Gpu variant of dpmpp_3m_sde. Note: use 3m with exponential or karras.

This commit is contained in:
comfyanonymous
2023-08-14 00:28:50 -04:00
parent ba319a34e4
commit 58c7da3665
2 changed files with 24 additions and 17 deletions

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@@ -528,7 +528,7 @@ class KSampler:
SCHEDULERS = ["normal", "karras", "exponential", "simple", "ddim_uniform"]
SAMPLERS = ["euler", "euler_ancestral", "heun", "dpm_2", "dpm_2_ancestral",
"lms", "dpm_fast", "dpm_adaptive", "dpmpp_2s_ancestral", "dpmpp_sde", "dpmpp_sde_gpu",
"dpmpp_2m", "dpmpp_2m_sde", "dpmpp_2m_sde_gpu", "dpmpp_3m","dpmpp_3m_sde", "ddim", "uni_pc", "uni_pc_bh2"]
"dpmpp_2m", "dpmpp_2m_sde", "dpmpp_2m_sde_gpu", "dpmpp_3m", "dpmpp_3m_sde", "dpmpp_3m_sde_gpu", "ddim", "uni_pc", "uni_pc_bh2"]
def __init__(self, model, steps, device, sampler=None, scheduler=None, denoise=None, model_options={}):
self.model = model