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Functions9,976 in github.com/TencentARC/BrushNet

⨍ Functions 9,976◇ Types & classes 1,590↳ Endpoints 3

↓ 4 callersMethodfull_loop

(self, **config)

tests/schedulers/test_scheduler_ddim_parallel.py:38

↓ 4 callersMethodfull_loop

(self, **config)

tests/schedulers/test_scheduler_ddim_inverse.py:24

↓ 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:229

↓ 4 callersFunctiongetOnnxPath

(model_name, onnx_dir, opt=True)

examples/community/stable_diffusion_tensorrt_inpaint.py:309

↓ 4 callersFunctiongetOnnxPath

(model_name, onnx_dir, opt=True)

examples/community/stable_diffusion_tensorrt_txt2img.py:294

↓ 4 callersFunctiongetOnnxPath

(model_name, onnx_dir, opt=True)

examples/community/stable_diffusion_tensorrt_img2img.py:309

↓ 4 callersMethodget_crop_region

Finds a rectangular region that contains all masked ares in an image, and expands region to match the aspect ratio of the original image;

src/diffusers/image_processor.py:174

↓ 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:64

↓ 4 callersMethodget_dummy_components

(self)

tests/pipelines/unclip/test_unclip_image_variation.py:190

↓ 4 callersMethodget_dummy_components

(self, time_cond_proj_dim=None)

tests/pipelines/stable_diffusion_adapter/test_stable_diffusion_adapter.py:387

↓ 4 callersMethodget_dummy_components

(self)

tests/pipelines/stable_diffusion_2/test_stable_diffusion_diffedit.py:61

↓ 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, time_cond_proj_dim=None)

tests/pipelines/stable_diffusion/test_stable_diffusion_inpaint.py:398

↓ 4 callersMethodget_dummy_components

(self)

tests/pipelines/stable_cascade/test_stable_cascade_combined.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_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_inputs

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

tests/pipelines/stable_diffusion_adapter/test_stable_diffusion_adapter.py:393

↓ 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:287

↓ 4 callersMethodget_dummy_inputs

(self, device, seed=0)

tests/pipelines/controlnet/test_controlnet_sdxl.py:598

↓ 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:584

↓ 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:157

↓ 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:58

↓ 4 callersMethodget_inputs

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

tests/pipelines/stable_diffusion_2/test_stable_diffusion_depth.py:525

↓ 4 callersMethodget_inputs

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

tests/pipelines/unidiffuser/test_unidiffuser.py:582

↓ 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:178

↓ 4 callersMethodget_inputs

(self, seed=0)

tests/pipelines/stable_diffusion_panorama/test_stable_diffusion_panorama.py:259

↓ 4 callersMethodget_inputs

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

tests/pipelines/stable_diffusion/test_stable_diffusion_img2img.py:656

↓ 4 callersMethodget_inputs

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

tests/pipelines/stable_diffusion/test_stable_diffusion_inpaint.py:1058

↓ 4 callersMethodget_list_adapters

Gets the current list of all available adapters in the pipeline.

src/diffusers/loaders/lora.py:1132

↓ 4 callersMethodget_minmax_dims

(self, batch_size, image_height, image_width, static_batch, static_shape)

examples/community/stable_diffusion_tensorrt_inpaint.py:282

↓ 4 callersMethodget_minmax_dims

(self, batch_size, image_height, image_width, static_batch, static_shape)

examples/community/stable_diffusion_tensorrt_img2img.py:282

↓ 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 callersFunctionget_params_to_save

(params)

examples/research_projects/multi_token_textual_inversion/textual_inversion_flax.py:348

