NovelAI3
This dataset contains over 38 GB of anime-style text-image pairs, generated automatically through an iterative process. It is intended for training open-source models for generating images from textual descriptions, and for research purposes only.
Approximately 38 GB, pairs (text, image), raw format (unfiltered)
Apache 2.0
Description
The dataset Novelai3 contains millions of pairs (text, image) in the “anime” graphic style, automatically generated via a NovelAI-type interface. The objective is to provide an open-source corpus to train or refine text-to-image models oriented towards this artistic style.
What is this dataset for?
- Train models for generating images from anime-like text
- Experiment with methods for filtering visual prompts
- Test the robustness and diversity of anima-style AI generators
Can it be enriched or improved?
Yes, although raw, the dataset can be refined. It is advisable to filter out poor quality images, to balance the categories, or to rewrite some prompts. Tools like BLIP2, Deepbooru or GPT-4V can also be used to enrich metadata or replace tags automatically.
🔎 In summary
🧠 Recommended for
- Artistic text-to-image projects
- Creative AI fine-tuning
- Anime enthusiasts
🔧 Compatible tools
- Diffusers
- ControlNet
- LoRa
- BLIP2
- Qwen-VL
- Deepbooru
💡 Tip
Manually filtering a high-quality subset allows for much better results in the generation phase.
Frequently Asked Questions
Is this dataset ready to use as is?
No, it is raw and requires prior sorting or filtering before use to avoid generations of poor quality.
Can the prompts be reused for other models?
Yes, prompts can be used or adapted for other text-to-image templates, with or without changes.
Is it suitable for training a Stable Diffusion model?
Yes, it is compatible with frameworks like Diffusers, but pre-processing is recommended for better performance.
