Functions — github.com/Chen-Yang-Liu/Text2Earth

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Functions8,312 in github.com/Chen-Yang-Liu/Text2Earth

⨍ Functions 8,312◇ Types & classes 1,375↳ Endpoints 6

↓ 5 callersMethodnormalize

Normalize an image array to [-1,1].

src/diffusers/image_processor.py:151

↓ 5 callersMethodnumpy_to_pt

Convert a NumPy image to a PyTorch tensor.

src/diffusers/pipelines/marigold/marigold_image_processing.py:59

↓ 5 callersMethodpost_process_latents

(self, prior_latents)

src/diffusers/models/transformers/prior_transformer.py:378

↓ 5 callersMethodprepare_init_args_and_inputs_for_common

(self)

tests/models/unets/test_models_unet_3d_condition.py:60

↓ 5 callersMethodpreprocess_video

r""" Preprocesses input video(s). Args: video (`List[PIL.Image]`, `List[List[PIL.Image]]`, `torch.Tensor`, `np.array`, `L

src/diffusers/video_processor.py:28

↓ 5 callersMethodpt_to_numpy

Convert a PyTorch tensor to a NumPy image.

src/diffusers/image_processor.py:143

↓ 5 callersMethodpt_to_numpy

Convert a PyTorch tensor to a NumPy image.

src/diffusers/pipelines/marigold/marigold_image_processing.py:51

↓ 5 callersFunctionrearrange_dims

(tensor: torch.Tensor)

src/diffusers/models/resnet.py:377

↓ 5 callersMethodresize_antialias

( image: torch.Tensor, size: Tuple[int, int], mode: str, is_aa: Optional[bool] = None )

src/diffusers/pipelines/marigold/marigold_image_processing.py:74

↓ 5 callersMethodset_image_to_text_mode

r"""Manually set the generation mode to image-conditioned text generation.

src/diffusers/pipelines/unidiffuser/pipeline_unidiffuser.py:260

↓ 5 callersMethodset_text_to_image_mode

r"""Manually set the generation mode to text-conditioned image generation.

src/diffusers/pipelines/unidiffuser/pipeline_unidiffuser.py:256

↓ 5 callersFunctionshave_segments

Removes segments. Positive values shave the first segments, negative shave the last segments.

src/diffusers/pipelines/stable_diffusion/convert_from_ckpt.py:69

↓ 5 callersMethodsimulate_backprop

(self, unet)

tests/others/test_ema.py:54

↓ 5 callersFunctionto_np

(tensor)

tests/pipelines/animatediff/test_animatediff_sdxl.py:28

↓ 5 callersFunctionupdate_unet_attention_ldm_to_diffusers

(ldm_keys, new_checkpoint, checkpoint, mapping)

src/diffusers/loaders/single_file_utils.py:724

↓ 5 callersFunctionupdate_unet_resnet_ldm_to_diffusers

(ldm_keys, new_checkpoint, checkpoint, mapping=None)

src/diffusers/loaders/single_file_utils.py:709

↓ 5 callersFunctionzero_module

(module)

src/diffusers/models/controlnet.py:869

↓ 4 callersMethod__init__

( self, in_channels: int, out_channels: int, prev_output_channel: int,

src/diffusers/pipelines/audioldm2/modeling_audioldm2.py:1357

↓ 4 callersMethod__init__

(self, c, c_skip=0, kernel_size=3, dropout=0.0)

src/diffusers/pipelines/wuerstchen/modeling_wuerstchen_common.py:29

↓ 4 callersMethod__init__

( self, dim: int, dim_out: Optional[int] = None, mult: int = 4, dropou

src/diffusers/models/attention.py:622

↓ 4 callersMethod__init__

( self, in_features: int, out_features: int, rank: int = 4, network_al

src/diffusers/models/lora.py:196

↓ 4 callersMethod__init__

( self, channels, num_res_blocks: int, hidden_size, hidden_dropout,

src/diffusers/models/unets/uvit_2d.py:308

↓ 4 callersMethod_apply_free_init

( self, latents: torch.Tensor, free_init_iteration: int, num_inference_steps:

src/diffusers/pipelines/free_init_utils.py:138

↓ 4 callersMethod_combine

r""" Combines a latent iamge img_vae of shape (B, C, H, W) and a CLIP-embedded image img_clip of shape (B, 1, clip_img_dim) into a sin

