Auto detect playground v2.5 model.

comfy/model_base.py

@@ -15,9 +15,10 @@ class ModelType(Enum):
     V_PREDICTION = 2
     V_PREDICTION_EDM = 3
     STABLE_CASCADE = 4
+    EDM = 5
 
 
-from comfy.model_sampling import EPS, V_PREDICTION, ModelSamplingDiscrete, ModelSamplingContinuousEDM, StableCascadeSampling
+from comfy.model_sampling import EPS, V_PREDICTION, EDM, ModelSamplingDiscrete, ModelSamplingContinuousEDM, StableCascadeSampling
 
 
 def model_sampling(model_config, model_type):
@@ -33,6 +34,9 @@ def model_sampling(model_config, model_type):
     elif model_type == ModelType.STABLE_CASCADE:
         c = EPS
         s = StableCascadeSampling
+    elif model_type == ModelType.EDM:
+        c = EDM
+        s = ModelSamplingContinuousEDM
 
     class ModelSampling(s, c):
         pass

comfy/supported_models.py

@@ -163,7 +163,13 @@ class SDXL(supported_models_base.BASE):
     latent_format = latent_formats.SDXL
 
     def model_type(self, state_dict, prefix=""):
-        if "v_pred" in state_dict:
+        if 'edm_mean' in state_dict and 'edm_std' in state_dict: #Playground V2.5
+            self.latent_format = latent_formats.SDXL_Playground_2_5()
+            self.sampling_settings["sigma_data"] = 0.5
+            self.sampling_settings["sigma_max"] = 80.0
+            self.sampling_settings["sigma_min"] = 0.002
+            return model_base.ModelType.EDM
+        elif "v_pred" in state_dict:
             return model_base.ModelType.V_PREDICTION
         else:
             return model_base.ModelType.EPS