Functions — github.com/horseee/DeepCache

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Functions1,211 in github.com/horseee/DeepCache

⨍ Functions 1,211◇ Types & classes 220

↓ 1 callersFunctionget_class_obj_and_candidates

Simple helper method to retrieve class object of module as well as potential parent class objects

DeepCache/svd/pipeline_utils.py:319

↓ 1 callersFunctionget_class_obj_and_candidates

Simple helper method to retrieve class object of module as well as potential parent class objects

DeepCache/sd/pipeline_utils.py:308

↓ 1 callersFunctionget_cond

(mode, selected_path)

experiments/ldm/notebook_helpers.py:107

↓ 1 callersFunctionget_dataset

(args, config)

experiments/ddpm/ddpm/datasets/__init__.py:30

↓ 1 callersFunctionget_down_block

( down_block_type, num_layers, in_channels, out_channels, temb_channels, add_downsampl

DeepCache/sdxl/unet_2d_blocks.py:38

↓ 1 callersFunctionget_down_block

( down_block_type: str, num_layers: int, in_channels: int, out_channels: int, temb_channel

DeepCache/svd/unet_3d_blocks.py:38

↓ 1 callersFunctionget_down_block

( down_block_type, num_layers, in_channels, out_channels, temb_channels, add_downsampl

DeepCache/sd/unet_2d_blocks.py:38

↓ 1 callersFunctionget_image_paths

(dataroot)

experiments/ldm/ldm/modules/image_degradation/utils_image.py:67

↓ 1 callersFunctionget_model

()

experiments/ldm/sample_ddp_deepcache.py:37

↓ 1 callersFunctionget_obj_from_str

(string, reload=False)

experiments/ldm/ldm/util.py:88

↓ 1 callersFunctionget_optimizer

(config, parameters)

experiments/ddpm/ddpm/functions/__init__.py:4

↓ 1 callersFunctionget_parser

(**parser_kwargs)

experiments/ldm/main.py:24

↓ 1 callersFunctionget_parser

()

experiments/ldm/scripts/sample_diffusion.py:162

↓ 1 callersFunctionget_timestamp

()

experiments/ldm/ldm/modules/image_degradation/utils_image.py:33

↓ 1 callersFunctionget_timestep_embedding

This matches the implementation in Denoising Diffusion Probabilistic Models: From Fairseq. Build sinusoidal embeddings. This matches

experiments/ddpm/ddpm/models/diffusion.py:6

↓ 1 callersFunctionget_timestep_embedding

This matches the implementation in Denoising Diffusion Probabilistic Models: From Fairseq. Build sinusoidal embeddings. This matches

experiments/ddpm/ddpm/models/deepcache_diffusion.py:7

↓ 1 callersFunctionget_timestep_embedding

This matches the implementation in Denoising Diffusion Probabilistic Models: From Fairseq. Build sinusoidal embeddings. This matches

experiments/ldm/ldm/modules/diffusionmodules/model.py:12

↓ 1 callersMethodget_timesteps

(self, num_inference_steps, strength, device, denoising_start=None)

DeepCache/sdxl/pipeline_stable_diffusion_xl_img2img.py:503

↓ 1 callersFunctionget_up_block

( up_block_type, num_layers, in_channels, out_channels, prev_output_channel, temb_chan

DeepCache/sdxl/unet_2d_blocks.py:247

↓ 1 callersFunctionget_up_block

( up_block_type: str, num_layers: int, in_channels: int, out_channels: int, prev_output_ch

DeepCache/svd/unet_3d_blocks.py:166

↓ 1 callersFunctionget_up_block

( up_block_type, num_layers, in_channels, out_channels, prev_output_channel, temb_chan

