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on
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Running
on
Zero
File size: 1,810 Bytes
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import importlib
__attributes = {
"Trellis2ImageTo3DPipeline": "trellis2_image_to_3d",
"Trellis2ImageTo3DCascadePipeline": "trellis2_image_to_3d_cascade",
"Trellis2ImageToTexturePipeline": "trellis2_image_to_tex",
}
__submodules = ['samplers', 'rembg']
__all__ = list(__attributes.keys()) + __submodules
def __getattr__(name):
if name not in globals():
if name in __attributes:
module_name = __attributes[name]
module = importlib.import_module(f".{module_name}", __name__)
globals()[name] = getattr(module, name)
elif name in __submodules:
module = importlib.import_module(f".{name}", __name__)
globals()[name] = module
else:
raise AttributeError(f"module {__name__} has no attribute {name}")
return globals()[name]
def from_pretrained(path: str):
"""
Load a pipeline from a model folder or a Hugging Face model hub.
Args:
path: The path to the model. Can be either local path or a Hugging Face model name.
"""
import os
import json
is_local = os.path.exists(f"{path}/pipeline.json")
if is_local:
config_file = f"{path}/pipeline.json"
else:
from huggingface_hub import hf_hub_download
config_file = hf_hub_download(path, "pipeline.json")
with open(config_file, 'r') as f:
config = json.load(f)
return globals()[config['name']].from_pretrained(path)
# For PyLance
if __name__ == '__main__':
from . import samplers, rembg
from .trellis_image_to_3d import TrellisImageTo3DPipeline
from .trellis2_image_to_3d import Trellis2ImageTo3DPipeline
from .trellis2_image_to_3d_cascade import Trellis2ImageTo3DCascadePipeline
from .trellis2_image_to_tex import Trellis2ImageToTexturePipeline
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