Danbooru Tags for NSFW AI: The Complete Tag Guide (2026)

Danbooru tags are comma-separated keywords that anime AI models like Illustrious, NoobAI, and Pony were trained on. For NSFW AI, lead with quality tags (masterpiece, best quality), then subject, character, and scene tags. Use weighting like (tag:1.2) to emphasize, keep tag order structured, and keep adult terms out of your negative prompt.

Anime image models do not understand sentences the way Midjourney or DALL-E do. They were trained on Danbooru, an anime image board where every picture is labeled with structured tags. Learn the tag system and you control the model precisely. We have tested these tags across Illustrious, NoobAI-XL, WAI, and Hassaku on an RTX 4090 and a 12GB RTX 3060, and this is the complete, practical tag guide, including a copy-paste cheat sheet for common NSFW scenes kept tasteful and educational.

If you want to experiment with these tags without installing anything, our browser generator accepts Danbooru-style prompts directly, so you can test the syntax in seconds.

Why Danbooru tags work

When a model trains on Danbooru, it associates each tag with the visual features of every image carrying that tag. So long_hair reliably produces long hair, from_above reliably produces a high camera angle, and so on. This makes anime models extraordinarily controllable if you speak their language. The golden rule, borrowed from Danbooru taggers, is tag what you see, not what you know. If feet are out of frame, do not tag footwear.

These tags run in Automatic1111, Forge, and ComfyUI. A tag autocomplete extension is a huge help; it suggests valid Danbooru tags as you type so you do not waste prompt space on tags the model never learned.

Underscores vs spaces

On Danbooru itself, tags use underscores: long_hair, looking_at_viewer. In most Stable Diffusion interfaces you can use either underscores or spaces, and modern Illustrious and NoobAI checkpoints handle both. The common recommendation is to convert underscores to spaces in your prompt (long hair, looking at viewer) because the text encoder tokenizes spaces cleanly. We use spaces by default and only keep underscores for tags where the underscore is part of an established name. Either works; just be consistent.

The tag categories

Danbooru organizes tags into categories. Knowing them helps you build complete prompts.

• Quality and meta tags: masterpiece, best quality, newest, absurdres, highres. These are not Danbooru content tags but quality signals the models learned from image ratings.
• Rating tags: safe, sensitive, nsfw, explicit on some models (notably Animagine). Control content level.
• General tags: the bulk of prompting. Hair, eyes, body, pose, clothing, expression, background.
• Character tags: specific named characters, like hatsune miku.
• Copyright tags: the series a character is from, like vocaloid.
• Artist tags: an artist’s name to borrow their style. NoobAI has the widest artist knowledge.
• Count tags: 1girl, 1boy, 2girls, solo, multiple girls. Always specify the subject count early.

The optimal tag order

Models learned tags in a rough order, and matching it improves results. Our structure:

1. Quality tags: masterpiece, best quality, newest, absurdres, highres
2. Count and subject: 1girl, solo
3. Character and copyright: character name, series name
4. Body and features: mature female, long black hair, blue eyes, large breasts
5. Pose and action: lying on bed, looking at viewer, arms up
6. Clothing or state: nude, topless, thighhighs
7. Expression: blush, seductive smile
8. Setting and lighting: bedroom, soft lighting, window light
9. Composition and camera: from above, depth of field, detailed skin

Aim for 25 to 35 well-chosen tags. Quality of tag selection beats sheer quantity. A focused 28-tag prompt usually beats a sprawling 60-tag one.

Tag weighting

To make a tag stronger or weaker, wrap it in parentheses with a number: (tag:1.2) increases weight, (tag:0.8) decreases it. The default weight is 1.0. Practical ranges:

• (large breasts:1.2) to emphasize a feature.
• (background:0.7) to push the background back.
• (detailed face:1.1) for slightly sharper faces.

Keep weights between roughly 0.7 and 1.3. Above 1.3 the model oversaturates and distorts, and Illustrious V-pred checkpoints are especially sensitive. Stacking parentheses also works in some UIs: ((tag)) is shorthand for extra weight, but explicit numbers are clearer and more portable.