src/diffusers/pipelines/unidiffuser/pipeline_unidiffuser.py:790

↓ 4 callersMethod_get_init_keys

(input_class)

src/diffusers/configuration_utils.py:457

↓ 4 callersMethod_get_signature_keys

(cls, obj)

src/diffusers/models/modeling_utils.py:967

↓ 4 callersFunctionadd_noise_common

( state: CommonSchedulerState, original_samples: jnp.ndarray, noise: jnp.ndarray, timesteps: jnp.ndarray )

src/diffusers/schedulers/scheduling_utils_flax.py:282

↓ 4 callersMethodcheck_device_map_is_respected

(self, model, device_map)

tests/models/test_modeling_common.py:216

↓ 4 callersMethodcheck_latents_shape

(self, latents_name, latents, expected_shape)

src/diffusers/pipelines/unidiffuser/pipeline_unidiffuser.py:951

↓ 4 callersMethodcheck_over_configs

(self, time_step=0, **config)

tests/schedulers/test_scheduler_flax.py:646

↓ 4 callersFunctionconvert_state_dict

r""" Simply iterates over the state dict and replaces the patterns in `mapping` with the corresponding values. Args: state_dict (`dic

src/diffusers/utils/state_dict_utils.py:141

↓ 4 callersFunctioncosine_distance

(image_embeds, text_embeds)

src/diffusers/pipelines/stable_diffusion_safe/safety_checker.py:25

↓ 4 callersFunctioncosine_distance

(image_embeds, text_embeds)

src/diffusers/pipelines/stable_diffusion/safety_checker.py:26

↓ 4 callersFunctioncreate_dummy_object

Create the code for the dummy object corresponding to `name`.

utils/check_dummies.py:105

↓ 4 callersMethodcrop

(self, im, new_width, new_height)

src/diffusers/pipelines/stable_diffusion_gligen/pipeline_stable_diffusion_gligen.py:514

↓ 4 callersMethodenable_sequential_cpu_offload

r""" Offloads all models to CPU using accelerate, significantly reducing memory usage. When called, unet, text_encoder, vae and safety

src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_combined.py:182

↓ 4 callersMethodenable_sequential_cpu_offload

r""" Offloads all models (`unet`, `text_encoder`, `vae`, and `safety checker` state dicts) to CPU using 🤗 Accelerate, significantly re

src/diffusers/pipelines/kandinsky/pipeline_kandinsky_combined.py:196

↓ 4 callersMethodenable_vae_tiling

r""" Enable tiled VAE decoding. When this option is enabled, the VAE will split the input tensor into tiles to compute decoding and en

src/diffusers/pipelines/pipeline_utils.py:1902

↓ 4 callersMethodencode_prompt

r""" Encodes the prompt into text encoder hidden states. Args: prompt (`str` or `List[str]`, *optional*):

src/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl.py:277

↓ 4 callersMethodencode_prompt

r""" Encodes the prompt into text encoder hidden states. Args: prompt (`str` or `List[str]`, *optional*):

src/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl_img2img.py:298

↓ 4 callersMethodevent_type_range

Return [min_id, max_id] for an event type.

src/diffusers/pipelines/deprecated/spectrogram_diffusion/midi_utils.py:200

↓ 4 callersMethodextract_init_dict

(cls, config_dict, **kwargs)

src/diffusers/configuration_utils.py:461

↓ 4 callersFunctionfetch_diffusers_config

(checkpoint)

src/diffusers/loaders/single_file_utils.py:465

↓ 4 callersFunctionfind_backend

Find one (or multiple) backend in a code line of the init.

utils/check_dummies.py:58

↓ 4 callersFunctionfind_backend

Find one (or multiple) backend in a code line of the init.

