NoobAI
NoobAI-XL (NAI-XL) is an Illustrious-based anime checkpoint trained by Laxhar Lab on a massive Danbooru/e621 dataset, giving it deep character knowledge and strong booru-tag prompt understanding. It renders clean, expressive anime and illustration art with excellent tag adherence. Generate with it right here on Civitai — no GPU, no install.
About NoobAI
NoobAI-XL (NAI-XL) is an anime and illustration checkpoint from Laxhar Lab, built on SDXL by way of Illustrious (fine-tuned from Laxhar/noobai-XL_v1.0). What sets it apart is the training data: the full Danbooru and e621 datasets, captioned with both native booru tags and natural-language descriptions. That combination gives it unusually deep character, artist, and concept knowledge, and it responds tightly to comma-separated booru-style tag prompts.
A key technical detail: the flagship NoobAI-XL is a v-prediction model, not the eps-prediction most SDXL checkpoints use. That means it expects specific sampler settings (v-prediction with zero-terminal-SNR rescaling) rather than the defaults you would use for a normal SDXL model — the model card leads with a bold warning that "this model works different from EPS models." On Civitai the generator already applies the right configuration for you, so you get the intended output without hand-tuning schedulers.
Choose NoobAI when you want the strongest booru-tag adherence and the broadest built-in knowledge of anime characters and artists — it recognizes more tags than the Illustrious base it extends. If you prefer natural-language prompting or a lighter, faster general-purpose anime model, Illustrious or Pony are close siblings worth comparing; NoobAI trades a little simplicity for reach and precision on tags. All three are available on Civitai, so you can run the same prompt across them and pick the look you like.
How to prompt NoobAI
- Prompt with comma-separated Danbooru/e621 tags rather than full sentences — NoobAI was trained on native booru tags and rewards concise, tag-style descriptions (e.g. "1girl, green hair, cat ears, portrait").
- Lead with quality tags. The model card's own sample opens with "masterpiece, best quality"; adding these boosters up front consistently improves fidelity.
- Call artists and named characters directly with booru conventions — the card uses "artist:john_kafka" style tags and character tags to steer style and identity, which works because those tags come straight from the training set.
- Escape parentheses that are part of a tag with a backslash, e.g. "arlecchino \(genshin impact\)" or "horror \(theme\)", so they read as booru tags and are not parsed as prompt-weighting syntax.
- Use a strong negative prompt. The card recommends "nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands" as a baseline to clean up anatomy and artifacts.
Example generations
Curated, safe-for-work showcase — every image ships with its prompt and settings.






How to run NoobAI
Two paths — one takes ten seconds, one takes an afternoon.
⚡ Run on Civitai (Recommended)
The fastest way to start.
🖥️ Run it locally
For power users who want full control.
No graphics card? The Civitai path above skips all of this.
NoobAI vs other ecosystems
Backed by Civitai usage data.
| Feature | NoobAI | Illustrious | Pony | SDXL |
|---|---|---|---|---|
| Best for | Anime with deep booru-tag knowledge | Anime & illustration | Stylized characters, general purpose | Photorealism & versatility |
| Prompt adherence | Very good (booru tags) | Very good | Good | Good |
| Text in images | Fair | Fair | Weak | Fair |
| Speed on Civitai | Medium (5–10s) | Medium (5–10s) | Fast (3–6s) | Fast (3–6s) |
| LoRA ecosystem | Growing | 187,000+ | 101,000+ | 38,000+ |
| Available on Civitai | ✓ Yes | ✓ Yes | ✓ Yes | ✓ Yes |
Frequently asked questions
How much does it cost to generate with NoobAI?
What is NoobAI-XL?
How is NoobAI different from Illustrious?
How should I prompt NoobAI?
Can I train a NoobAI LoRA?
Do I need a GPU to run NoobAI?
Start generating with NoobAI now
No installation. No GPU. Runs in your browser.










