ComfyUI-Anima-Style-Nodes Brings Visual Tag Selection To Comfyui

ComfyUI-Anima-Style-Nodes is a new ComfyUI custom node that lets you visually browse and apply anime artist tags, character tags, and style references directly inside your generation workflow. It replaces the standard text encoder by offering a visual browser with bundled Anima style references, Animadex styles, and character entries. The node supports prompt autocomplete, real-time preview, and an auto-cycle feature that rotates tags while queuing prompts.
Created by FulletLab, this independent community tool focuses on making anime-style prompting more intuitive and faster. Instead of memorizing Danbooru tags or artist names, users can select visuals and have the correct tags formatted automatically. It works offline by default, with remote image loading and indexing updates being opt-in for privacy-conscious workflows.
Browse styles and characters visually
- Visual style browser with bundled references.
- Animadex tabs for styles and characters.
- Trigger-only or trigger+tags insertion modes.
- Prompt preview synced with widget changes.
- Auto Cycle with multiple artist/character groups.
- Offline-first design, remote images opt-in.
This node suits anyone generating anime-style images with ComfyUI who wants to quickly experiment with different artist styles and character appearances. It’s especially helpful for users of Anima checkpoints and those who prefer working offline or with limited internet access. The visual approach also reduces the need to memorize tag syntax, making it easier to iterate on prompts.
Developer notes and companion tool
FulletLab built the node to be registry-ready, with offline functionality and transparent internet usage. Remote images are disabled unless explicitly turned on, and API keys for prompt publishing are stored locally, never embedded in workflows. In tandem with this release, the developer also introduced a separate Anima LoRa Explorer node that can fetch and download LoRAs from Civitai using an API key.
"The node works like a CLIP Text Encode replacement: write a prompt, choose styles or characters visually, and send the encoded conditioning directly to the sampler." — Source: GitHub