by request: fix tiled vae extension

modules/sd_samplers_kdiffusion.py

 import torch
 import inspect
 import k_diffusion.sampling
-from modules import sd_samplers_common, sd_samplers_extra, sd_samplers_cfg_denoiser
+from modules import sd_samplers_common, sd_samplers_extra
+from modules.sd_samplers_cfg_denoiser import CFGDenoiser
 
 from modules.shared import opts
 import modules.shared as shared
@@ -62,7 +63,7 @@ class KDiffusionSampler(sd_samplers_common.Sampler):
 
         denoiser = k_diffusion.external.CompVisVDenoiser if sd_model.parameterization == "v" else k_diffusion.external.CompVisDenoiser
         self.model_wrap = denoiser(sd_model, quantize=shared.opts.enable_quantization)
-        self.model_wrap_cfg = sd_samplers_cfg_denoiser.CFGDenoiser(self.model_wrap, self)
+        self.model_wrap_cfg = CFGDenoiser(self.model_wrap, self)
 
     def get_sigmas(self, p, steps):
         discard_next_to_last_sigma = self.config is not None and self.config.options.get('discard_next_to_last_sigma', False)

modules/sd_samplers_timesteps.py

 import torch
 import inspect
+import sys
 from modules import devices, sd_samplers_common, sd_samplers_timesteps_impl
 from modules.sd_samplers_cfg_denoiser import CFGDenoiser
 
@@ -145,3 +146,6 @@ class CompVisSampler(sd_samplers_common.Sampler):
 
         return samples
 
+
+sys.modules['modules.sd_samplers_compvis'] = sys.modules[__name__]
+VanillaStableDiffusionSampler = CompVisSampler  # temp. compatibility with older extensions