↓ 4 callersFunctionget_predicted_original_sample

(model_output, timesteps, sample, prediction_type, alphas, sigmas)

examples/consistency_distillation/train_lcm_distill_lora_sdxl.py:209

↓ 4 callersFunctionget_predicted_original_sample

(model_output, timesteps, sample, prediction_type, alphas, sigmas)

examples/consistency_distillation/train_lcm_distill_lora_sd_wds.py:367

↓ 4 callersFunctionget_predicted_original_sample

(model_output, timesteps, sample, prediction_type, alphas, sigmas)

examples/consistency_distillation/train_lcm_distill_sdxl_wds.py:332

↓ 4 callersFunctionget_predicted_original_sample

(model_output, timesteps, sample, prediction_type, alphas, sigmas)

examples/consistency_distillation/train_lcm_distill_lora_sdxl_wds.py:354

↓ 4 callersFunctionget_predicted_original_sample

(model_output, timesteps, sample, prediction_type, alphas, sigmas)

examples/consistency_distillation/train_lcm_distill_sd_wds.py:344

↓ 4 callersFunctionget_prompts_tokens_with_weights

Get prompt token ids and weights, this function works for both prompt and negative prompt Args: pipe (CLIPTokenizer) A C

examples/community/lpw_stable_diffusion_xl.py:153

↓ 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

↓ 4 callersMethodget_scheduler_config

(self, **kwargs)

tests/schedulers/test_scheduler_unclip.py:12

↓ 4 callersMethodget_scheduler_config

(self, **kwargs)

tests/schedulers/test_scheduler_kdpm2_ancestral.py:13

↓ 4 callersMethodget_scheduler_config

(self, **kwargs)

tests/schedulers/test_scheduler_ddim.py:12

↓ 4 callersMethodget_scheduler_config

(self, **kwargs)

tests/schedulers/test_scheduler_score_sde_ve.py:47

↓ 4 callersMethodget_scheduler_config

(self, **kwargs)

tests/schedulers/test_scheduler_ipndm.py:14

↓ 4 callersMethodget_scheduler_config

(self, **kwargs)

tests/schedulers/test_scheduler_euler_ancestral.py:13

↓ 4 callersMethodget_timesteps

(self, num_inference_steps, strength, device)

examples/community/rerender_a_video.py:521

↓ 4 callersFunctiongroup_tokens_and_weights

Produce tokens and weights in groups and pad the missing tokens Args: token_ids (list) The token ids from tokenizer

examples/community/lpw_stable_diffusion_xl.py:203

↓ 4 callersMethodinvert

( self, image_path: str, prompt: str, num_inner_steps=10, early_stop_epsilon=1e-6, num_inference_steps

examples/community/pipeline_null_text_inversion.py:178

↓ 4 callersFunctionis_scipy_available

()

src/diffusers/utils/import_utils.py:335

↓ 4 callersFunctionload_checkpoint_to_model

(checkpoint, model, strict=False)

scripts/convert_kandinsky_to_diffusers.py:1320

↓ 4 callersMethodload_module

(name, value)

src/diffusers/pipelines/pipeline_utils.py:770

↓ 4 callersMethodmode

(self)

src/diffusers/models/autoencoders/vae.py:821

↓ 4 callersFunctionparse_list

(value)

scripts/convert_if.py:703

↓ 4 callersMethodprevious_timestep

(self, timestep)

src/diffusers/schedulers/scheduling_lcm.py:649

↓ 4 callersFunctionrearrange_3

(tensor, f)

src/diffusers/pipelines/text_to_video_synthesis/pipeline_text_to_video_zero_sdxl.py:64

↓ 4 callersFunctionrearrange_3

(tensor, f)

src/diffusers/pipelines/text_to_video_synthesis/pipeline_text_to_video_zero.py:38

↓ 4 callersFunctionrearrange_4

(tensor)

src/diffusers/pipelines/text_to_video_synthesis/pipeline_text_to_video_zero_sdxl.py:70

↓ 4 callersFunctionrearrange_4

(tensor)

src/diffusers/pipelines/text_to_video_synthesis/pipeline_text_to_video_zero.py:43