DeepCache/sd/unet_2d_blocks.py:247

↓ 1 callersMethodget_x_noisy

(self, x, t, noise=None)

experiments/ldm/ldm/models/diffusion/classifier.py:110

↓ 1 callersFunctiongm_blur_kernel

(mean, cov, size=15)

experiments/ldm/ldm/modules/image_degradation/bsrgan_light.py:86

↓ 1 callersFunctiongm_blur_kernel

(mean, cov, size=15)

experiments/ldm/ldm/modules/image_degradation/bsrgan.py:86

↓ 1 callersFunctionimread_uint

(path, n_channels=3)

experiments/ldm/ldm/modules/image_degradation/utils_image.py:185

↓ 1 callersFunctionimssave

imgs: list, N images of size WxHxC

experiments/ldm/ldm/modules/image_degradation/utils_image.py:112

↓ 1 callersMethodinit_

(self)

experiments/ldm/ldm/modules/x_transformer.py:31

↓ 1 callersMethodinit_

(self)

experiments/ldm/ldm/modules/x_transformer.py:595

↓ 1 callersMethodinit_from_ckpt

(self, path, ignore_keys=list())

experiments/ldm/ldm/models/autoencoder.py:78

↓ 1 callersMethodinit_from_ckpt

(self, path, ignore_keys=list())

experiments/ldm/ldm/models/autoencoder.py:313

↓ 1 callersMethodinit_from_ckpt

(self, path, ignore_keys=list(), only_model=False)

experiments/ldm/ldm/models/diffusion/classifier.py:70

↓ 1 callersMethodinstantiate_cond_stage

(self, config)

experiments/ldm/ldm/models/diffusion/ddpm.py:509

↓ 1 callersMethodinstantiate_first_stage

(self, config)

experiments/ldm/ldm/models/diffusion/ddpm.py:502

↓ 1 callersMethodinstantiate_pretrained

(self, config)

experiments/ldm/ldm/modules/diffusionmodules/model.py:807

↓ 1 callersFunctionis_image_file

(filename)

experiments/ldm/ldm/modules/image_degradation/utils_image.py:29

↓ 1 callersMethodis_skip_step

(self, block_i, layer_i, blocktype = "down")

DeepCache/extension/deepcache.py:24

↓ 1 callersFunctionisimage

(x)

experiments/ldm/ldm/util.py:47

↓ 1 callersMethodkl

(self, other=None)

experiments/ldm/ldm/modules/distributions/distributions.py:39

↓ 1 callersMethodload_classifier

(self, ckpt_path, pool)

experiments/ldm/ldm/models/diffusion/classifier.py:95

↓ 1 callersMethodload_database

(self)

experiments/ldm/scripts/knn2img.py:104

↓ 1 callersFunctionload_datapool

(dpath)

experiments/ldm/scripts/train_searcher.py:28

↓ 1 callersMethodload_diffusion

(self)

experiments/ldm/ldm/models/diffusion/classifier.py:88

↓ 1 callersFunctionload_model

(config, ckpt, gpu, eval_mode)

experiments/ldm/scripts/sample_diffusion.py:228

↓ 1 callersFunctionload_model_from_config

(config, ckpt)

experiments/ldm/notebook_helpers.py:40

↓ 1 callersFunctionload_model_from_config

(config, ckpt)

experiments/ldm/sample_ddp_deepcache.py:26

↓ 1 callersFunctionload_model_from_config

(config, sd)

experiments/ldm/scripts/sample_diffusion.py:220

↓ 1 callersFunctionload_model_from_config

(config, ckpt, verbose=False)

experiments/ldm/scripts/txt2img.py:15

↓ 1 callersFunctionload_model_from_config

(config, ckpt, verbose=False)

experiments/ldm/scripts/knn2img.py:41

↓ 1 callersMethodload_retriever

(self, version='ViT-L/14', )

experiments/ldm/scripts/knn2img.py:123

↓ 1 callersMethodload_searcher

(self)

experiments/ldm/scripts/knn2img.py:130

↓ 1 callersFunctionload_single_file

(saved_embeddings)

experiments/ldm/scripts/train_searcher.py:31

↓ 1 callersMethodload_single_file

(self, saved_embeddings)

