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Functions475 in github.com/Doubiiu/ToonCrafter

Methoddecode
(self, x, *args, **kwargs)
lvdm/models/autoencoder.py:226
Methoddecode
(self, x_latent, cond, t_start, unconditional_guidance_scale=1.0, unconditional_conditioning=None,
lvdm/models/samplers/ddim_multiplecond.py:288
Methoddecode
(self, x_latent, cond, t_start, unconditional_guidance_scale=1.0, unconditional_conditioning=None,
lvdm/models/samplers/ddim.py:282
Methoddifferentiable_decode_first_stage
(self, z, **kwargs)
lvdm/models/ddpm3d.py:686
Functiondisabled_train
Overwrite model.train with this function to make sure train/eval mode does not change anymore.
lvdm/basics.py:14
Functiondisabled_train
Overwrite model.train with this function to make sure train/eval mode does not change anymore.
lvdm/modules/encoders/condition.py:51
Functiondivein
(*args, **kwargs)
main/trainer.py:136
Functiondo_autocast
(*args, **kwargs)
lvdm/common.py:17
Methodefficient_forward
(self, x, context=None, mask=None)
lvdm/modules/attention.py:146
Methodencode
(self, x)
lvdm/modules/encoders/condition.py:20
Methodencode
(self, text)
lvdm/modules/encoders/condition.py:85
Methodencode
(self, text)
lvdm/modules/encoders/condition.py:132
Methodencode
(self, text)
lvdm/modules/encoders/condition.py:233
Methodencode
(self, text)
lvdm/modules/encoders/condition.py:292
Methodencode
(self, text)
lvdm/modules/encoders/condition.py:383
Methodencode
(self, x, *args, **kwargs)
lvdm/models/autoencoder.py:223
Methodforward
(self,model)
lvdm/ema.py:25
Methodforward
(self, x)
lvdm/basics.py:77
Methodforward
(self, c_concat, c_crossattn)
lvdm/basics.py:97
Methodforward
(self, x)
lvdm/modules/x_transformer.py:33
Methodforward
(self, x, seq_dim=1, offset=0)
lvdm/modules/x_transformer.py:44
Methodforward
(self, x, **kwargs)
lvdm/modules/x_transformer.py:122
Methodforward
(self, x, **kwargs)
lvdm/modules/x_transformer.py:133
Methodforward
(self, x)
lvdm/modules/x_transformer.py:145
Methodforward
(self, x)
lvdm/modules/x_transformer.py:157
Methodforward
(self, x, residual)
lvdm/modules/x_transformer.py:163
Methodforward
(self, x, residual)
lvdm/modules/x_transformer.py:172
Methodforward
(self, x)
lvdm/modules/x_transformer.py:188
Methodforward
(self, x)
lvdm/modules/x_transformer.py:209
Methodforward
( self, x, context=None, mask=None, context_mask=N
lvdm/modules/x_transformer.py:267
Methodforward
( self, x, context=None, mask=None, context_mask=N
lvdm/modules/x_transformer.py:480
Methodforward
( self, x, return_embeddings=False, mask=None, ret
lvdm/modules/x_transformer.py:597
Methodforward
(self, length_q, length_k)
lvdm/modules/attention.py:30
Methodforward
(self, x, context=None, mask=None)
lvdm/modules/attention.py:81
Methodforward
(self, x, context=None, mask=None, **kwargs)
lvdm/modules/attention.py:231
Methodforward
(self, x, context=None, **kwargs)
lvdm/modules/attention.py:294
Methodforward
(self, x, context=None)
lvdm/modules/attention.py:365
Methodforward
(self, x)
lvdm/modules/attention.py:420
Methodforward
(self, x)
lvdm/modules/attention.py:441
Methodforward
(self, x)
lvdm/modules/attention.py:453
Methodforward
(self, x)
lvdm/modules/attention.py:491
Methodforward
(self, x)
lvdm/modules/attention_svd.py:92
Methodforward
(self, x)
lvdm/modules/attention_svd.py:112
Methodforward
(self, x)
lvdm/modules/attention_svd.py:139
Methodforward
(self, x: torch.Tensor)
lvdm/modules/attention_svd.py:179
Methodforward
(self, x)
lvdm/modules/attention_svd.py:229
Methodforward
( self, x, context=None, mask=None, additional_tokens=None,
lvdm/modules/attention_svd.py:281
Methodforward
( self, x, context=None, mask=None, additional_tokens=None,
lvdm/modules/attention_svd.py:373
Methodforward
( self, x, context=None, additional_tokens=None, n_times_crossframe_attn_in_self=0 )
lvdm/modules/attention_svd.py:527
Methodforward
(self, x, context=None)
lvdm/modules/attention_svd.py:608
Methodforward
(self, x, context=None)
lvdm/modules/attention_svd.py:702
Methodforward
( self, x: torch.Tensor, context: Optional[torch.Tensor] = None, )
lvdm/modules/attention_svd.py:752
Methodforward
Apply the module to `x` given `emb` timestep embeddings.
