i

modules/core.py

@@ -80,7 +80,7 @@ def close_all_preview():
 
 
 @torch.no_grad()
-def ksampler(model, positive, negative, latent, seed=None, steps=30, cfg=9.0, sampler_name='euler_ancestral', scheduler='normal', denoise=1.0, disable_noise=False, start_step=None, last_step=None, force_full_denoise=False):
+def ksampler(model, positive, negative, latent, seed=None, steps=30, cfg=9.0, sampler_name='dpmpp_2m_sde', scheduler='karras', denoise=1.0, disable_noise=False, start_step=None, last_step=None, force_full_denoise=False):
     seed = seed if isinstance(seed, int) else random.randint(1, 2 ** 64)
 
     device = comfy.model_management.get_torch_device()