Quality and rating tags in depth

The quality stack at the front of your prompt is the single biggest lever for output polish. For Illustrious and NoobAI, use masterpiece, best quality, newest, absurdres, highres. The newest tag pulls toward modern art styles; swap it for recent, mid, oldest to shift the era of the look.

Rating tags are model-specific. Animagine uses safe, sensitive, nsfw, explicit as explicit content controls; place the rating right after the character tags. Most dedicated NSFW Illustrious fine-tunes (NoobAI, WAI, Hassaku) do not require a rating tag to produce adult content; they respond directly to descriptive NSFW tags. Either way, the cardinal rule holds: never put adult terms in your negative prompt or the model will fight you.

Comparison: tag systems by model family

Model family	Quality tags	Rating tags	Score tags	Artist knowledge
Illustrious / NoobAI / WAI / Hassaku	masterpiece, best quality, newest, absurdres, highres	usually not needed	none	broad (NoobAI widest)
Animagine XL	masterpiece, best quality, very aesthetic / high score	safe, sensitive, nsfw, explicit	none	moderate
Pony Diffusion	none (uses scores)	rating tags	score_9, score_8_up, score_7_up	limited (often stripped)

The key takeaway: Illustrious uses Danbooru quality tags, Pony uses score tags, and the two are not interchangeable. Do not paste score_9 into an Illustrious prompt.

Negative prompt tags

A clean negative prompt removes artifacts without suppressing your content. Our standard NSFW negative:

lowres, worst quality, low quality, bad anatomy, bad hands, missing fingers, extra digits, fewer digits, jpeg artifacts, signature, watermark, username, blurry, censored, mosaic censoring, bar censor

Add censored, mosaic censoring, bar censor to prevent the model from self-applying censor effects it learned from Japanese source images. Add signature, watermark, username to clear stray marks, which matters most on Hassaku. Never include nsfw, nude, or explicit here.

The copy-paste NSFW tag cheat sheet

These are common, tasteful building blocks you can mix into prompts. Kept educational and non-graphic.

Quality block:
masterpiece, best quality, newest, absurdres, highres

Subject and body:
1girl, solo, mature female, large breasts, slim waist, detailed skin

State and clothing:
nude, topless, partially clothed, thighhighs, open shirt, bikini

Pose:
lying on bed, sitting, kneeling, looking at viewer, arms up, on back

Expression:
blush, seductive smile, half-closed eyes, parted lips

Setting and light:
bedroom, bathroom, window light, soft lighting, dim lighting

Camera and composition:
from above, from side, cowboy shot, depth of field, close-up

A full assembled example:

Prompt:
masterpiece, best quality, newest, absurdres, highres, 1girl, solo, mature female, long brown hair, green eyes, large breasts, nude, lying on bed, on back, looking at viewer, blush, bedroom, window light, detailed skin, depth of field

Negative prompt:
lowres, worst quality, low quality, bad anatomy, bad hands, missing fingers, extra digits, fewer digits, jpeg artifacts, signature, watermark, username, blurry, censored, mosaic censoring, bar censor

Run this at Euler a, 28 steps, CFG 5.5, 832×1216, Clip skip 2. You can paste it straight into our on-site generator to see how each tag block changes the result.

Character, copyright, and artist tags in depth

Three special tag categories give anime models enormous power, and they trip up newcomers most.

Character tags name a specific character the model learned, such as a popular series protagonist. When you use one, the model reproduces that character’s canonical hair, eyes, and outfit automatically, so you do not need to describe them. Pair the character tag with its copyright tag (the series name) for accuracy, since some characters share names across series. NoobAI knows the widest character roster of the popular NSFW models.

Artist tags borrow an artist’s visual style by naming them in the prompt. This is the single most powerful style lever in anime generation: one artist tag can transform the entire look more than a dozen descriptive tags. NoobAI has the broadest artist knowledge thanks to its full Danbooru and e621 training. Use artist tags responsibly and be aware of the ethical debate around them. You can blend two or three artist tags to create a hybrid style, and weighting them like (artist name:0.8) softens a style that is overpowering your prompt.

