ConsisIDTransformer3DModel
A Diffusion Transformer model for 3D data from ConsisID was introduced in Identity-Preserving Text-to-Video Generation by Frequency Decomposition by Peking University & University of Rochester & etc.
The model can be loaded with the following code snippet.
from diffusers import ConsisIDTransformer3DModel
transformer = ConsisIDTransformer3DModel.from_pretrained("BestWishYsh/ConsisID-preview", subfolder="transformer", torch_dtype=torch.bfloat16).to("cuda")
ConsisIDTransformer3DModel
[[autodoc]] ConsisIDTransformer3DModel
Transformer2DModelOutput
[[autodoc]] models.modeling_outputs.Transformer2DModelOutput