Anima Background Tag Selector

Let's be honest about Anima's weak spot: backgrounds. The community flagged them as the model's worst area as early as preview 3, and they were never clearly fixed. The stock advice is to spell out your setting with real Danbooru tags because prose alone drifts. The Anima Background Tag Selector is that advice in node form - a visual library of background/scenery prompt tags you browse and click into the prompt, so you're not scrambling for the right tag mid-workflow.

It's one of the newer nodes in the Anima-Tools pack. The README still only covers the artist, character, and clothing selectors - the background and pose selectors shipped later and the docs haven't caught up. Rest assured the code is there, under AnimaArt, displayed as "Anima Background Tag Selector".

The panel follows the house pattern: a preview grid (backgrounds use a 2:3 ratio, the pack says), search and category filtering, favorites, and custom entries. The Python side is a simple cleaner - split background_tags on commas, trim, drop empties, join. No @ rewriting, no by -stripping; a _raw_: prefix passes a tag through untouched.

The inputs that matter

• background_tags - the comma-separated tag list the panel fills.
• mode - append (default) puts backgrounds ahead of opt_prompt; override replaces it.
• opt_prompt - optional existing prompt to merge with.

Single text STRING output ending in the pack's trademark trailing ", ". Feed it to a CLIPTextEncode positive, or into the pack's Anima Prompt / Prompt Plus nodes where it maps to the background_tags input.

Install and the honest caveat

Zero dependencies, no pip, no model files:

cd ComfyUI/custom_nodes
git clone https://github.com/nregret/Comfyui-Anima-Tools

Or Manager → search "Anima Tools" → Install, then restart ComfyUI. Preview thumbnails load from a CDN, so the visual grid wants internet even though the tag data is bundled.

Don't expect this node to magically fix Anima's background rendering - it puts correct, model-known tags in front of you, which is more than half the battle. Pair it with the standard trick of restating the background positively ("clean studio background, sharp focus" style) and you'll get a lot further than prose alone. If your background still comes out weak, that's the model's known limitation, not your prompting.