For adult content specifically, character and artist tags interact with NSFW tags freely on uncensored models, which is why a single artist tag plus a clean descriptive prompt often beats a long list of generic tags. Tag economy matters: a focused prompt with the right character, artist, and scene tags outperforms a bloated one.

Common NSFW tag mistakes to avoid

A few habits quietly ruin output. Avoid them and your hit rate climbs:

• Putting adult terms in the negative prompt. The number one mistake. nsfw, nude, and explicit in negatives make the model fight you.
• Over-weighting tags. (tag:1.6) does not make the model try harder; it fries the image. Stay at or below 1.3.
• Conflicting tags. Tagging both standing and lying confuses the pose. Pick one clear pose.
• Tagging what is not in frame. If feet are cropped out, barefoot wastes prompt budget and can pull the camera down.
• Mixing Pony score tags into Illustrious prompts. score_9 belongs to Pony, not Illustrious, and degrades quality here.
• Ignoring the count tag. Forgetting solo invites unwanted extra characters into the frame.
• Padding with synonyms. Five words for the same idea do not stack; they dilute. One precise tag is stronger.

How tag order affects emphasis

Beyond the category structure, raw position matters because tokens earlier in the prompt carry slightly more influence. That is a second reason quality tags go first and your most important descriptive tags go early. If a feature keeps getting ignored, move its tag earlier in the prompt before reaching for weighting. Conversely, if something dominates too much, push its tag later or lower its weight. In practice we combine both levers: front-load what matters, weight to fine-tune, and keep the overall list focused so no single tag has to fight twenty others for attention.

This interplay of order and weight is the core craft of Danbooru prompting. Once it clicks, you stop rerolling blindly and start steering the model deliberately, which is exactly the control that makes anime models worth learning over natural-language generators.

Tips that consistently improve NSFW output

• Start with the quality block, always. It is the cheapest quality win available.
• Specify the count tag early. 1girl, solo prevents accidental extra characters.
• Use camera tags for composition. from above, cowboy shot, close-up control framing reliably.
• Lean on autocomplete. It keeps you to valid tags the model actually learned.
• Tag the state, not the act, for tasteful work. Descriptive state tags give clean results.
• Iterate in small steps. Change one tag block at a time so you know what moved the needle.

Fixing tag-related problems

• Tag has no effect: it may not be a real Danbooru tag. Check with an autocomplete extension and try a known synonym.
• Wrong feature appears: lower competing tags’ weight or remove conflicting tags.
• Composition ignored: add a camera tag like from above rather than describing the angle in words.
• Model adds clothing you did not want: add the unwanted item to negatives and weight nude up slightly.
• Oversaturation from heavy weights: drop weights below 1.3 and lower CFG.

Hardware reality check

The tags themselves cost nothing extra to compute; generation speed depends on your model and settings. At 832×1216 and 28 steps, the RTX 4090 produced images in 4 to 7 seconds and the 12GB RTX 3060 in 22 to 35 seconds. VRAM use stayed around 8 to 10GB, so a 12GB card is comfortable and an 8GB card works with offloading. If your GPU is the bottleneck, skip local generation and prompt through our browser generator.

Building a personal tag library

The fastest way to improve over time is to keep a personal library of tag blocks that work. Save your best quality block, a few reliable body and pose blocks, your go-to expressions, and a clean negative prompt. Then assembling a new prompt becomes a matter of combining proven pieces rather than starting from scratch each time. This is exactly how experienced anime artists work: they are not inventing tags on the fly, they are recombining a vocabulary they have refined through hundreds of generations.

A tag autocomplete extension accelerates this enormously because it surfaces valid tags and their usage counts as you type, steering you toward tags the model actually learned well. Tags with high counts on Danbooru are generally rendered more reliably than rare ones, so when two tags mean roughly the same thing, the more common one usually gives cleaner results.