lvdm/modules/networks/openaimodel3d.py:24
Methodforward
(self, x, emb, context=None, batch_size=None)
lvdm/modules/networks/openaimodel3d.py:36
Methodforward
(self, x)
lvdm/modules/networks/openaimodel3d.py:75
Methodforward
(self, x)
lvdm/modules/networks/openaimodel3d.py:98
Methodforward
Apply the block to a Tensor, conditioned on a timestep embedding. :param x: an [N x C x ...] Tensor of features. :param emb:
lvdm/modules/networks/openaimodel3d.py:197
Methodforward
(self, x)
lvdm/modules/networks/openaimodel3d.py:272
Methodforward
(self, x, timesteps, context=None, features_adapter=None, fs=None, **kwargs)
lvdm/modules/networks/openaimodel3d.py:548
Methodforward
(self, x)
lvdm/modules/networks/ae_modules.py:55
Methodforward
(self, x)
lvdm/modules/networks/ae_modules.py:104
Methodforward
(self, x)
lvdm/modules/networks/ae_modules.py:125
Methodforward
(self, x, temb)
lvdm/modules/networks/ae_modules.py:192
Methodforward
(self, x, t=None, context=None)
lvdm/modules/networks/ae_modules.py:314
Methodforward
(self, x, return_hidden_states=False)
lvdm/modules/networks/ae_modules.py:432
Methodforward
(self, z)
lvdm/modules/networks/ae_modules.py:551
Methodforward
(self, x)
lvdm/modules/networks/ae_modules.py:616
Methodforward
(self, x)
lvdm/modules/networks/ae_modules.py:663
Methodforward
(self, x)
lvdm/modules/networks/ae_modules.py:702
Methodforward
(self, x)
lvdm/modules/networks/ae_modules.py:727
Methodforward
(self, x)
lvdm/modules/networks/ae_modules.py:744
Methodforward
(self, x)
lvdm/modules/networks/ae_modules.py:763
Methodforward
(self, x, scale_factor=1.0)
lvdm/modules/networks/ae_modules.py:785
Methodforward
(self,x)
lvdm/modules/networks/ae_modules.py:844
Methodforward
(self, batch, key=None, disable_dropout=False)
lvdm/modules/encoders/condition.py:32
Methodforward
(self, text)
lvdm/modules/encoders/condition.py:76
Methodforward
(self, text)
lvdm/modules/encoders/condition.py:119
Methodforward
(self, x, no_dropout=False)
lvdm/modules/encoders/condition.py:165
Methodforward
(self, text)
lvdm/modules/encoders/condition.py:209
Methodforward
(self, image, no_dropout=False)
lvdm/modules/encoders/condition.py:281
Methodforward
(self, image, no_dropout=False)
lvdm/modules/encoders/condition.py:337
Methodforward
(self, text)
lvdm/modules/encoders/condition.py:386
Methodforward
(self, image_embeds)
lvdm/modules/encoders/resampler.py:18
Methodforward
Args: x (torch.Tensor): image features shape (b, n1, D) latent (torch.Tensor): latent features
lvdm/modules/encoders/resampler.py:64
Methodforward
(self, x)
lvdm/modules/encoders/resampler.py:134
Methodforward
(self, x, *args, **kwargs)
lvdm/models/ddpm3d.py:363
Methodforward
(self, x, c, **kwargs)
lvdm/models/ddpm3d.py:723
Methodforward
(self, x, t, c_concat: list = None, c_crossattn: list = None, c_adm=None, s=None, mask=None, *
lvdm/models/ddpm3d.py:1249
Methodforward
(self, input, sample_posterior=True, **additional_decode_kwargs)
lvdm/models/autoencoder.py:118
Methodforward
(self, x, *args, **kwargs)
lvdm/models/autoencoder.py:234
Methodforward
(self, x, temb)
lvdm/models/autoencoder_dualref.py:72
Methodforward
(self, x, **kwargs)
lvdm/models/autoencoder_dualref.py:138
Methodforward
(self, x, **kwargs)
lvdm/models/autoencoder_dualref.py:202
Methodforward
(self, x, context=None, mask=None, **unused_kwargs)
lvdm/models/autoencoder_dualref.py:210
Methodforward
(self, x, context=None, mask=None)
lvdm/models/autoencoder_dualref.py:264
Methodforward
(self, x, context)
lvdm/models/autoencoder_dualref.py:351
Methodforward
Apply the module to `x` given `emb` timestep embeddings.
lvdm/models/autoencoder_dualref.py:549
Methodforward
Apply the block to a Tensor, conditioned on a timestep embedding. :param x: an [N x C x ...] Tensor of features. :param em
lvdm/models/autoencoder_dualref.py:660
Methodforward
( self, x: torch.Tensor, context: torch.Tensor = None, timesteps: int = None )
lvdm/models/autoencoder_dualref.py:791
Methodforward
(self, x, temb, skip_video=False, timesteps=None)
lvdm/models/autoencoder_dualref.py:892
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