experiments/ldm/scripts/knn2img.py:91

↓ 1 callersFunctionload_sub_model

Helper method to load the module `name` from `library_name` and `class_name`

DeepCache/sdxl/pipeline_utils.py:370

↓ 1 callersFunctionload_sub_model

Helper method to load the module `name` from `library_name` and `class_name`

DeepCache/svd/pipeline_utils.py:411

↓ 1 callersFunctionload_sub_model

Helper method to load the module `name` from `library_name` and `class_name`

DeepCache/sd/pipeline_utils.py:371

↓ 1 callersMethodlog_images

(self, batch, only_inputs=False, plot_ema=False, **kwargs)

experiments/ldm/ldm/models/autoencoder.py:233

↓ 1 callersMethodlog_images

(self, batch, N=8, n_row=2, sample=True, return_keys=None, **kwargs)

experiments/ldm/ldm/models/diffusion/ddpm.py:378

↓ 1 callersMethodlog_local

(self, save_dir, split, images, global_step, current_epoch, batch_idx)

experiments/ldm/main.py:321

↓ 1 callersFunctionlogit_transform

(image, lam=1e-6)

experiments/ddpm/ddpm/datasets/__init__.py:184

↓ 1 callersFunctionmain

(args)

experiments/generate.py:20

↓ 1 callersFunctionmain

()

experiments/ddpm/ddim.py:121

↓ 1 callersFunctionmain

()

experiments/ddpm/fid.py:325

↓ 1 callersFunctionmain

()

experiments/ldm/sample_ddp_deepcache.py:42

↓ 1 callersFunctionmake_batch

(image, mask, device)

experiments/ldm/scripts/inpaint.py:11

↓ 1 callersFunctionmake_beta_schedule

(schedule, n_timestep, linear_start=1e-4, linear_end=2e-2, cosine_s=8e-3)

experiments/ldm/ldm/modules/diffusionmodules/util.py:21

↓ 1 callersMethodmake_cond_schedule

(self, )

experiments/ldm/ldm/models/diffusion/ddpm.py:471

↓ 1 callersFunctionmake_convolutional_sample

(batch, model, mode="vanilla", custom_steps=None, eta=1.0, swap_mode=False, masked=False,

experiments/ldm/notebook_helpers.py:208

↓ 1 callersFunctionmake_convolutional_sample

(model, batch_size, vanilla=False, custom_steps=None, eta=1.0,)

experiments/ldm/scripts/sample_diffusion.py:79

↓ 1 callersMethodmake_schedule

(self, ddim_num_steps, ddim_discretize="uniform", ddim_eta=0., verbose=True)

experiments/ldm/ldm/models/diffusion/ddim.py:24

↓ 1 callersMethodmake_schedule

(self, ddim_num_steps, ddim_discretize="uniform", ddim_eta=0., verbose=True)

experiments/ldm/ldm/models/diffusion/plms.py:24

↓ 1 callersFunctionmax_neg_value

(tensor)

experiments/ldm/ldm/modules/x_transformer.py:82

↓ 1 callersMethodmaybe_free_model_hooks

r""" Function that offloads all components, removes all model hooks that were added when using `enable_model_cpu_offload` and then app

DeepCache/svd/pipeline_utils.py:1462

↓ 1 callersFunctionmaybe_raise_or_warn

Simple helper method to raise or warn in case incorrect module has been passed

DeepCache/sdxl/pipeline_utils.py:276

↓ 1 callersFunctionmaybe_raise_or_warn

Simple helper method to raise or warn in case incorrect module has been passed

DeepCache/svd/pipeline_utils.py:288

↓ 1 callersFunctionmaybe_raise_or_warn

Simple helper method to raise or warn in case incorrect module has been passed

DeepCache/sd/pipeline_utils.py:276

↓ 1 callersFunctionmean_flat

Take the mean over all non-batch dimensions.

