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Functions545 in github.com/bcmi/OSInsert-Image-Composition

⨍ Functions 545◇ Types & classes 112
Methodencode_to_prequant
(self, x)
libcom/os_insert/source/ldm/models/autoencoder.py:102
Methodforward
(self,model)
libcom/os_insert/source/ldm/modules/ema.py:25
Methodforward
(self, x)
libcom/os_insert/source/ldm/modules/x_transformer.py:34
Methodforward
(self, x, seq_dim=1, offset=0)
libcom/os_insert/source/ldm/modules/x_transformer.py:45
Methodforward
(self, x, **kwargs)
libcom/os_insert/source/ldm/modules/x_transformer.py:123
Methodforward
(self, x, **kwargs)
libcom/os_insert/source/ldm/modules/x_transformer.py:134
Methodforward
(self, x)
libcom/os_insert/source/ldm/modules/x_transformer.py:146
Methodforward
(self, x)
libcom/os_insert/source/ldm/modules/x_transformer.py:158
Methodforward
(self, x, residual)
libcom/os_insert/source/ldm/modules/x_transformer.py:164
Methodforward
(self, x, residual)
libcom/os_insert/source/ldm/modules/x_transformer.py:173
Methodforward
(self, x)
libcom/os_insert/source/ldm/modules/x_transformer.py:189
Methodforward
(self, x)
libcom/os_insert/source/ldm/modules/x_transformer.py:210
Methodforward
( self, x, context=None, mask=None, context_mask=N
libcom/os_insert/source/ldm/modules/x_transformer.py:268
Methodforward
( self, x, context=None, mask=None, context_mask=N
libcom/os_insert/source/ldm/modules/x_transformer.py:481
Methodforward
( self, x, return_embeddings=False, mask=None, ret
libcom/os_insert/source/ldm/modules/x_transformer.py:598
Methodforward
(self, x)
libcom/os_insert/source/ldm/modules/attention.py:42
Methodforward
(self, x)
libcom/os_insert/source/ldm/modules/attention.py:63
Methodforward
(self, x)
libcom/os_insert/source/ldm/modules/attention.py:88
Methodforward
(self, x)
libcom/os_insert/source/ldm/modules/attention.py:126
Methodforward
(self, x, context=None, mask=None)
libcom/os_insert/source/ldm/modules/attention.py:170
Methodforward
(self, x, context=None)
libcom/os_insert/source/ldm/modules/attention.py:208
Methodforward
(self, x, context=None)
libcom/os_insert/source/ldm/modules/attention.py:250
Methodforward
(self, x)
libcom/os_insert/source/ldm/modules/diffusionmodules/openaimodel.py:51
Methodforward
Apply the module to `x` given `emb` timestep embeddings.
libcom/os_insert/source/ldm/modules/diffusionmodules/openaimodel.py:68
Methodforward
(self, x, emb, context=None)
libcom/os_insert/source/ldm/modules/diffusionmodules/openaimodel.py:80
Methodforward
(self, x)
libcom/os_insert/source/ldm/modules/diffusionmodules/openaimodel.py:109
Methodforward
(self,x)
libcom/os_insert/source/ldm/modules/diffusionmodules/openaimodel.py:130
Methodforward
(self, x)
libcom/os_insert/source/ldm/modules/diffusionmodules/openaimodel.py:158
Methodforward
Apply the block to a Tensor, conditioned on a timestep embedding. :param x: an [N x C x ...] Tensor of features. :param emb:
libcom/os_insert/source/ldm/modules/diffusionmodules/openaimodel.py:243
Methodforward
Apply the block to a Tensor, conditioned on a timestep embedding. :param x: an [N x C x ...] Tensor of features. :param emb:
libcom/os_insert/source/ldm/modules/diffusionmodules/openaimodel.py:358
Methodforward
(self, x)
libcom/os_insert/source/ldm/modules/diffusionmodules/openaimodel.py:429
Methodforward
Apply QKV attention. :param qkv: an [N x (H * 3 * C) x T] tensor of Qs, Ks, and Vs. :return: an [N x (H * C) x T] tensor afte
libcom/os_insert/source/ldm/modules/diffusionmodules/openaimodel.py:471
Methodforward
Apply QKV attention. :param qkv: an [N x (3 * H * C) x T] tensor of Qs, Ks, and Vs. :return: an [N x (H * C) x T] tensor afte
libcom/os_insert/source/ldm/modules/diffusionmodules/openaimodel.py:503
Methodforward
Apply the model to an input batch. :param x: an [N x C x ...] Tensor of inputs. :param timesteps: a 1-D batch of timesteps.
