babysor/MockingBird · critical · Exception

Model folder {ENC_MODELS_DIRT} doesn't exist.

Error message

Model folder {ENC_MODELS_DIRT} doesn't exist.

What it means

Import-time guard in mkgui/train_vc.py for the encoder models directory (ENC_MODELS_DIRT); the VC training page lists encoder .pt checkpoints at import time and raises if the folder is missing.

Source

Thrown at control/mkgui/train_vc.py:33

if os.path.isdir(EXT_MODELS_DIRT):    
    extractors =  Enum('extractors', list((file.name, file) for file in Path(EXT_MODELS_DIRT).glob("**/*.pt")))
    print("Loaded extractor models: " + str(len(extractors)))
else:
    raise Exception(f"Model folder {EXT_MODELS_DIRT} doesn't exist.")

if os.path.isdir(CONV_MODELS_DIRT):    
    convertors =  Enum('convertors', list((file.name, file) for file in Path(CONV_MODELS_DIRT).glob("**/*.pth")))
    print("Loaded convertor models: " + str(len(convertors)))
else:
    raise Exception(f"Model folder {CONV_MODELS_DIRT} doesn't exist.")

if os.path.isdir(ENC_MODELS_DIRT):    
    encoders = Enum('encoders', list((file.name, file) for file in Path(ENC_MODELS_DIRT).glob("**/*.pt")))
    print("Loaded encoders models: " + str(len(encoders)))
else:
    raise Exception(f"Model folder {ENC_MODELS_DIRT} doesn't exist.")

class Model(str, Enum):
    VC_PPG2MEL = "ppg2mel"

class Dataset(str, Enum):
    AIDATATANG_200ZH = "aidatatang_200zh"
    AIDATATANG_200ZH_S = "aidatatang_200zh_s"

class Input(BaseModel):
    # def render_input_ui(st, input) -> Dict: 
    #     input["selected_dataset"] = st.selectbox(
    #         '选择数据集', 
    #         ("aidatatang_200zh", "aidatatang_200zh_s")
    #     )
    # return input
    model: Model = Field(
        Model.VC_PPG2MEL, title="模型类型",
    )

View on GitHub (pinned to 28dc5e14f1)

Solutions

1. Create the encoder models directory and place the encoder .pt checkpoint in it
2. Download pretrained encoder weights to the expected location
3. Check ENC_MODELS_DIRT configuration

Example fix

# before: encoder/saved_models missing
mkdir -p encoder/saved_models && cp encoder.pt encoder/saved_models/
# after: 'Loaded encoders models: 1', VC training page loads

enc_dir = Path(ENC_MODELS_DIRT)
if not enc_dir.is_dir() or not list(enc_dir.glob('*.pt')):
    raise SystemExit(f'Encoder models missing in {enc_dir}')

When it happens

Trigger: Loading the VC training page with no encoder models directory.

Common situations: Pretrained encoder not installed; models directory moved; fresh setup.

Related errors

• Model folder {EXT_MODELS_DIRT} doesn't exist.
• Model folder {CONV_MODELS_DIRT} doesn't exist.
• Model folder {EXT_MODELS_DIRT} doesn't exist.
• Model folder {CONV_MODELS_DIRT} doesn't exist.
• Model folder {SYN_MODELS_DIRT} doesn't exist.

AI-assisted analysis of babysor/MockingBird@28dc5e14f1 (2026-08-27). Data as JSON: /api/errors/a8fda94666f26a1d. Report an issue: GitHub.