↓ 1 callersFunctionget_time_words_attention_alpha(
prompts, num_steps, cross_replace_steps: Union[float, Dict[str, Tuple[float, float]]], tokenizer, max_nu
lvdm/utils/ptp_utils.py:404
↓ 1 callersFunctioninference_prompt(model, prompts, noise_shape, cross_attention_kwargs, n_samples=1, ddim_steps=50, ddim_eta=1., \
pipeline/evaluation/p2p_inference.py:109
↓ 1 callersFunctioninference_prompt(model, prompts, noise_shape, cross_attention_kwargs, n_samples=1, ddim_steps=50, ddim_eta=1., \
pipeline/evaluation/p2p_inference_timesteps.py:109
↓ 1 callersMethodp_mean_variance(self, x, c, t, clip_denoised: bool, return_x0=False, score_corrector=None, corrector_kwargs=None, **kwargs)
lvdm/models/ddpm3d.py:1026
↓ 1 callersMethodp_sample(self, x, c, t, clip_denoised=False, repeat_noise=False, return_x0=False, \
temperature=1., n
lvdm/models/ddpm3d.py:1052
↓ 1 callersMethodp_sample_loop(self, cond, shape, return_intermediates=False, x_T=None, verbose=True, callback=None, \
lvdm/models/ddpm3d.py:1074
↓ 1 callersMethodp_sample_plms(self, x, c, t, index, repeat_noise=False, use_original_steps=False, quantize_denoised=False,
lvdm/models/samplers/plms.py:173