Fix regression with ddim and uni_pc when batch size > 1.

comfy/k_diffusion/external.py

@@ -92,8 +92,8 @@ class DiscreteSchedule(nn.Module):
 
     def predict_eps_discrete_timestep(self, input, t, **kwargs):
         sigma = self.t_to_sigma(t.round())
-        input = input * ((sigma ** 2 + 1.0) ** 0.5)
+        input = input * ((utils.append_dims(sigma, input.ndim) ** 2 + 1.0) ** 0.5)
-        return  (input - self(input, sigma, **kwargs)) / sigma
+        return  (input - self(input, sigma, **kwargs)) / utils.append_dims(sigma, input.ndim)
 
 class DiscreteEpsDDPMDenoiser(DiscreteSchedule):
     """A wrapper for discrete schedule DDPM models that output eps (the predicted