diff --git a/.github/workflows/wd14.yml b/.github/workflows/wd14.yml
index 45812a3aa8..22a42e30dc 100644
--- a/.github/workflows/wd14.yml
+++ b/.github/workflows/wd14.yml
@@ -4,6 +4,10 @@ on:
   #  push:
   workflow_dispatch:
     inputs:
+      models:
+        description: 'Models To Make'
+        type: str
+        default: ''
       tag_lazy_mode:
         description: 'Enable Tag Lazy Mode'
         type: boolean
@@ -55,5 +59,6 @@ jobs:
         env:
           HF_TOKEN: ${{ secrets.HF_TOKEN }}
           GH_ACCESS_TOKEN: ${{ secrets.GH_ACCESS_TOKEN }}
+          MODELS: ${{ github.event.inputs.models || '' }}
         run: |
           python -m zoo.wd14.sync
diff --git a/imgutils/tagging/wd14.py b/imgutils/tagging/wd14.py
index fbd716571f..43b2145223 100644
--- a/imgutils/tagging/wd14.py
+++ b/imgutils/tagging/wd14.py
@@ -27,12 +27,14 @@
 SWIN_V3_MODEL_REPO = 'SmilingWolf/wd-swinv2-tagger-v3'
 VIT_V3_MODEL_REPO = 'SmilingWolf/wd-vit-tagger-v3'
 VIT_LARGE_MODEL_REPO = 'SmilingWolf/wd-vit-large-tagger-v3'
+EVA02_LARGE_MODEL_DSV3_REPO = "SmilingWolf/wd-eva02-large-tagger-v3"
 MODEL_FILENAME = "model.onnx"
 LABEL_FILENAME = "selected_tags.csv"
 
 _IS_V3_SUPPORT = VersionInfo(onnxruntime.__version__) >= '1.17'
 
 MODEL_NAMES = {
+    "EVA02_Large": EVA02_LARGE_MODEL_DSV3_REPO,
     "ViT_Large": VIT_LARGE_MODEL_REPO,
 
     "SwinV2": SWIN_MODEL_REPO,
diff --git a/zoo/wd14/sync.py b/zoo/wd14/sync.py
index 59bfeeffd7..9d1f6ffd80 100644
--- a/zoo/wd14/sync.py
+++ b/zoo/wd14/sync.py
@@ -1,6 +1,7 @@
 import os.path
 import re
 from functools import lru_cache
+from typing import List, Optional
 
 import numpy as np
 import onnx
@@ -48,16 +49,24 @@ def _seg_split(text):
     "ConvNext_v3": ('core_model', 'head', 'fc'),
     "ViT_v3": ('core_model', 'head'),
     "ViT_Large": ('core_model', 'head'),
+    "EVA02_Large": ('core_model', 'head'),
 }
 
 
-def sync(tag_lazy_mode: bool = False):
+def sync(tag_lazy_mode: bool = False, models: Optional[List[str]] = None):
     hf_fs = get_hf_fs()
 
+    if models:
+        _make_all = False
+        _model_names = models
+    else:
+        _make_all = True
+        _model_names = MODEL_NAMES
+
     import onnxruntime
     with TemporaryDirectory() as td:
         records = []
-        for model_name in tqdm(MODEL_NAMES):
+        for model_name in tqdm(_model_names):
             model_file = _get_model_file(model_name)
             logging.info(f'Model name: {model_name!r}, model file: {model_file!r}')
             logging.info(f'Loading model {model_name!r} ...')
@@ -171,11 +180,13 @@ def _is_fc(name):
             local_directory=td,
             path_in_repo='.',
             message=f'Upload {plural_word(len(df_records), "models")}',
-            clear=True,
+            clear=True if _make_all else False,
         )
 
 
 if __name__ == '__main__':
+    _MODELS = list(filter(bool, re.split('[,\s]+', os.environ.get('MODELS') or '')))
     sync(
         tag_lazy_mode=bool(os.environ.get('TAG_LAZY_MODE')),
+        models=_MODELS if _MODELS else None,
     )