Booru Taggers for ComfyUI

ComfyUI Booru Tagger

Modification from pythongosssss

1. Migrate to ComfyUI Node v3.
2. Separate model loading and inference, much faster running! (No longer need to load models for each image input).
3. New model support
   • Pixai Tagger v0.9 (onnx model)
   • Camie Tagger v2
   • CL Tagger v1 (1.00 / 1.01 / 1.02)
   • CL Tagger v2 (2.00 / 2.01a)
   • AnimeTimm dbv4-full — timm-based taggers with 12,476 tags (caformer, eva02, swinv2)
4. Multiple output fields — tags (combined), general_tags, rating, character_tags

A ComfyUI extension allowing the interrogation of booru tags from images.

Outputs

| Output | Description | |---|---| | tags | Combined character + general tags | | general_tags | Descriptive tags (attributes, clothing, composition, etc.) | | rating | Top rating tag (safe / sensitive / questionable / explicit) | | character_tags | Character, copyright, and artist tags |

Models

| Model | Tags | Input Size | License | Gated | |---|---|---|---|---| | WD Series (eva02, vit, swinv2, etc.) | varies | 448² | MIT | No | | Pixai Tagger v0.9 | 13,461 | 448² | Apache-2.0 | No | | Camie Tagger v2 | 70,527 | 512² | ? | No | | CL Tagger v1 (1.00 / 1.01 / 1.02) | 42,163 | 448² | Apache-2.0 | No | | CL Tagger v2 (2.00 / 2.01a) | 106,536 / 108,036 | 384² | Custom | Yes | | AnimeTimm swinv2_base | 12,476 | 256² | GPL-3.0 | Yes | | AnimeTimm eva02_large | 12,476 | 448² | GPL-3.0 | Yes | | AnimeTimm caformer_b36 | 12,476 | 384² | GPL-3.0 | Yes |

Gated models require a HuggingFace token. Accept the license on the model page, then either run huggingface-cli login or set the HF_TOKEN environment variable before first download.

Credits:

• pythongosssss/ComfyUI-WD14-Tagger
• SmilingWolf/wd-v1-4-tags
• toriato/stable-diffusion-webui-wd14-tagger

Models created by:

• WD Taggers: SmilingWolf
• Pixai Tagger: pixai-labs
• Camie Tagger: Camais03
• CL Tagger v1 / v2: cella110n
• AnimeTimm: DeepGHS / narugo1992

Installation

1. Clone this repo into the custom_nodes folder.
2. Install dependency (onnxruntime or onnxruntime-gpu for CUDA acceleration).
3. For gated models (CL Tagger v2, AnimeTimm): run huggingface-cli login once, or set the HF_TOKEN environment variable with your HuggingFace token.

Configuration

Edit models.json to customize defaults:

• settings.ortProviders — ONNX Runtime execution providers. GPU is auto-detected.
• threshold / character_threshold — Per-model default thresholds.
• HF_ENDPOINT — Mirror/proxy URL for HuggingFace downloads.