↓ 2 callersMethodget_cond(
self,
elevation: Float[Tensor, "B"],
azimuth: Float[Tensor, "B"],
camera_dis
threestudio/models/guidance/zero123_guidance.py:206
↓ 2 callersMethodget_input(self, batch, k, return_first_stage_outputs=False, force_c_encode=False,
cond_key=None, retu
mv-diffusion/One-2-3-45-by-view/ldm/models/diffusion/ddpm.py:723
↓ 2 callersMethodp_sample(
self,
x,
c,
t,
clip_denoised=False,
repeat_noise=False,
extern/ldm_zero123/models/diffusion/ddpm.py:1371
↓ 2 callersMethodp_sample(self, x, c, t, clip_denoised=False, repeat_noise=False,
return_codebook_ids=False, quantize_
mv-diffusion/One-2-3-45-by-view/ldm/models/diffusion/ddpm.py:1071
↓ 2 callersMethodp_sample_ddim(
self,
x,
c,
t,
index,
repeat_noise=False,
use_origin
extern/ldm_zero123/models/diffusion/ddim.py:272
↓ 2 callersMethodp_sample_ddim(self, x, c, t, index, repeat_noise=False, use_original_steps=False, quantize_denoised=False,
mv-diffusion/MVDream/mvdream/ldm/models/diffusion/ddim.py:164
↓ 2 callersMethodp_sample_ddim(self, x, c, t, index, repeat_noise=False, use_original_steps=False, quantize_denoised=False,
mv-diffusion/One-2-3-45-by-view/ldm/models/diffusion/ddim.py:187
↓ 2 callersFunctionpredict_stage1_gradio(args, model, raw_im, save_path = "", adjust_set=[], device="cuda", ddim_steps=75, scale=3.0)
mv-diffusion/One-2-3-45-by-view/utils/zero123_utils.py:109
↓ 2 callersMethodprogressive_denoising(
self,
cond,
shape,
verbose=True,
callback=None,
quantize_den
extern/ldm_zero123/models/diffusion/ddpm.py:1425
↓ 2 callersMethodprogressive_denoising(self, cond, shape, verbose=True, callback=None, quantize_denoised=False,
img_ca
mv-diffusion/One-2-3-45-by-view/ldm/models/diffusion/ddpm.py:1102
↓ 2 callersMethodrasterize(
self,
pos: Float[Tensor, "B Nv 4"],
tri: Integer[Tensor, "Nf 3"],
resolution
threestudio/utils/rasterize.py:30
↓ 2 callersMethodregister_schedule(self, given_betas=None, beta_schedule="linear", timesteps=1000,
linear_start=1e-4,
mv-diffusion/One-2-3-45-by-view/ldm/models/diffusion/ddpm.py:126