utils/check_inits.py:50

↓ 4 callersMethodfull_loop

(self, **config)

tests/schedulers/test_scheduler_pndm.py:93

↓ 4 callersMethodfull_loop

(self, scheduler=None, **config)

tests/schedulers/test_scheduler_edm_dpmsolver_multistep.py:99

↓ 4 callersMethodfull_loop

(self, **config)

tests/schedulers/test_scheduler_ddim.py:24

↓ 4 callersMethodfull_loop

(self, **config)

tests/schedulers/test_scheduler_ddim_parallel.py:38

↓ 4 callersMethodfull_loop

(self, **config)

tests/schedulers/test_scheduler_euler.py:52

↓ 4 callersMethodfull_loop

(self, **config)

tests/schedulers/test_scheduler_ddim_inverse.py:24

↓ 4 callersMethodgelu

(self, gate: torch.Tensor)

src/diffusers/models/activations.py:81

↓ 4 callersMethodgenerate_language_model

Generates a sequence of hidden-states from the language model, conditioned on the embedding inputs. Parameters: inputs_

src/diffusers/pipelines/audioldm2/pipeline_audioldm2.py:265

↓ 4 callersFunctionget_asym_autoencoder_kl_config

(block_out_channels=None, norm_num_groups=None)

tests/models/autoencoders/test_models_vae.py:70

↓ 4 callersFunctionget_autoencoder_kl_config

(block_out_channels=None, norm_num_groups=None)

tests/models/autoencoders/test_models_vae.py:55

↓ 4 callersFunctionget_autoencoder_tiny_config

(block_out_channels=None)

tests/models/autoencoders/test_models_vae.py:91

↓ 4 callersFunctionget_consistency_vae_config

(block_out_channels=None, norm_num_groups=None)

tests/models/autoencoders/test_models_vae.py:104

↓ 4 callersMethodget_dummy_components

(self, adapter_type="full_adapter_xl", time_cond_proj_dim=None)

tests/pipelines/stable_diffusion_xl/test_stable_diffusion_xl_adapter.py:60

↓ 4 callersMethodget_dummy_components

(self)

tests/pipelines/unclip/test_unclip_image_variation.py:190

↓ 4 callersMethodget_dummy_components

(self)

tests/pipelines/hunyuan_dit/test_hunyuan_dit.py:54

↓ 4 callersMethodget_dummy_components

(self, time_cond_proj_dim=None)

tests/pipelines/stable_diffusion_adapter/test_stable_diffusion_adapter.py:389

↓ 4 callersMethodget_dummy_components

(self)

tests/pipelines/stable_diffusion_2/test_stable_diffusion_diffedit.py:63

↓ 4 callersMethodget_dummy_components

(self, class_cond=False)

tests/pipelines/consistency_models/test_consistency_models.py:63

↓ 4 callersMethodget_dummy_components

(self)

tests/pipelines/latent_consistency_models/test_latent_consistency_models.py:38

↓ 4 callersMethodget_dummy_components

(self)

tests/pipelines/latent_consistency_models/test_latent_consistency_models_img2img.py:46

↓ 4 callersMethodget_dummy_components

(self)

tests/pipelines/kandinsky2_2/test_kandinsky_combined.py:184

↓ 4 callersMethodget_dummy_components

(self)

tests/pipelines/kandinsky2_2/test_kandinsky_combined.py:305

↓ 4 callersMethodget_dummy_components

(self)

tests/pipelines/stable_cascade/test_stable_cascade_decoder.py:135

↓ 4 callersMethodget_dummy_components

(self)

tests/pipelines/kandinsky/test_kandinsky_inpaint.py:223

↓ 4 callersMethodget_dummy_components

(self)

tests/pipelines/kandinsky/test_kandinsky.py:207

↓ 4 callersMethodget_dummy_components

(self)

tests/pipelines/kandinsky/test_kandinsky_img2img.py:229

↓ 4 callersMethodget_dummy_components

(self)

tests/pipelines/kandinsky/test_kandinsky_combined.py:163

↓ 4 callersMethodget_dummy_components

(self)

tests/pipelines/kandinsky/test_kandinsky_combined.py:272

↓ 4 callersMethodget_dummy_components

(self)

tests/pipelines/wuerstchen/test_wuerstchen_combined.py:129

↓ 4 callersMethodget_dummy_components

(self, time_cond_proj_dim=None)

tests/pipelines/controlnet_xs/test_controlnetxs.py:141

↓ 4 callersMethodget_dummy_components_with_full_downscaling

Get dummy components with x8 VAE downscaling and 4 UNet down blocks. These dummy components are intended to fully-exercise the T2I-Adapter

