайдеров

GPU в ailist

Универсальный рантайм

Нельзя запустить

Не удалось определить, чем загружать веса модели (нет library_name и architectures).

Ревизия весов
9b8fa10

0 моделей