(SIGGRAPH Asia 2024) This is the official PyTorch implementation of SIGGRAPH Asia 2024 paper: DrawingSpinUp: 3D Animation from Single Character Drawings
Traceback (most recent call last):
File "mv.py", line 172, in
pipeline = load_wonder3d_pipeline(config)
File "mv.py", line 30, in load_wonder3d_pipeline
pipeline = DiffusionPipeline.from_pretrained(
File "/home/test/py3.8_for_DrawingSpinUp/lib/python3.8/site-packages/diffusers/pipelines/pipeline_utils.py", line 949, in from_pretrained
pipeline_class = _get_pipeline_class(
File "/home/test/py3.8_for_DrawingSpinUp/lib/python3.8/site-packages/diffusers/pipelines/pipeline_utils.py", line 346, in _get_pipeline_class
pipeline_cls = getattr(diffusers_module, config["_class_name"])
AttributeError: module 'diffusers' has no attribute 'MVDiffusionImagePipeline'
def load_wonder3d_pipeline(config): pipeline = DiffusionPipeline.from_pretrained(
config.pretrained_model_name_or_path,#这里被墙了,我从其他电脑下载后存放到/home/test/wonder3d这个目录了
Traceback (most recent call last): File "mv.py", line 172, in
pipeline = load_wonder3d_pipeline(config)
File "mv.py", line 30, in load_wonder3d_pipeline
pipeline = DiffusionPipeline.from_pretrained(
File "/home/test/py3.8_for_DrawingSpinUp/lib/python3.8/site-packages/diffusers/pipelines/pipeline_utils.py", line 949, in from_pretrained
pipeline_class = _get_pipeline_class(
File "/home/test/py3.8_for_DrawingSpinUp/lib/python3.8/site-packages/diffusers/pipelines/pipeline_utils.py", line 346, in _get_pipeline_class
pipeline_cls = getattr(diffusers_module, config["_class_name"])
AttributeError: module 'diffusers' has no attribute 'MVDiffusionImagePipeline'