Doesn't really make sense for cfg_pp sampler to call regular one.

comfy/k_diffusion/sampling.py

@@ -1103,13 +1103,10 @@ def post_cfg_function(args):
     return x
 @torch.no_grad()
 def sample_dpmpp_2s_ancestral_cfg_pp(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None):
-    if isinstance(model.inner_model.inner_model.model_sampling, comfy.model_sampling.CONST):
-        return sample_dpmpp_2s_ancestral_RF(model, x, sigmas, extra_args, callback, disable, eta, s_noise, noise_sampler)
-
     """Ancestral sampling with DPM-Solver++(2S) second-order steps."""
     extra_args = {} if extra_args is None else extra_args
     noise_sampler = default_noise_sampler(x) if noise_sampler is None else noise_sampler
-    
+
     temp = [0]
     def post_cfg_function(args):
         temp[0] = args["uncond_denoised"]