| <!--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. --> | |
| # CogView3PlusTransformer2DModel | |
| A Diffusion Transformer model for 2D data from [CogView3Plus](https://github.com/THUDM/CogView3) was introduced in [CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion](https://huggingface.co/papers/2403.05121) by Tsinghua University & ZhipuAI. | |
| The model can be loaded with the following code snippet. | |
| ```python | |
| from diffusers import CogView3PlusTransformer2DModel | |
| transformer = CogView3PlusTransformer2DModel.from_pretrained("THUDM/CogView3Plus-3b", subfolder="transformer", torch_dtype=torch.bfloat16).to("cuda") | |
| ``` | |
| ## CogView3PlusTransformer2DModel | |
| [[autodoc]] CogView3PlusTransformer2DModel | |
| ## Transformer2DModelOutput | |
| [[autodoc]] models.modeling_outputs.Transformer2DModelOutput | |