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Functions7,383 in github.com/LetterLiGo/SafeGen_CCS2024

⨍ Functions 7,383◇ Types & classes 1,211↳ Endpoints 4

↓ 2 callersMethod_generate

( self, prompt_ids: jnp.array, params: Union[Dict, FrozenDict], prng_seed: jax

src/diffusers/pipelines/stable_diffusion/pipeline_flax_stable_diffusion.py:214

↓ 2 callersMethod_get_add_time_ids

( self, original_size, crops_coords_top_left, target_size, dtype, text_encoder_projection_dim=None

src/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl.py:655

↓ 2 callersMethod_get_add_time_ids

( self, original_size, crops_coords_top_left, target_size, dtype, text_encoder_projection_dim=None

src/diffusers/pipelines/controlnet/pipeline_controlnet_sd_xl.py:783

↓ 2 callersMethod_get_compatibles

(cls)

src/diffusers/schedulers/scheduling_utils.py:177

↓ 2 callersMethod_get_has_nsfw_concepts

(self, features, params)

src/diffusers/pipelines/controlnet/pipeline_flax_controlnet.py:205

↓ 2 callersMethod_get_has_nsfw_concepts

(self, features, params)

src/diffusers/pipelines/stable_diffusion/pipeline_flax_stable_diffusion_inpaint.py:233

↓ 2 callersMethod_get_has_nsfw_concepts

(self, features, params)

src/diffusers/pipelines/stable_diffusion/pipeline_flax_stable_diffusion_img2img.py:191

↓ 2 callersMethod_get_has_nsfw_concepts

(self, features, params)

src/diffusers/pipelines/stable_diffusion/pipeline_flax_stable_diffusion.py:180

↓ 2 callersFunction_get_library_name

()

src/diffusers/utils/logging.py:69

↓ 2 callersMethod_get_module

(self, module_name: str)

src/diffusers/utils/import_utils.py:708

↓ 2 callersMethod_get_prev_sample

(self, sample, timestep, prev_timestep, model_output)

src/diffusers/schedulers/scheduling_pndm.py:407

↓ 2 callersMethod_get_prev_sample

(self, state: PNDMSchedulerState, sample, timestep, prev_timestep, model_output)

src/diffusers/schedulers/scheduling_pndm_flax.py:456

↓ 2 callersMethod_get_signature_keys

(cls, obj)

src/diffusers/pipelines/pipeline_flax_utils.py:542

↓ 2 callersMethod_init_step_index

(self, timestep)

src/diffusers/schedulers/scheduling_lms_discrete.py:286

↓ 2 callersMethod_init_step_index

(self, timestep)

src/diffusers/schedulers/scheduling_dpmsolver_sde.py:222

↓ 2 callersMethod_init_step_index

(self, timestep)

src/diffusers/schedulers/scheduling_k_dpm_2_ancestral_discrete.py:354

↓ 2 callersMethod_init_step_index

(self, timestep)

src/diffusers/schedulers/scheduling_consistency_models.py:282

↓ 2 callersMethod_init_step_index

(self, timestep)

src/diffusers/schedulers/scheduling_euler_ancestral_discrete.py:254

↓ 2 callersMethod_init_step_index

(self, timestep)

src/diffusers/schedulers/scheduling_k_dpm_2_discrete.py:293

↓ 2 callersMethod_init_step_index

(self, timestep)

src/diffusers/schedulers/scheduling_euler_discrete.py:343

↓ 2 callersMethod_init_step_index

(self, timestep)

src/diffusers/schedulers/scheduling_heun_discrete.py:333

↓ 2 callersMethod_optionally_disable_offloading

Optionally removes offloading in case the pipeline has been already sequentially offloaded to CPU. Args: _pipeline (`Dif

src/diffusers/loaders/lora.py:333

↓ 2 callersFunction_preprocess_adapter_image

(image, height, width)

src/diffusers/pipelines/t2i_adapter/pipeline_stable_diffusion_xl_adapter.py:84

↓ 2 callersFunction_preprocess_adapter_image

(image, height, width)

src/diffusers/pipelines/t2i_adapter/pipeline_stable_diffusion_adapter.py:94

↓ 2 callersMethod_remove_text_encoder_monkey_patch

(self)

