mirror of
https://github.com/huggingface/diffusers.git
synced 2026-01-27 17:22:53 +03:00
75d53cc839
* init for korean docs * edit build yml file for multi language docs * edit one more build yml file for multi language docs * add title for get_frontmatter error
84 lines
2.3 KiB
Plaintext
84 lines
2.3 KiB
Plaintext
<!--Copyright 2022 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.
|
|
-->
|
|
|
|
# Models
|
|
|
|
Diffusers contains pretrained models for popular algorithms and modules for creating the next set of diffusion models.
|
|
The primary function of these models is to denoise an input sample, by modeling the distribution $p_\theta(\mathbf{x}_{t-1}|\mathbf{x}_t)$.
|
|
The models are built on the base class ['ModelMixin'] that is a `torch.nn.module` with basic functionality for saving and loading models both locally and from the HuggingFace hub.
|
|
|
|
## ModelMixin
|
|
[[autodoc]] ModelMixin
|
|
|
|
## UNet2DOutput
|
|
[[autodoc]] models.unet_2d.UNet2DOutput
|
|
|
|
## UNet2DModel
|
|
[[autodoc]] UNet2DModel
|
|
|
|
## UNet1DOutput
|
|
[[autodoc]] models.unet_1d.UNet1DOutput
|
|
|
|
## UNet1DModel
|
|
[[autodoc]] UNet1DModel
|
|
|
|
## UNet2DConditionOutput
|
|
[[autodoc]] models.unet_2d_condition.UNet2DConditionOutput
|
|
|
|
## UNet2DConditionModel
|
|
[[autodoc]] UNet2DConditionModel
|
|
|
|
## DecoderOutput
|
|
[[autodoc]] models.vae.DecoderOutput
|
|
|
|
## VQEncoderOutput
|
|
[[autodoc]] models.vq_model.VQEncoderOutput
|
|
|
|
## VQModel
|
|
[[autodoc]] VQModel
|
|
|
|
## AutoencoderKLOutput
|
|
[[autodoc]] models.autoencoder_kl.AutoencoderKLOutput
|
|
|
|
## AutoencoderKL
|
|
[[autodoc]] AutoencoderKL
|
|
|
|
## Transformer2DModel
|
|
[[autodoc]] Transformer2DModel
|
|
|
|
## Transformer2DModelOutput
|
|
[[autodoc]] models.transformer_2d.Transformer2DModelOutput
|
|
|
|
## PriorTransformer
|
|
[[autodoc]] models.prior_transformer.PriorTransformer
|
|
|
|
## PriorTransformerOutput
|
|
[[autodoc]] models.prior_transformer.PriorTransformerOutput
|
|
|
|
## FlaxModelMixin
|
|
[[autodoc]] FlaxModelMixin
|
|
|
|
## FlaxUNet2DConditionOutput
|
|
[[autodoc]] models.unet_2d_condition_flax.FlaxUNet2DConditionOutput
|
|
|
|
## FlaxUNet2DConditionModel
|
|
[[autodoc]] FlaxUNet2DConditionModel
|
|
|
|
## FlaxDecoderOutput
|
|
[[autodoc]] models.vae_flax.FlaxDecoderOutput
|
|
|
|
## FlaxAutoencoderKLOutput
|
|
[[autodoc]] models.vae_flax.FlaxAutoencoderKLOutput
|
|
|
|
## FlaxAutoencoderKL
|
|
[[autodoc]] FlaxAutoencoderKL
|