fix: download yolo world from hf

adetailer/common.py

@@ -9,7 +9,7 @@ from huggingface_hub import hf_hub_download
 from PIL import Image, ImageDraw
 from rich import print
 
-repo_id = "Bingsu/adetailer"
+REPO_ID = "Bingsu/adetailer"
 _download_failed = False
 
 
@@ -20,7 +20,7 @@ class PredictOutput:
     preview: Optional[Image.Image] = None
 
 
-def hf_download(file: str):
+def hf_download(file: str, repo_id: str = REPO_ID) -> str | None:
     global _download_failed
 
     if _download_failed:
@@ -56,11 +56,13 @@ def get_models(
                 "hand_yolov8n.pt": hf_download("hand_yolov8n.pt"),
                 "person_yolov8n-seg.pt": hf_download("person_yolov8n-seg.pt"),
                 "person_yolov8s-seg.pt": hf_download("person_yolov8s-seg.pt"),
+                "yolov8x-world.pt": hf_download(
+                    "yolov8x-world.pt", repo_id="Bingsu/yolo-world-mirror"
+                ),
             }
         )
     models.update(
         {
-            "yolov8x-world.pt": "yolov8x-world.pt",
             "mediapipe_face_full": None,
             "mediapipe_face_short": None,
             "mediapipe_face_mesh": None,

tests/test_ultralytics.py

@@ -4,8 +4,6 @@ from PIL import Image
 
 from adetailer.ultralytics import ultralytics_predict
 
-repo_id = "Bingsu/adetailer"
-
 
 @pytest.mark.parametrize(
     "model_name",
@@ -22,13 +20,14 @@ repo_id = "Bingsu/adetailer"
     ],
 )
 def test_ultralytics_hf_models(sample_image: Image.Image, model_name: str):
-    model_path = hf_hub_download(repo_id, model_name)
+    model_path = hf_hub_download("Bingsu/adetailer", model_name)
     result = ultralytics_predict(model_path, sample_image)
     assert result.preview is not None
 
 
 def test_yolo_world_default(sample_image: Image.Image):
-    result = ultralytics_predict("yolov8x-world.pt", sample_image)
+    model_path = hf_hub_download("Bingsu/yolo-world-mirror", "yolov8x-world.pt")
+    result = ultralytics_predict(model_path, sample_image)
     assert result.preview is not None
 
 
@@ -44,5 +43,6 @@ def test_yolo_world_default(sample_image: Image.Image):
     ],
 )
 def test_yolo_world(sample_image2: Image.Image, klass: str):
-    result = ultralytics_predict("yolov8x-world.pt", sample_image2, classes=klass)
+    model_path = hf_hub_download("Bingsu/yolo-world-mirror", "yolov8x-world.pt")
+    result = ultralytics_predict(model_path, sample_image2, classes=klass)
     assert result.preview is not None