↓ 4 callersFunctionrenew_temp_conv_paths

Updates paths inside resnets to the new naming scheme (local renaming)

scripts/convert_i2vgen_to_diffusers.py:101

↓ 4 callersFunctionrenew_temp_conv_paths

Updates paths inside resnets to the new naming scheme (local renaming)

scripts/convert_ms_text_to_video_to_diffusers.py:106

↓ 4 callersFunctionrenew_vae_resnet_paths

Updates paths inside resnets to the new naming scheme (local renaming)

scripts/convert_original_audioldm2_to_diffusers.py:88

↓ 4 callersFunctionrenew_vae_resnet_paths

Updates paths inside resnets to the new naming scheme (local renaming)

scripts/convert_svd_to_diffusers.py:556

↓ 4 callersFunctionrenew_vae_resnet_paths

Updates paths inside resnets to the new naming scheme (local renaming)

scripts/convert_versatile_diffusion_to_diffusers.py:128

↓ 4 callersFunctionrenew_vae_resnet_paths

Updates paths inside resnets to the new naming scheme (local renaming)

scripts/convert_original_audioldm_to_diffusers.py:79

↓ 4 callersFunctionrenew_vae_resnet_paths

Updates paths inside resnets to the new naming scheme (local renaming)

scripts/convert_zero123_to_diffusers.py:623

↓ 4 callersFunctionrenew_vae_resnet_paths

Updates paths inside resnets to the new naming scheme (local renaming)

scripts/convert_original_musicldm_to_diffusers.py:80

↓ 4 callersFunctionrenew_vae_resnet_paths

Updates paths inside resnets to the new naming scheme (local renaming)

scripts/convert_unidiffuser_to_diffusers.py:48

↓ 4 callersFunctionrenew_vae_resnet_paths

Updates paths inside resnets to the new naming scheme (local renaming)

examples/research_projects/promptdiffusion/convert_original_promptdiffusion_to_diffusers.py:103

↓ 4 callersFunctionresnet_to_diffusers_checkpoint

(checkpoint, *, diffusers_resnet_prefix, resnet_prefix)

scripts/convert_kandinsky_to_diffusers.py:750

↓ 4 callersFunctionresnet_to_diffusers_checkpoint

(checkpoint, *, diffusers_resnet_prefix, resnet_prefix)

scripts/convert_kakao_brain_unclip_to_diffusers.py:799

↓ 4 callersFunctionretrieve_latents

( encoder_output: torch.Tensor, generator: Optional[torch.Generator] = None, sample_mode: str = "sample" )

examples/community/pipeline_sdxl_style_aligned.py:377

↓ 4 callersFunctionretrieve_latents

( encoder_output: torch.Tensor, generator: Optional[torch.Generator] = None, sample_mode: str = "sample" )

examples/community/lpw_stable_diffusion_xl.py:489

↓ 4 callersFunctionrunEngine

(engine, feed_dict, stream)

examples/community/stable_diffusion_tensorrt_txt2img.py:396

↓ 4 callersMethodrun_safety_checker

(self, image, device, dtype)

examples/community/instaflow_one_step.py:374

↓ 4 callersMethodsample

(self, generator: Optional[torch.Generator] = None)

src/diffusers/models/autoencoders/vae.py:782

↓ 4 callersMethodsave_lora_weights

r""" Save the LoRA parameters corresponding to the UNet and text encoder. Arguments: save_directory (`str` or `os.PathLik

src/diffusers/loaders/lora.py:708

↓ 4 callersFunctionset_adapter_layers

(model, enabled=True)

src/diffusers/utils/peft_utils.py:193

↓ 4 callersMethodset_attn_processor

r""" Sets the attention processor to use to compute attention. Parameters: processor (`dict` of `AttentionProcessor` or o

src/diffusers/models/unets/unet_2d_condition.py:716

↓ 4 callersMethodset_joint_mode

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

src/diffusers/pipelines/unidiffuser/pipeline_unidiffuser.py:264

↓ 4 callersMethodset_progress_bar_config

(self, **kwargs)

src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_combined.py:197

↓ 4 callersMethodset_progress_bar_config

(self, **kwargs)

src/diffusers/pipelines/kandinsky/pipeline_kandinsky_combined.py:210

↓ 4 callersFunctionset_verbosity

Set the verbosity level for the 🤗 Diffusers' root logger. Args: verbosity (`int`): Logging level which can be one of:

src/diffusers/utils/logging.py:145

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