Add SamplerDPMPP_2M_SDE node.

comfy/samplers.py

@@ -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",
                   "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):
         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
@@ -627,7 +627,7 @@ def ksampler(sampler_name):
             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)
             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 KSAMPLER
 

comfy_extras/nodes_custom_sampler.py

@@ -77,6 +77,30 @@ class KSamplerSelect:
         sampler = comfy.samplers.sampler_class(sampler_name)()
         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:
     @classmethod
     def INPUT_TYPES(s):
@@ -132,6 +156,7 @@ NODE_CLASS_MAPPINGS = {
     "SamplerCustom": SamplerCustom,
     "KarrasScheduler": KarrasScheduler,
     "KSamplerSelect": KSamplerSelect,
+    "SamplerDPMPP_2M_SDE": SamplerDPMPP_2M_SDE,
     "BasicScheduler": BasicScheduler,
     "SplitSigmas": SplitSigmas,
 }