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lvmin
2023-08-10 17:57:26 -07:00
parent 4bb013bd2d
commit 1e0e4b07e1
1 changed files with 10 additions and 0 deletions
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modules/core.py
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@@ -106,6 +106,11 @@ def close_all_preview():
def ksampler(model, positive, negative, latent, seed=None, steps=30, cfg=7.0, sampler_name='dpmpp_2m_sde_gpu',
scheduler='karras', denoise=1.0, disable_noise=False, start_step=None, last_step=None,
force_full_denoise=False):
# 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", "ddim", "uni_pc", "uni_pc_bh2"]
seed = seed if isinstance(seed, int) else random.randint(1, 2 ** 64)
device = comfy.model_management.get_torch_device()
@@ -170,6 +175,11 @@ def ksampler_with_refiner(model, positive, negative, refiner, refiner_positive,
seed=None, steps=30, refiner_switch_step=20, cfg=7.0, sampler_name='dpmpp_2m_sde_gpu',
scheduler='karras', denoise=1.0, disable_noise=False, start_step=None, last_step=None,
force_full_denoise=False):
# 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", "ddim", "uni_pc", "uni_pc_bh2"]
seed = seed if isinstance(seed, int) else random.randint(1, 2 ** 64)
device = comfy.model_management.get_torch_device()