src/diffusers/loaders/lora.py:662

↓ 2 callersFunction_sanitize_name

(x: str)

src/diffusers/pipelines/shap_e/renderer.py:81

↓ 2 callersFunction_should_continue

(line, indent)

utils/check_copies.py:29

↓ 2 callersMethod_sigma_to_t

(self, sigma, log_sigmas)

src/diffusers/schedulers/scheduling_dpmsolver_sde.py:372

↓ 2 callersMethod_sigma_to_t

(self, sigma, log_sigmas)

src/diffusers/schedulers/scheduling_k_dpm_2_ancestral_discrete.py:300

↓ 2 callersMethod_sigma_to_t

(self, sigma, log_sigmas)

src/diffusers/schedulers/scheduling_k_dpm_2_discrete.py:311

↓ 2 callersMethod_sigma_to_t

(self, sigma, log_sigmas)

src/diffusers/schedulers/scheduling_dpmsolver_multistep.py:329

↓ 2 callersMethod_swap_unet_attention_blocks

Swap the `Transformer2DModel` blocks between the image and text UNets

src/diffusers/pipelines/versatile_diffusion/pipeline_versatile_diffusion_text_to_image.py:91

↓ 2 callersMethod_text_preprocessing

(self, text, clean_caption=False)

src/diffusers/pipelines/pixart_alpha/pipeline_pixart_alpha.py:477

↓ 2 callersMethod_text_preprocessing

(self, text, clean_caption=False)

src/diffusers/pipelines/deepfloyd_if/pipeline_if_img2img_superresolution.py:210

↓ 2 callersMethod_text_preprocessing

(self, text, clean_caption=False)

src/diffusers/pipelines/deepfloyd_if/pipeline_if.py:417

↓ 2 callersMethod_text_preprocessing

(self, text, clean_caption=False)

src/diffusers/pipelines/deepfloyd_if/pipeline_if_superresolution.py:168

↓ 2 callersMethod_text_preprocessing

(self, text, clean_caption=False)

src/diffusers/pipelines/deepfloyd_if/pipeline_if_img2img.py:461

↓ 2 callersMethod_text_preprocessing

(self, text, clean_caption=False)

src/diffusers/pipelines/deepfloyd_if/pipeline_if_inpainting_superresolution.py:212

↓ 2 callersMethod_text_preprocessing

(self, text, clean_caption=False)

src/diffusers/pipelines/deepfloyd_if/pipeline_if_inpainting.py:501

↓ 2 callersMethod_threshold_sample

"Dynamic thresholding: At each sampling step we set s to a certain percentile absolute pixel value in xt0 (the prediction of x_0 at t

src/diffusers/schedulers/scheduling_ddim_parallel.py:288

↓ 2 callersMethod_threshold_sample

"Dynamic thresholding: At each sampling step we set s to a certain percentile absolute pixel value in xt0 (the prediction of x_0 at t

src/diffusers/schedulers/scheduling_dpmsolver_multistep_inverse.py:294

↓ 2 callersMethod_threshold_sample

"Dynamic thresholding: At each sampling step we set s to a certain percentile absolute pixel value in xt0 (the prediction of x_0 at t

src/diffusers/schedulers/scheduling_dpmsolver_multistep.py:295

↓ 2 callersMethod_threshold_sample

"Dynamic thresholding: At each sampling step we set s to a certain percentile absolute pixel value in xt0 (the prediction of x_0 at t

src/diffusers/schedulers/scheduling_ddpm_parallel.py:334

↓ 2 callersMethod_tiled_decode

r"""Encode a batch of images using a tiled encoder. When this option is enabled, the VAE will split the input tensor into tiles to compute en

src/diffusers/models/autoencoder_tiny.py:243

↓ 2 callersMethod_tiled_encode

r"""Encode a batch of images using a tiled encoder. When this option is enabled, the VAE will split the input tensor into tiles to compute en

src/diffusers/models/autoencoder_tiny.py:195

↓ 2 callersMethod_to_3d

(self, hidden_states: torch.FloatTensor, height: int, weight: int)

src/diffusers/models/unet_2d_blocks.py:3440

↓ 2 callersMethod_to_4d

(self, hidden_states: torch.FloatTensor, height: int, weight: int)

src/diffusers/models/unet_2d_blocks.py:3443

↓ 2 callersMethod_update_latent

Update the latent according to the computed loss.

