↓ 1 callersMethodlog_images(self, batch, N=8, n_row=2, sample=True, return_keys=None, **kwargs)
ldm/models/diffusion/ddpm.py:523
↓ 1 callersMethodlog_images(self, batch, N=8, n_row=2, sample=True, return_keys=None, **kwargs)
ldm/models/diffusion/ddpm_inv.py:387
↓ 1 callersMethodp_mean_variance(self, x, c, t, clip_denoised: bool, return_codebook_ids=False, quantize_denoised=False,
ldm/models/diffusion/ddpm.py:1213
↓ 1 callersMethodp_mean_variance(self, x, c, c_ne, cfg, t, clip_denoised: bool, return_codebook_ids=False, quantize_denoised=False,
ldm/models/diffusion/ddpm.py:2708
↓ 1 callersMethodp_mean_variance(self, x, c, t, clip_denoised: bool, return_codebook_ids=False, quantize_denoised=False,
ldm/models/diffusion/ddpm_inv.py:1096
↓ 1 callersMethodp_sample_canvas(self, x, c, c_ne, cfg, t, clip_denoised=False, repeat_noise=False,
return_codebook_ids=False
ldm/models/diffusion/ddpm.py:2931
↓ 1 callersMethodp_sample_ddim_sr_t(self, x, c, struct_c, t, index, repeat_noise=False, use_original_steps=False, quantize_denoised=False,
ldm/models/diffusion/ddim.py:635
↓ 1 callersMethodp_sample_loop(self, cond, shape, return_intermediates=False,
x_T=None, verbose=True, callback=None, t
ldm/models/diffusion/ddpm.py:1334
↓ 1 callersMethodp_sample_loop(self, cond, cond_ne, cfg, shape, return_intermediates=False,
x_T=None, verbose=True, ca
ldm/models/diffusion/ddpm.py:3020
↓ 1 callersMethodp_sample_loop(self, cond, shape, return_intermediates=False,
x_T=None, verbose=True, callback=None, t
ldm/models/diffusion/ddpm_inv.py:1215
↓ 1 callersMethodp_sample_loop_canvas(self, cond, cond_ne, cfg, shape, return_intermediates=False,
x_T=None, verbose=True, ca
ldm/models/diffusion/ddpm.py:3149
↓ 1 callersMethodp_sample_plms(self, x, c, t, index, repeat_noise=False, use_original_steps=False, quantize_denoised=False,
ldm/models/diffusion/plms.py:173
↓ 1 callersMethodprogressive_denoising(self, cond, shape, verbose=True, callback=None, quantize_denoised=False,
img_ca
ldm/models/diffusion/ddpm.py:1278
↓ 1 callersMethodprogressive_denoising(self, cond, struct_cond, shape, verbose=True, callback=None, quantize_denoised=False,
ldm/models/diffusion/ddpm.py:2964