diff --git a/presets_to_add.py b/presets_to_add.py
index 1fcd59a..6c98ed7 100644
--- a/presets_to_add.py
+++ b/presets_to_add.py
@@ -4,34 +4,19 @@ extra_samplers = {}
 extra_samplers["heun_cfg_pp"] = distance_wrap(resample=1,cfgpp=True)
 
 """
+
 To add a sampler to the list of samplers you can do it this way (outside of this comment):
 
 extra_samplers["the_name_that_you_want"] = distance_wrap(resample=3,resample_end=-1,cfgpp=False)
 
-"resample" is the starting value, how many more inferences it will use.
+"resample" is the starting value, how many more inferences it will use. More is slower.
 For resample_end "-1" means constant.
 Constant resample at 0 gives Euler, 1 gives Heun.
 cfgpp will determin if you want it or not. True or False.
 
-You can remove the part below if you prefer to clean the list from the preset that I added.
 """
 
-def make_preset(cfgpp,start,end):
-    ppname = "_cfg_pp" if cfgpp else ""
-    stepsn = "constant" if end == -1 else "fast"
-    preset_name = f"distance_{stepsn}_{start}{ppname}"
-    preset_sampler = distance_wrap(resample=start,resample_end=end,cfgpp=cfgpp)
-    return preset_name, preset_sampler
-
-ispp = [False,True] # CFGpp
-resample_start = [3,4]
-resample_const = [2,3,4]
-for ipp in ispp:
-    distance_p = resample_start
-    for ep in distance_p:
-        name, p_sampler = make_preset(ipp,ep,1)
-        extra_samplers[name] = p_sampler
-    distance_p = resample_const
-    for ep in distance_p:
-        name, p_sampler = make_preset(ipp,ep,-1)
-        extra_samplers[name] = p_sampler
\ No newline at end of file
+extra_samplers["distance"] = distance_wrap(resample=2,resample_end=-1,cfgpp=False)
+extra_samplers["distance_fast"] = distance_wrap(resample=3,resample_end=1,cfgpp=False)
+extra_samplers["distance_cfg_pp"] = distance_wrap(resample=2,resample_end=-1,cfgpp=True)
+extra_samplers["distance_fast_cfg_pp"] = distance_wrap(resample=3,resample_end=1,cfgpp=True)