| <!-- Copyright 2025 The HuggingFace Team. All rights reserved. | |
| Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with | |
| the License. You may obtain a copy of the License at | |
| http://www.apache.org/licenses/LICENSE-2.0 | |
| Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on | |
| an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the | |
| specific language governing permissions and limitations under the License. --> | |
| # AllegroTransformer3DModel | |
| A Diffusion Transformer model for 3D data from [Allegro](https://github.com/rhymes-ai/Allegro) was introduced in [Allegro: Open the Black Box of Commercial-Level Video Generation Model](https://huggingface.co/papers/2410.15458) by RhymesAI. | |
| The model can be loaded with the following code snippet. | |
| ```python | |
| from diffusers import AllegroTransformer3DModel | |
| transformer = AllegroTransformer3DModel.from_pretrained("rhymes-ai/Allegro", subfolder="transformer", torch_dtype=torch.bfloat16).to("cuda") | |
| ``` | |
| ## AllegroTransformer3DModel | |
| [[autodoc]] AllegroTransformer3DModel | |
| ## Transformer2DModelOutput | |
| [[autodoc]] models.modeling_outputs.Transformer2DModelOutput | |