aboutsummaryrefslogtreecommitdiff
path: root/modules/models/diffusion/uni_pc
diff options
context:
space:
mode:
Diffstat (limited to 'modules/models/diffusion/uni_pc')
-rw-r--r--modules/models/diffusion/uni_pc/uni_pc.py4
1 files changed, 2 insertions, 2 deletions
diff --git a/modules/models/diffusion/uni_pc/uni_pc.py b/modules/models/diffusion/uni_pc/uni_pc.py
index eb5f4e76..11b330bc 100644
--- a/modules/models/diffusion/uni_pc/uni_pc.py
+++ b/modules/models/diffusion/uni_pc/uni_pc.py
@@ -94,7 +94,7 @@ class NoiseScheduleVP:
"""
if schedule not in ['discrete', 'linear', 'cosine']:
- raise ValueError("Unsupported noise schedule {}. The schedule needs to be 'discrete' or 'linear' or 'cosine'".format(schedule))
+ raise ValueError(f"Unsupported noise schedule {schedule}. The schedule needs to be 'discrete' or 'linear' or 'cosine'")
self.schedule = schedule
if schedule == 'discrete':
@@ -469,7 +469,7 @@ class UniPC:
t = torch.linspace(t_T**(1. / t_order), t_0**(1. / t_order), N + 1).pow(t_order).to(device)
return t
else:
- raise ValueError("Unsupported skip_type {}, need to be 'logSNR' or 'time_uniform' or 'time_quadratic'".format(skip_type))
+ raise ValueError(f"Unsupported skip_type {skip_type}, need to be 'logSNR' or 'time_uniform' or 'time_quadratic'")
def get_orders_and_timesteps_for_singlestep_solver(self, steps, order, skip_type, t_T, t_0, device):
"""