Spaces:
Runtime error
Runtime error
fix: correct Hunyuan3D API call (remove invalid output_type parameter)
Browse files- Removed invalid output_type='mesh' parameter
- Updated response parsing to handle 4-element tuple correctly
- Added robust error handling for each tuple element
- Added detailed logging for debugging
- Verified against Hunyuan3D-2.1 API documentation
core/__pycache__/__init__.cpython-313.pyc
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Binary file (528 Bytes). View file
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core/__pycache__/config.cpython-313.pyc
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Binary file (2.05 kB). View file
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core/__pycache__/pipeline.cpython-313.pyc
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Binary file (6.86 kB). View file
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core/__pycache__/types.cpython-313.pyc
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Binary file (1.34 kB). View file
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generators/hunyuan.py
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@@ -58,7 +58,7 @@ class HunyuanGenerator:
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print(f"[Hunyuan3D] Connected successfully")
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# Call API
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print(f"[Hunyuan3D] Calling API with parameters...")
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result = self._call_api(
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client,
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@@ -74,44 +74,82 @@ class HunyuanGenerator:
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check_box_rembg=True,
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num_chunks=preset.num_chunks,
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randomize_seed=True,
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output_type="mesh", # CRITICAL: Specify mesh output to get GLB file
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api_name="/shape_generation"
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)
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print(f"[Hunyuan3D] API call completed")
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# Extract GLB path
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print(f"[Hunyuan3D] Raw result type: {type(result)}")
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print(f"[Hunyuan3D] Raw result: {result}")
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# Extract path from file_data
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if isinstance(file_data, dict):
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elif 'path' in file_data:
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glb_path = file_data['path']
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elif 'name' in file_data:
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glb_path = file_data['name']
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else:
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elif isinstance(file_data, str):
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glb_path = file_data
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else:
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# Validate path exists
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if not glb_path or
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raise ValueError(
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print(f"[Hunyuan3D] Model generated: {glb_path}")
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)
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print(f"[Hunyuan3D] Connected successfully")
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# Call API (returns tuple: file, output, mesh_stats, seed)
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print(f"[Hunyuan3D] Calling API with parameters...")
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result = self._call_api(
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client,
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check_box_rembg=True,
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num_chunks=preset.num_chunks,
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randomize_seed=True,
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api_name="/shape_generation"
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)
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print(f"[Hunyuan3D] API call completed")
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# Extract GLB path from tuple response
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# API returns: (file, output, mesh_stats, seed)
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print(f"[Hunyuan3D] Raw result type: {type(result)}")
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print(f"[Hunyuan3D] Raw result length: {len(result) if isinstance(result, (tuple, list)) else 'N/A'}")
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if not isinstance(result, tuple):
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raise ValueError(
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f"Unexpected result type from Hunyuan3D API: {type(result)}. "
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f"Expected tuple of (file, output, mesh_stats, seed)."
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)
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if len(result) != 4:
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raise ValueError(
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f"Unexpected result length from Hunyuan3D API: {len(result)}. "
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f"Expected 4 elements (file, output, mesh_stats, seed), got {len(result)}."
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)
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# Extract GLB file path (first element)
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file_data, html_output, mesh_stats, used_seed = result
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print(f"[Hunyuan3D] file_data type: {type(file_data)}")
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print(f"[Hunyuan3D] mesh_stats: {mesh_stats}")
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print(f"[Hunyuan3D] used_seed: {used_seed}")
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# Extract path from file_data
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if file_data is None:
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raise ValueError(
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"Hunyuan3D API returned None for file. "
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"This usually means the generation failed on the server side. "
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"Possible causes:\n"
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" - Invalid image input\n"
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" - API timeout\n"
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" - Server overload\n"
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"Try again with a different image or quality setting."
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)
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# Handle different file_data formats
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if isinstance(file_data, dict):
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print(f"[Hunyuan3D] file_data is dict with keys: {file_data.keys()}")
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if 'path' in file_data:
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glb_path = file_data['path']
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elif 'value' in file_data:
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glb_path = file_data['value']
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elif 'name' in file_data:
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glb_path = file_data['name']
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else:
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raise ValueError(
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f"Unexpected dict format from Hunyuan3D API. "
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f"Keys: {list(file_data.keys())}"
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)
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elif isinstance(file_data, str):
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glb_path = file_data
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else:
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raise ValueError(
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f"Unexpected file_data type: {type(file_data)}. "
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f"Expected dict or str."
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)
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print(f"[Hunyuan3D] Extracted GLB path: {glb_path}")
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# Validate path exists
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if not glb_path or glb_path == "None":
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raise ValueError(
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"Hunyuan3D API returned invalid path. "
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"The generation may have failed on the server side."
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)
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if not Path(glb_path).exists():
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raise ValueError(
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f"GLB file not found at path: {glb_path}. "
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f"The file may not have been generated or saved correctly."
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)
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print(f"[Hunyuan3D] Model generated: {glb_path}")
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