better output quality
@ -1,7 +1,7 @@
from dataclasses import dataclass
DEFAULT_MODEL = "SD-1.5"
DEFAULT_SAMPLER = "k_dpmpp_2m"
DEFAULT_SAMPLER = "ddim"
DEFAULT_NEGATIVE_PROMPT = (
"Ugly, duplication, duplicates, mutilation, deformed, mutilated, mutation, twisted body, disfigured, bad anatomy, "
@ -28,7 +28,7 @@ class DDIMSampler(ImageSampler):
short_name = SamplerName.DDIM
name = "Denoising Diffusion Implicit Models"
default_steps = 40
default_steps = 50
@torch.no_grad()
def sample(