How tags differ from natural language prompts

If you have used Midjourney or DALL-E, the tag mindset takes adjustment. Those models parse sentences and infer intent. Anime models like Illustrious parse a list of learned labels and composite them. That means precision beats eloquence: “1girl, solo, long hair, looking at viewer” outperforms a flowery sentence every time. It also means the model will not infer things you did not tag, so be explicit about what you want in frame. The upside of this trade is control. Once you accept that you are labeling an image rather than describing it, the whole system becomes predictable, and that predictability is why serious anime creators prefer tag-based models for NSFW work where anatomy and composition must be exact.

Our verdict

Danbooru tags are the real interface to anime NSFW models. Master the quality block, the category order, and weighting, and you stop guessing and start directing. Remember the essentials: lead with masterpiece, best quality, newest, absurdres, highres, structure tags from subject to camera, use (tag:1.2) sparingly, prefer spaces over underscores, and never put adult terms in the negative prompt. To apply this on a specific model, read our guide on how to use Illustrious models for NSFW, and to pick the right checkpoint see our Illustrious checkpoint roundup. Test the cheat sheet in the generator, then refine locally for full control.

Frequently asked questions

What are Danbooru tags in AI image generation?

Danbooru tags are structured, comma-separated keywords from the Danbooru anime image board that anime AI models were trained on. Each tag, like long_hair or looking_at_viewer, maps to specific visual features. Because models like Illustrious and NoobAI learned these tags directly, prompting with them gives precise control over hair, pose, clothing, camera angle, and content compared to plain sentences.

How do I weight Danbooru tags?

Wrap a tag in parentheses with a number to change its strength: (tag:1.2) increases weight and (tag:0.8) decreases it, with 1.0 as the default. Keep weights between about 0.7 and 1.3, since values above 1.3 cause oversaturation and distortion. Use weighting to emphasize a feature or push a background back without rewriting the whole prompt.

Should I use underscores or spaces in Danbooru tags?

Either works on modern Illustrious and NoobAI checkpoints, but spaces are the safer default because the text encoder tokenizes them cleanly. Danbooru itself uses underscores like long_hair, but in Stable Diffusion you can write long hair with a space. The most important thing is to stay consistent within a single prompt rather than mixing both styles randomly.

What order should Danbooru tags go in?

Lead with quality tags, then count and subject (1girl, solo), then character and series, then body and features, pose, clothing or state, expression, setting and lighting, and finally camera and composition. Anime models learned tags in roughly this order, so matching it improves results. Aim for 25 to 35 focused tags rather than padding with dozens of weak ones.

What are the best quality tags for NSFW anime AI?

For Illustrious-based models including NoobAI, WAI, and Hassaku, use masterpiece, best quality, newest, absurdres, highres at the front of your prompt. The newest tag biases toward modern styles. Animagine prefers masterpiece, best quality, very aesthetic or high score. These quality tags are the single biggest lever for output polish and cost almost nothing in prompt space.

Do NSFW models need a rating tag like nsfw or explicit?

It depends on the model. Animagine XL uses rating tags safe, sensitive, nsfw, and explicit to control content level, placed after the character tags. Dedicated NSFW Illustrious fine-tunes like NoobAI, WAI, and Hassaku usually do not need a rating tag and respond directly to descriptive tags. In all cases, never put adult terms in the negative prompt.

Why does my Danbooru tag have no effect?

The tag may not be a real Danbooru tag the model learned, or it may be spelled differently. Install a tag autocomplete extension to confirm valid tags as you type, and try a known synonym. A conflicting tag with higher weight can also override it. Lower the competing tag or remove conflicting descriptors so the intended tag can take effect.

Can I use Pony score tags with Danbooru anime models?

No. Pony Diffusion uses score tags like score_9 and score_8_up, while Illustrious and NoobAI use Danbooru quality tags like masterpiece and best quality. The two systems are not interchangeable, and pasting score tags into an Illustrious prompt usually degrades quality. When moving from Pony, remove all score_ tags and replace them with the Danbooru quality stack.