src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_attend_and_excite.py:658

↓ 2 callersMethod_upsample_2d

Fused `upsample_2d()` followed by `Conv2d()`. Padding is performed only once at the beginning, not between the operations. The fused op is co

src/diffusers/models/resnet.py:313

↓ 2 callersFunctionadd_special_tokens

(hidden_states, attention_mask, sos_token, eos_token)

src/diffusers/pipelines/audioldm2/modeling_audioldm2.py:47

↓ 2 callersFunctionalpha_bar_fn

(t)

src/diffusers/schedulers/scheduling_pndm.py:53

↓ 2 callersFunctionalpha_bar_fn

(t)

src/diffusers/schedulers/scheduling_lms_discrete.py:73

↓ 2 callersFunctionalpha_bar_fn

(t)

src/diffusers/schedulers/scheduling_ddpm.py:73

↓ 2 callersFunctionalpha_bar_fn

(t)

src/diffusers/schedulers/scheduling_dpmsolver_sde.py:105

↓ 2 callersFunctionalpha_bar_fn

(t)

src/diffusers/schedulers/scheduling_repaint.py:72

↓ 2 callersFunctionalpha_bar_fn

(t)

src/diffusers/schedulers/scheduling_k_dpm_2_ancestral_discrete.py:53

↓ 2 callersFunctionalpha_bar_fn

(t)

src/diffusers/schedulers/scheduling_ddim_parallel.py:76

↓ 2 callersFunctionalpha_bar_fn

(t)

src/diffusers/schedulers/scheduling_unclip.py:73

↓ 2 callersFunctionalpha_bar_fn

(t)

src/diffusers/schedulers/scheduling_lcm.py:78

↓ 2 callersFunctionalpha_bar_fn

(t)

src/diffusers/schedulers/scheduling_euler_ancestral_discrete.py:76

↓ 2 callersFunctionalpha_bar_fn

(t)

src/diffusers/schedulers/scheduling_deis_multistep.py:55

↓ 2 callersFunctionalpha_bar_fn

(t)

src/diffusers/schedulers/scheduling_ddpm_wuerstchen.py:69

↓ 2 callersFunctionalpha_bar_fn

(t)

src/diffusers/schedulers/scheduling_k_dpm_2_discrete.py:52

↓ 2 callersFunctionalpha_bar_fn

(t)

src/diffusers/schedulers/scheduling_consistency_decoder.py:39

↓ 2 callersFunctionalpha_bar_fn

(t)

src/diffusers/schedulers/scheduling_dpmsolver_multistep_inverse.py:55

↓ 2 callersFunctionalpha_bar_fn

(t)

src/diffusers/schedulers/scheduling_euler_discrete.py:76

↓ 2 callersFunctionalpha_bar_fn

(t)

src/diffusers/schedulers/scheduling_dpmsolver_multistep.py:55

↓ 2 callersFunctionalpha_bar_fn

(t)

src/diffusers/schedulers/scheduling_unipc_multistep.py:55

↓ 2 callersFunctionalpha_bar_fn

(t)

src/diffusers/schedulers/scheduling_ddim.py:76

↓ 2 callersFunctionalpha_bar_fn

(t)

src/diffusers/schedulers/scheduling_ddpm_parallel.py:75

↓ 2 callersFunctionalpha_bar_fn

(t)

src/diffusers/schedulers/scheduling_ddim_inverse.py:74

↓ 2 callersFunctionalpha_bar_fn

(t)

src/diffusers/schedulers/scheduling_dpmsolver_singlestep.py:57

↓ 2 callersFunctionalpha_bar_fn

(t)

src/diffusers/schedulers/scheduling_heun_discrete.py:52

↓ 2 callersMethodapply_condition

(self, size: torch.Tensor, batch_size: int, embedder: nn.Module)

src/diffusers/models/embeddings.py:741

↓ 2 callersFunctionattention_from_original_checkpoint

(model, diffuser_attention_prefix, original_attention_prefix)

