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Add SamplerDPMPP_2M_SDE node.

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comfyanonymous 2023-09-28 21:56:23 -04:00
parent 26b7372805
commit 66756de100
2 changed files with 27 additions and 2 deletions
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4
comfy/samplers.py
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@ -598,7 +598,7 @@ KSAMPLER_NAMES = ["euler", "euler_ancestral", "heun", "dpm_2", "dpm_2_ancestral"
"lms", "dpm_fast", "dpm_adaptive", "dpmpp_2s_ancestral", "dpmpp_sde", "dpmpp_sde_gpu", "lms", "dpm_fast", "dpm_adaptive", "dpmpp_2s_ancestral", "dpmpp_sde", "dpmpp_sde_gpu",
"dpmpp_2m", "dpmpp_2m_sde", "dpmpp_2m_sde_gpu", "dpmpp_3m_sde", "dpmpp_3m_sde_gpu", "ddpm"] "dpmpp_2m", "dpmpp_2m_sde", "dpmpp_2m_sde_gpu", "dpmpp_3m_sde", "dpmpp_3m_sde_gpu", "ddpm"]
def ksampler(sampler_name): def ksampler(sampler_name, extra_options={}):
class KSAMPLER(Sampler): class KSAMPLER(Sampler):
def sample(self, model_wrap, sigmas, extra_args, callback, noise, latent_image=None, denoise_mask=None, disable_pbar=False): def sample(self, model_wrap, sigmas, extra_args, callback, noise, latent_image=None, denoise_mask=None, disable_pbar=False):
extra_args["denoise_mask"] = denoise_mask extra_args["denoise_mask"] = denoise_mask
@ -627,7 +627,7 @@ def ksampler(sampler_name):
elif sampler_name == "dpm_adaptive": elif sampler_name == "dpm_adaptive":
samples = k_diffusion_sampling.sample_dpm_adaptive(model_k, noise, sigma_min, sigmas[0], extra_args=extra_args, callback=k_callback, disable=disable_pbar) samples = k_diffusion_sampling.sample_dpm_adaptive(model_k, noise, sigma_min, sigmas[0], extra_args=extra_args, callback=k_callback, disable=disable_pbar)
else: else:
samples = getattr(k_diffusion_sampling, "sample_{}".format(sampler_name))(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar) samples = getattr(k_diffusion_sampling, "sample_{}".format(sampler_name))(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **extra_options)
return samples return samples
return KSAMPLER return KSAMPLER

25
comfy_extras/nodes_custom_sampler.py
View File

@ -77,6 +77,30 @@ class KSamplerSelect:
sampler = comfy.samplers.sampler_class(sampler_name)() sampler = comfy.samplers.sampler_class(sampler_name)()
return (sampler, ) return (sampler, )
class SamplerDPMPP_2M_SDE:
@classmethod
def INPUT_TYPES(s):
return {"required":
{"solver_type": (['midpoint', 'heun'], ),
"eta": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step":0.01, "round": False}),
"s_noise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 100.0, "step":0.01, "round": False}),
"noise_device": (['gpu', 'cpu'], ),
}
}
RETURN_TYPES = ("SAMPLER",)
CATEGORY = "_for_testing/custom_sampling"
FUNCTION = "get_sampler"
def get_sampler(self, solver_type, eta, s_noise, noise_device):
if noise_device == 'cpu':
sampler_name = "dpmpp_2m_sde"
else:
sampler_name = "dpmpp_2m_sde_gpu"
sampler = comfy.samplers.ksampler(sampler_name, {"eta": eta, "s_noise": s_noise, "solver_type": solver_type})()
return (sampler, )
class SamplerCustom: class SamplerCustom:
@classmethod @classmethod
def INPUT_TYPES(s): def INPUT_TYPES(s):
@ -132,6 +156,7 @@ NODE_CLASS_MAPPINGS = {
"SamplerCustom": SamplerCustom, "SamplerCustom": SamplerCustom,
"KarrasScheduler": KarrasScheduler, "KarrasScheduler": KarrasScheduler,
"KSamplerSelect": KSamplerSelect, "KSamplerSelect": KSamplerSelect,
"SamplerDPMPP_2M_SDE": SamplerDPMPP_2M_SDE,
"BasicScheduler": BasicScheduler, "BasicScheduler": BasicScheduler,
"SplitSigmas": SplitSigmas, "SplitSigmas": SplitSigmas,
} }