experiments/ldm/ldm/modules/diffusionmodules/util.py:192

↓ 1 callersFunctionmeasure_perplexity

(predicted_indices, n_embed)

experiments/ldm/ldm/modules/losses/vqperceptual.py:26

↓ 1 callersFunctionmelk

(*args, **kwargs)

experiments/ldm/main.py:697

↓ 1 callersFunctionnondefault_trainer_args

(opt)

experiments/ldm/main.py:126

↓ 1 callersFunctionnormal_kl

source: https://github.com/openai/guided-diffusion/blob/27c20a8fab9cb472df5d6bdd6c8d11c8f430b924/guided_diffusion/losses.py#L12 Compute the K

experiments/ldm/ldm/modules/distributions/distributions.py:65

↓ 1 callersFunctionnot_equals

(val)

experiments/ldm/ldm/modules/x_transformer.py:70

↓ 1 callersMethodnumpy_to_pil

Convert a NumPy image or a batch of images to a PIL image.

DeepCache/sd/pipeline_utils.py:1698

↓ 1 callersMethodp_losses

(self, x_start, t, noise=None)

experiments/ldm/ldm/models/diffusion/ddpm.py:294

↓ 1 callersMethodp_losses

(self, x_start, cond, t, noise=None)

experiments/ldm/ldm/models/diffusion/ddpm.py:1012

↓ 1 callersMethodp_mean_variance

(self, x, t, clip_denoised: bool)

experiments/ldm/ldm/models/diffusion/ddpm.py:231

↓ 1 callersMethodp_mean_variance

(self, x, c, t, clip_denoised: bool, return_codebook_ids=False, quantize_denoised=False,

experiments/ldm/ldm/models/diffusion/ddpm.py:1047

↓ 1 callersMethodp_sample

(self, x, t, clip_denoised=True, repeat_noise=False)

experiments/ldm/ldm/models/diffusion/ddpm.py:244

↓ 1 callersMethodp_sample_ddim

(self, x, c, t, index, repeat_noise=False, use_original_steps=False, quantize_denoised=False,

experiments/ldm/ldm/models/diffusion/ddim.py:172

↓ 1 callersMethodp_sample_loop

(self, cond, shape, return_intermediates=False, x_T=None, verbose=True, callback=None, t

experiments/ldm/ldm/models/diffusion/ddpm.py:1166

↓ 1 callersMethodp_sample_plms

(self, x, c, t, index, repeat_noise=False, use_original_steps=False, quantize_denoised=False,

experiments/ldm/ldm/models/diffusion/plms.py:173

↓ 1 callersFunctionparse_args_and_config

()

experiments/ddpm/ddim.py:28

↓ 1 callersFunctionpatches_from_image

(img, p_size=512, p_overlap=64, p_max=800)

experiments/ldm/ldm/modules/image_degradation/utils_image.py:93

↓ 1 callersMethodplms_sampling

(self, cond, shape, x_T=None, ddim_use_original_steps=False, callb

experiments/ldm/ldm/models/diffusion/plms.py:115

↓ 1 callersMethodprepare_data

(self)

experiments/ldm/main.py:185

↓ 1 callersMethodprepare_extra_step_kwargs

(self, generator, eta)

DeepCache/sdxl/pipeline_stable_diffusion_xl.py:411

↓ 1 callersMethodprepare_extra_step_kwargs

(self, generator, eta)

DeepCache/sdxl/pipeline_stable_diffusion_xl_img2img.py:419

↓ 1 callersMethodprepare_latents

(self, batch_size, num_channels_latents, height, width, dtype, device, generator, latents=None)

DeepCache/sdxl/pipeline_stable_diffusion_xl.py:502

↓ 1 callersMethodprepare_latents

( self, image, timestep, batch_size, num_images_per_prompt, dtype, device, generator=None, add_noise=T

DeepCache/sdxl/pipeline_stable_diffusion_xl_img2img.py:527

↓ 1 callersMethodprepare_latents

( self, batch_size, num_frames, num_channels_latents, height,

DeepCache/svd/pipeline_stable_video_diffusion.py:249

↓ 1 callersMethodprogress_bar

(self, iterable=None, total=None)

DeepCache/svd/pipeline_utils.py:1971

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