scripts/convert_blipdiffusion_to_diffusers.py:86

↓ 2 callersFunctionbetas_for_alpha_bar

Create a beta schedule that discretizes the given alpha_t_bar function, which defines the cumulative product of (1-beta) over time from t = [

src/diffusers/schedulers/scheduling_heun_discrete.py:27

↓ 2 callersMethodblend_h

(self, a: torch.Tensor, b: torch.Tensor, blend_extent: int)

src/diffusers/models/autoencoder_kl.py:316

↓ 2 callersMethodblend_v

(self, a: torch.Tensor, b: torch.Tensor, blend_extent: int)

src/diffusers/models/autoencoder_kl.py:310

↓ 2 callersFunctionblock_to_diffusers_checkpoint

(block, checkpoint, block_idx, block_type)

scripts/convert_k_upscaler_to_diffusers.py:115

↓ 2 callersMethodcheck_image

(self, image, prompt, prompt_embeds)

src/diffusers/pipelines/controlnet/pipeline_controlnet_sd_xl.py:696

↓ 2 callersMethodcheck_image

(self, image, prompt, prompt_embeds)

src/diffusers/pipelines/controlnet/pipeline_controlnet_inpaint_sd_xl.py:520

↓ 2 callersMethodcheck_image

(self, image, prompt, prompt_embeds)

src/diffusers/pipelines/controlnet/pipeline_controlnet_inpaint.py:814

↓ 2 callersMethodcheck_image

(self, image, prompt, prompt_embeds)

src/diffusers/pipelines/controlnet/pipeline_controlnet_img2img.py:657

↓ 2 callersMethodcheck_image

(self, image, prompt, prompt_embeds)

src/diffusers/pipelines/controlnet/pipeline_controlnet_sd_xl_img2img.py:720

↓ 2 callersMethodcheck_image

(self, image, prompt, prompt_embeds)

src/diffusers/pipelines/controlnet/pipeline_controlnet.py:686

↓ 2 callersFunctioncheck_min_version

(min_version)

src/diffusers/utils/__init__.py:112

↓ 2 callersMethodcheck_over_configs

(self, time_step=0, **config)

tests/schedulers/test_scheduler_score_sde_ve.py:59

↓ 2 callersMethodcheck_over_forward

(self, time_step=0, **forward_kwargs)

tests/schedulers/test_scheduler_pndm.py:59

↓ 2 callersMethodcheck_over_forward

(self, time_step=0, **forward_kwargs)

tests/schedulers/test_scheduler_flax.py:732

↓ 2 callersFunctionclean_code

Remove docstrings, empty line or comments from some code (used to detect if a diff is real or only concern comments or docstings). Args:

utils/tests_fetcher.py:106

↓ 2 callersMethodcleanup

(self, return_onnx=False)

scripts/convert_stable_diffusion_controlnet_to_onnx.py:37

↓ 2 callersFunctioncoerce_attn_resolutions

(attn_resolutions)

scripts/convert_vq_diffusion_to_diffusers.py:152

↓ 2 callersFunctioncoerce_resolution

(resolution)

scripts/convert_vq_diffusion_to_diffusers.py:163

↓ 2 callersMethodcomplete_mask

Based on the input mask corresponding value `0 or 1` for each phrases and image, mask the features corresponding to phrases and image

src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_gligen_text_image.py:585

↓ 2 callersFunctioncompute_snr

Computes SNR as per https://github.com/TiankaiHang/Min-SNR-Diffusion-Training/blob/521b624bd70c67cee4bdf49225915f5945a872e3/guided_diffusion/

src/diffusers/training_utils.py:30

↓ 2 callersFunctionconv_attn_to_linear

(checkpoint)

scripts/convert_original_audioldm2_to_diffusers.py:201

↓ 2 callersFunctionconv_attn_to_linear

(checkpoint)

scripts/convert_svd_to_diffusers.py:544

↓ 2 callersFunctionconv_attn_to_linear

(checkpoint)

scripts/convert_versatile_diffusion_to_diffusers.py:247

↓ 2 callersFunctionconv_attn_to_linear

(checkpoint)

scripts/convert_original_audioldm_to_diffusers.py:202

↓ 2 callersFunctionconv_attn_to_linear

(checkpoint)

scripts/convert_zero123_to_diffusers.py:663

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