tests/pipelines/stable_diffusion_adapter/test_stable_diffusion_adapter.py:144

↓ 4 callersMethodget_dummy_controlnet_from_unet

For some tests we also need the underlying ControlNetXS-Adapter. For these, we'll build the UNetControlNetXSModel from the UNet and ControlNetXS-Adapt

tests/models/unets/test_models_unet_controlnetxs.py:102

↓ 4 callersMethodget_dummy_inputs

(self, device, height=64, width=64, seed=0)

tests/pipelines/stable_diffusion_adapter/test_stable_diffusion_adapter.py:395

↓ 4 callersMethodget_dummy_inputs

(self, device, seed=0)

tests/pipelines/unidiffuser/test_unidiffuser.py:147

↓ 4 callersMethodget_dummy_inputs

(self, device, seed=0)

tests/pipelines/consistency_models/test_consistency_models.py:83

↓ 4 callersMethodget_dummy_inputs

(self, device, seed=0)

tests/pipelines/latent_consistency_models/test_latent_consistency_models.py:97

↓ 4 callersMethodget_dummy_inputs

(self, device, seed=0)

tests/pipelines/latent_consistency_models/test_latent_consistency_models_img2img.py:105

↓ 4 callersMethodget_dummy_inputs

(self, device, seed=0)

tests/pipelines/controlnet/test_controlnet_img2img.py:292

↓ 4 callersMethodget_dummy_inputs

(self, device, seed=0)

tests/pipelines/controlnet/test_controlnet_sdxl.py:606

↓ 4 callersMethodget_dummy_inputs

(self, device, seed=0)

tests/pipelines/controlnet/test_controlnet_inpaint.py:347

↓ 4 callersMethodget_dummy_inputs

(self, device, seed=0)

tests/pipelines/controlnet/test_controlnet.py:605

↓ 4 callersMethodget_dummy_inputs

(self, device, seed=0)

tests/pipelines/deepfloyd_if/test_if.py:43

↓ 4 callersMethodget_dummy_inputs

(self, device, seed=0)

tests/pipelines/stable_cascade/test_stable_cascade_prior.py:158

↓ 4 callersMethodget_dummy_inputs

(self, device, seed=0)

tests/pipelines/stable_diffusion_ldm3d/test_stable_diffusion_ldm3d.py:100

↓ 4 callersFunctionget_indent

Returns the indent in given line (as string).

utils/custom_init_isort.py:59

↓ 4 callersMethodget_inputs

(self, device, generator_device="cpu", dtype=torch.float32, seed=0)

tests/single_file/test_stable_diffusion_single_file.py:44

↓ 4 callersMethodget_inputs

(self, device="cpu", dtype=torch.float32, seed=0)

tests/pipelines/stable_diffusion_2/test_stable_diffusion_depth.py:534

↓ 4 callersMethodget_inputs

(self, device, seed=0, generate_latents=False)

tests/pipelines/unidiffuser/test_unidiffuser.py:593

↓ 4 callersMethodget_inputs

(self, seed=0, get_fixed_latents=False, device="cpu", dtype=torch.float32, shape=(1, 3, 64, 64))

tests/pipelines/consistency_models/test_consistency_models.py:183

↓ 4 callersMethodget_inputs

(self, seed=0)

tests/pipelines/stable_diffusion_panorama/test_stable_diffusion_panorama.py:275

↓ 4 callersMethodget_inputs

(self, device, generator_device="cpu", dtype=torch.float32, seed=0)

tests/pipelines/stable_diffusion/test_stable_diffusion_img2img.py:671

↓ 4 callersMethodget_inputs

(self, device, generator_device="cpu", dtype=torch.float32, seed=0)

tests/pipelines/stable_diffusion/test_stable_diffusion_inpaint.py:1024

↓ 4 callersFunctionget_module_dependencies

Refines the result of `extract_imports` to remove subfolders and get a proper list of module filenames: if a file as an import `from utils im

utils/tests_fetcher.py:560

↓ 4 callersMethodget_scheduler_config

(self, **kwargs)

tests/schedulers/test_scheduler_dpm_sde.py:14

↓ 4 callersMethodget_scheduler_config

(self, **kwargs)

tests/schedulers/test_scheduler_kdpm2_discrete.py:13

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