Add gpu variations of the sde samplers that are less deterministic

but faster.
This commit is contained in:
comfyanonymous
2023-07-05 01:37:34 -04:00
parent f81b192944
commit e57cba4c61
2 changed files with 33 additions and 8 deletions

View File

@@ -483,8 +483,8 @@ def encode_adm(model, conds, batch_size, width, height, device, prompt_type):
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_2m", "dpmpp_2m_sde", "ddim", "uni_pc", "uni_pc_bh2"]
"lms", "dpm_fast", "dpm_adaptive", "dpmpp_2s_ancestral", "dpmpp_sde", "dpmpp_sde_gpu",
"dpmpp_2m", "dpmpp_2m_sde", "dpmpp_2m_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