Momo XL is an anime-style model based on SDXL, fine-tuned to produce high-quality anime-style images with detailed and vibrant aesthetics. (Oct 6, 2024)
Key Features:
Anime-Focused SDXL: Tailored for generating high-quality anime-style images, making it ideal for artists and enthusiasts.
Optimized for Tag-Based Prompting: Works best when prompted with descriptive tags, ensuring accurate and relevant outputs.
LoRA Compatible: Compatible with most LoRA models available on the hub, allowing for versatile customization and style transfer.
Usage Instructions:
Tagging: Use descriptive tags separated by commas to guide the image generation. Tags can be arranged in any order to suit your creative needs.
Year-Specific Styles: To emulate art styles from a specific year, use the tag format "year 20XX" (e.g., "year 2023").
LoRA Models: Momo XL supports most LoRA models, enabling enhanced and tailored outputs for your projects.
Disclaimer:
This model may produce unexpected or unintended results. Use with caution and at your own risk.
Important Notice:
Ethical Use: Please ensure that your use of this model is ethical and complies with all applicable laws and regulations.
Content Responsibility: Users are responsible for the content they generate. Do not use the model to create or disseminate illegal, harmful, or offensive material.
Data Sources: The model was trained on publicly available datasets. While efforts have been made to filter and curate the training data, some undesirable content may remain.
Thank you! 😊
Momo XL - Training Details (Oct 15, 2024)
Dataset
Momo XL was trained using a dataset of over 400,000+ images sourced from Danbooru.
Base Model
Momo XL was built on top of SDXL, incorporating knowledge from two finetuned models:
