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autoencoders
autoencoders
README.md
README.md
__init__.py
__init__.py
activations.py
activations.py
adapter.py
adapter.py
attention.py
attention.py
attention_flax.py
attention_flax.py
attention_processor.py
attention_processor.py
controlnet.py
controlnet.py
controlnet_flax.py
controlnet_flax.py
downsampling.py
downsampling.py
dual_transformer_2d.py
dual_transformer_2d.py
embeddings.py
embeddings.py
embeddings_flax.py
embeddings_flax.py
lora.py
lora.py
modeling_flax_pytorch_utils.py
modeling_flax_pytorch_utils.py
modeling_flax_utils.py
modeling_flax_utils.py
modeling_outputs.py
modeling_outputs.py
modeling_pytorch_flax_utils.py
modeling_pytorch_flax_utils.py
modeling_utils.py
modeling_utils.py
normalization.py
normalization.py
prior_transformer.py
prior_transformer.py
resnet.py
resnet.py
resnet_flax.py
resnet_flax.py
t5_film_transformer.py
t5_film_transformer.py
transformer_2d.py
transformer_2d.py
transformer_temporal.py
transformer_temporal.py
unet_1d.py
unet_1d.py
unet_1d_blocks.py
unet_1d_blocks.py
unet_2d.py
unet_2d.py
unet_2d_blocks.py
unet_2d_blocks.py
unet_2d_blocks_flax.py
unet_2d_blocks_flax.py
unet_2d_condition.py
unet_2d_condition.py
unet_2d_condition_flax.py
unet_2d_condition_flax.py
unet_3d_blocks.py
unet_3d_blocks.py
unet_3d_condition.py
unet_3d_condition.py
unet_kandinsky3.py
unet_kandinsky3.py
unet_motion_model.py
unet_motion_model.py
unet_spatio_temporal_condition.py
unet_spatio_temporal_condition.py
upsampling.py
upsampling.py
uvit_2d.py
uvit_2d.py
vae_flax.py
vae_flax.py
vq_model.py
vq_model.py
README.md
Models
For more detail on the models, please refer to the
docs
.
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