Functions — github.com/Monalissaa/DisenDiff

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Functions238 in github.com/Monalissaa/DisenDiff

⨍ Functions 238◇ Types & classes 39

(self, x: torch.Tensor)

clip/model.py:156

(self, x: torch.Tensor)

clip/model.py:163

(self, x: torch.Tensor)

clip/model.py:195

(self, x: torch.Tensor)

clip/model.py:208

(self, x: torch.Tensor)

clip/model.py:229

(self, attn, is_cross: bool, place_in_unet: str)

src/attention_controllers.py:183

Apply gaussian filter to input. Arguments: input (torch.Tensor): Input to apply gaussian filter on. Returns:

src/gaussian_smoothing.py:63

Apply average filter to input. Arguments: input (torch.Tensor): Input to apply average filter on. Returns:

src/gaussian_smoothing.py:111

( self, input_ids, timesteps, )

src/iterative_embedding.py:32

(self, text, t=None)

src/custom_modules.py:291

Functionget_all_metrics

(refs, cands, return_per_cap=False)

utils/clipscore/generation_eval_utils.py:17

Functionget_time_words_attention_alpha

(prompts, num_steps, cross_replace_steps: Union[float, Dict[str, Tuple[floa

src/ptp_utils.py:278

Methodget_token_indices

(tokens, token_id)

src/model.py:387

Load a CLIP model Parameters ---------- name : str A model name listed by `clip.available_models()`, or the path to a model check

clip/clip.py:73

Methodnew_forward

(self, x, context=None, training=False, mask=None)

src/model.py:231

Methodnum_uncond_att_layers

src/attention_controllers.py:142

Methodon_keyboard_interrupt

(self, trainer, pl_module)

Methodon_pretrain_routine_start

(self, trainer, pl_module)

Methodon_train_batch_end

(self, trainer, pl_module, outputs, batch, batch_idx, dataloader_idx)

Methodon_train_epoch_end

(self, trainer, pl_module, outputs)

Methodon_train_epoch_start

(self, trainer, pl_module)

(self, x_start, cond, t, origin_prompt=None, image_input=None, mask=None, noise=None, mask_background_image=No

src/model.py:347

Methodprocess_output

(output, absolute, smoothing=None, self_filter=False, twice_filter=False)

src/model.py:442

Methodprocess_token

(index, token, cross_maps, res, attn16, out)

src/model.py:406

src/attention_controllers.py:41

src/attention_controllers.py:166

Methodset_attn_grad

(self, attn_grad)

clip/model.py:187

Methodset_attn_probs

(self, attn_probs)

clip/model.py:184

Functionset_use_memory_efficient_attention_xformers

( self, use_memory_efficient_attention_xformers: bool, attention_op: Optional[Callable] = None )

src/diffusers_model_pipeline.py:234

clip/model.py:136

Functionstr2bool

Functiontext2image_ldm

( model, prompt: List[str], controller, num_inference_steps: int = 50, guidance_scale: Op

src/ptp_utils.py:98

Functiontext2image_ldm_stable

( model, prompt: List[str], controller, num_inference_steps: int = 50, guidance_scale: flo

src/ptp_utils.py:129

Functiontext_under_image

(image: np.ndarray, text: str, text_color: Tuple[int, int, int] = (0, 0, 0))

src/ptp_utils.py:24

Functiontokenize

Returns the tokenized representation of given input string(s) Parameters ---------- texts : Union[str, List[str]] An input s

clip/clip.py:164

Methodtraining_step

(self, batch, batch_idx)

src/model.py:559

Functionview_images

(images, num_rows=1, offset_ratio=0.02)

src/ptp_utils.py:37

Functionworker_init_fn

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