Add a node to set CLIP skip.

Use a more simple way to detect if the model is -v prediction.

comfy/ldm/models/diffusion/ddpm.py

@@ -81,7 +81,7 @@ class DDPM(torch.nn.Module):
         super().__init__()
         assert parameterization in ["eps", "x0", "v"], 'currently only supporting "eps" and "x0" and "v"'
         self.parameterization = parameterization
-        # print(f"{self.__class__.__name__}: Running in {self.parameterization}-prediction mode")
+        print(f"{self.__class__.__name__}: Running in {self.parameterization}-prediction mode")
         self.cond_stage_model = None
         self.clip_denoised = clip_denoised
         self.log_every_t = log_every_t