Public/automatic
1
0
Fork 0
mirror of https://github.com/vladmandic/automatic synced 2026-09-04 03:50:44 +02:00
Code Issues Packages Projects Releases Wiki Activity

pre-merge cleanup

Browse Source
This commit is contained in:
Vladimir Mandic
2023-03-14 07:58:46 -04:00
parent 3d42e60426
commit 0251dfb250
1 changed files with 2 additions and 3 deletions
Download Patch File Download Diff File Expand all files Collapse all files
modules/models/diffusion/uni_pc/uni_pc.py
+2 -3
View File
@@ -1,7 +1,6 @@
import torch
import torch.nn.functional as F
import math
from tqdm.auto import trange
class NoiseScheduleVP:
@@ -751,7 +750,7 @@ class UniPC:
if method == 'multistep':
assert steps >= order, "UniPC order must be < sampling steps"
timesteps = self.get_time_steps(skip_type=skip_type, t_T=t_T, t_0=t_0, N=steps, device=device)
# print(f"Running UniPC Sampling with {timesteps.shape[0]} timesteps, order {order}")
print(f"Running UniPC Sampling with {timesteps.shape[0]} timesteps, order {order}")
assert timesteps.shape[0] - 1 == steps
with torch.no_grad():
vec_t = timesteps[0].expand((x.shape[0]))
@@ -767,7 +766,7 @@ class UniPC:
self.after_update(x, model_x)
model_prev_list.append(model_x)
t_prev_list.append(vec_t)
for step in trange(order, steps + 1):
for step in range(order, steps + 1):
vec_t = timesteps[step].expand(x.shape[0])
if lower_order_final:
step_order = min(order, steps + 1 - step)