libcom/os_insert/source/ldm/modules/diffusionmodules/openaimodel.py:852
Methodforward
Apply the model to an input batch. :param x: an [N x C x ...] Tensor of inputs. :param timesteps: a 1-D batch of timesteps.
libcom/os_insert/source/ldm/modules/diffusionmodules/openaimodel.py:1085
Methodforward
(ctx, run_function, length, *args)
libcom/os_insert/source/ldm/modules/diffusionmodules/util.py:121
Methodforward
(self, x)
libcom/os_insert/source/ldm/modules/diffusionmodules/util.py:215
Methodforward
(self, c_concat, c_crossattn)
libcom/os_insert/source/ldm/modules/diffusionmodules/util.py:258
Methodforward
(self, x)
libcom/os_insert/source/ldm/modules/diffusionmodules/model.py:53
Methodforward
(self, x)
libcom/os_insert/source/ldm/modules/diffusionmodules/model.py:72
Methodforward
(self, x, temb)
libcom/os_insert/source/ldm/modules/diffusionmodules/model.py:121
Methodforward
(self, x)
libcom/os_insert/source/ldm/modules/diffusionmodules/model.py:178
Methodforward
(self, x, t=None, context=None)
libcom/os_insert/source/ldm/modules/diffusionmodules/model.py:316
Methodforward
(self, x)
libcom/os_insert/source/ldm/modules/diffusionmodules/model.py:434
Methodforward
(self, z)
libcom/os_insert/source/ldm/modules/diffusionmodules/model.py:535
Methodforward
(self, x)
libcom/os_insert/source/ldm/modules/diffusionmodules/model.py:594
Methodforward
(self, x)
libcom/os_insert/source/ldm/modules/diffusionmodules/model.py:641
Methodforward
(self, x)
libcom/os_insert/source/ldm/modules/diffusionmodules/model.py:680
Methodforward
(self, x)
libcom/os_insert/source/ldm/modules/diffusionmodules/model.py:705
Methodforward
(self, x)
libcom/os_insert/source/ldm/modules/diffusionmodules/model.py:722
Methodforward
(self, x)
libcom/os_insert/source/ldm/modules/diffusionmodules/model.py:741
Methodforward
(self, x, scale_factor=1.0)
libcom/os_insert/source/ldm/modules/diffusionmodules/model.py:763
Methodforward
(self,x)
libcom/os_insert/source/ldm/modules/diffusionmodules/model.py:822
Methodforward
(self, x: th.Tensor)
libcom/os_insert/source/ldm/modules/encoders/xf.py:27
Methodforward
(self, x)
libcom/os_insert/source/ldm/modules/encoders/xf.py:41
Methodforward
(self, qkv)
libcom/os_insert/source/ldm/modules/encoders/xf.py:66
Methodforward
(self, x: th.Tensor)
libcom/os_insert/source/ldm/modules/encoders/xf.py:98
Methodforward
(self, x: th.Tensor)
libcom/os_insert/source/ldm/modules/encoders/xf.py:127
Methodforward
(self, batch, key=None)
libcom/os_insert/source/ldm/modules/encoders/modules.py:28
Methodforward
(self, tokens)
libcom/os_insert/source/ldm/modules/encoders/modules.py:45
Methodforward
(self, text)
libcom/os_insert/source/ldm/modules/encoders/modules.py:64
Methodforward
(self, text)
libcom/os_insert/source/ldm/modules/encoders/modules.py:94
Methodforward
(self,x)
libcom/os_insert/source/ldm/modules/encoders/modules.py:126
Methodforward
(self, image)
libcom/os_insert/source/ldm/modules/encoders/modules.py:163
Methodforward
(self, codebook_loss, inputs, reconstructions, optimizer_idx, global_step, last_layer=None, co
libcom/os_insert/source/ldm/modules/losses/vqperceptual.py:98
Methodforward
(self, inputs, reconstructions, posteriors, optimizer_idx, global_step, last_layer=None, cond=
libcom/os_insert/source/ldm/modules/losses/contperceptual.py:45
Methodforward
(self, input, return_pred_indices=False)
libcom/os_insert/source/ldm/models/autoencoder.py:117
Methodforward
(self, input, sample_posterior=True)
