zsxkib/wd-image-tagger 🖼️❓🔢✓ → ❓
About
Image tagger fine-tuned on WaifuDiffusion w/ (SwinV2, SwinV2, ConvNext, and ViT)
Example Output
Output
[object Object][object Object][object Object][object Object][object Object][object Object][object Object][object Object][object Object][object Object][object Object][object Object][object Object][object Object][object Object][object Object][object Object]
Performance Metrics
1.91s
Prediction Time
328.19s
Total Time
All Input Parameters
{
"image": "https://replicate.delivery/pbxt/KyBHXfcGfwSFs0ob5gIoW0gPgU8e06B2t2gyGKeDElufpsj0/bunny3.webp",
"category": "all_tags",
"model_repo": "models/wd-swinv2-tagger-v3",
"general_thresh": 0.35,
"character_thresh": 0.85,
"general_mcut_enabled": false,
"character_mcut_enabled": false
}
Input Parameters
- image (required)
- Path to the input image file to be analyzed by the WaifuDiffusion tagger model
- category
- Category of tags to return in the output
- model_repo
- Name of the pre-trained model repository to use for image analysis
- general_thresh
- Probability threshold for including general tags in the output (between 0 and 1)
- character_thresh
- Probability threshold for including character tags in the output (between 0 and 1)
- general_mcut_enabled
- Whether to use the MCut algorithm to automatically determine the general tags threshold
- character_mcut_enabled
- Whether to use the MCut algorithm to automatically determine the character tags threshold
Output Schema
Output
Version Details
- Version ID
f9cfa5bef6e8f789662b1d6014a378f5e514a9f4d6b409e0ad84da126a4bdf62- Version Created
- May 22, 2024