libcom/os_insert/source/ldm/models/autoencoder.py:335
Methodforward
(self, x, *args, **kwargs)
libcom/os_insert/source/ldm/models/autoencoder.py:442
Methodforward
(self, x_noisy, t, *args, **kwargs)
libcom/os_insert/source/ldm/models/diffusion/classifier.py:120
Methodforward
(self, x, *args, **kwargs)
libcom/os_insert/source/ldm/models/diffusion/ddpm.py:329
Methodforward
(self, inputs, *args, **kwargs)
libcom/os_insert/source/ldm/models/diffusion/ddpm.py:881
Methodforward
(self, x, t, c_concat: list = None, c_crossattn: list = None, **kwargs)
libcom/os_insert/source/ldm/models/diffusion/ddpm.py:1303
Methodget_base
(self)
libcom/os_insert/source/ldm/data/imagenet.py:390
Methodget_last_layer
(self)
libcom/os_insert/source/ldm/modules/diffusionmodules/model.py:364
Methodget_model_output
(x_input, bbox, t)
libcom/os_insert/source/ldm/models/diffusion/plms.py:178
Methodget_x_prev_and_pred_x0
(e_t, index)
libcom/os_insert/source/ldm/models/diffusion/plms.py:200
Functiongroup_by_key_prefix
(prefix, d)
libcom/os_insert/source/ldm/modules/x_transformer.py:106
Methodguidance_scale
(self)
diffusers_osinsert/_patched_pipeline_flux_fill.py:605
Functionhinge_d_loss_with_exemplar_weights
(logits_real, logits_fake, weights)
libcom/os_insert/source/ldm/modules/losses/vqperceptual.py:11
Functionimage2inpaint
(image, mask)
libcom/os_insert/source/ldm/data/open_images.py:245
Functioninit_
(tensor)
libcom/os_insert/source/ldm/modules/attention.py:29
Functioninner
(*args, **kwargs)
libcom/os_insert/source/ldm/modules/x_transformer.py:65
Methodinterrupt
(self)
diffusers_osinsert/_patched_pipeline_flux_fill.py:617
Functionisimage
(x)
libcom/os_insert/source/ldm/util.py:47
Methodjoint_attention_kwargs
(self)
diffusers_osinsert/_patched_pipeline_flux_fill.py:609
Functionl1
(x, y)
libcom/os_insert/source/ldm/modules/losses/vqperceptual.py:35
Functionl2
(x, y)
libcom/os_insert/source/ldm/modules/losses/vqperceptual.py:39
Functionload_model_from_config
Load ObjectStitch model from config and checkpoint. This mirrors the `load_model_from_config` helper in ObjectStitch's `scripts/inference.py`
libcom/os_insert/source/objectstitch_infer.py:95
Methodlog_images
(self, batch, only_inputs=False, plot_ema=False, **kwargs)
libcom/os_insert/source/ldm/models/autoencoder.py:233
Methodlog_images
(self, batch, only_inputs=False, **kwargs)
libcom/os_insert/source/ldm/models/autoencoder.py:401
Methodlog_images
(self, batch, N=8, *args, **kwargs)
libcom/os_insert/source/ldm/models/diffusion/classifier.py:238
Methodlog_images
(self, batch, split='train', N=4, n_row=4, sample=True, ddim_steps=200, ddim_eta=1., return_keys=None,
libcom/os_insert/source/ldm/models/diffusion/ddpm.py:1193
Functionmax_neg_value
(t)
libcom/os_insert/source/ldm/modules/attention.py:25
Functionmean_flat
https://github.com/openai/guided-diffusion/blob/27c20a8fab9cb472df5d6bdd6c8d11c8f430b924/guided_diffusion/nn.py#L86 Take the mean over all no
libcom/os_insert/source/ldm/util.py:63
Methodmode
(self)
libcom/os_insert/source/ldm/modules/distributions/distributions.py:9
Methodmode
(self)
libcom/os_insert/source/ldm/modules/distributions/distributions.py:61
Methodnll
(self, sample, dims=[1,2,3])
libcom/os_insert/source/ldm/modules/distributions/distributions.py:53
Methodnum_timesteps
(self)
diffusers_osinsert/_patched_pipeline_flux_fill.py:613
Methodon_train_batch_end
(self, *args, **kwargs)
libcom/os_insert/source/ldm/models/autoencoder.py:92
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