diff --git a/modules/presets.py b/modules/presets.py
index 42ca7820..21334e0f 100644
--- a/modules/presets.py
+++ b/modules/presets.py
@@ -1,4 +1,5 @@
 import functools
+import pprint
 import random
 from pathlib import Path
 
@@ -6,6 +7,7 @@ import yaml
 
 from modules import shared
 from modules.loaders import loaders_samplers
+from modules.logging_colors import logger
 
 
 def default_preset():
@@ -81,7 +83,8 @@ def random_preset(state):
             'eta_cutoff': [3, 6, 9, 12, 15, 18],
         },
         'flatten_distribution': {
-            'temperature': [0.5, 0.7, 0.8, 1, 1.2, 1.5, 2.0],
+            'temperature': [0.5, 0.7, 0.8, 1, 1.2, 1.5, 2.0, 3.0, 5.0],
+            'dynamic_temperature_low': [0.5, 0.7, 0.8, 1, 1.2, 1.5, 2.0, 3.0],
         },
         'repetition': {
             'repetition_penalty': [1, 1.05, 1.1, 1.15, 1.20, 1.25],
@@ -90,20 +93,51 @@ def random_preset(state):
         },
         'other': {
             'temperature_last': [True, False],
+            'dynamic_temperature': [True, False],
         }
     }
 
     generate_params = default_preset()
+    defaults = default_preset()
+
     for cat in params_and_values:
         choices = list(params_and_values[cat].keys())
         if shared.args.loader is not None:
             choices = [x for x in choices if x in loaders_samplers[shared.args.loader]]
 
         if len(choices) > 0:
-            choice = random.choice(choices)
-            generate_params[choice] = random.choice(params_and_values[cat][choice])
+            if cat == 'other':
+                N = random.randint(1, len(choices))
+                maybe_multiple_choices = random.sample(choices, N)
+                for choice in maybe_multiple_choices:
+                    generate_params[choice] = random.choice(params_and_values[cat][choice])
+            else:
+                choice = random.choice(choices)
+                generate_params[choice] = random.choice(params_and_values[cat][choice])
+
+    # If using dynamic temperature, sample the high/low values simultaneously.
+    # If necessary, resample until the low is lower than the high
+    if generate_params['dynamic_temperature']:
+        generate_params['dynamic_temperature_low'] = random.choice(params_and_values['flatten_distribution']['dynamic_temperature_low'])
+        generate_params['temperature'] = random.choice(params_and_values['flatten_distribution']['temperature'])
+        while generate_params['dynamic_temperature_low'] >= generate_params['temperature']:
+            generate_params['dynamic_temperature_low'] = random.choice(params_and_values['flatten_distribution']['dynamic_temperature_low'])
+            generate_params['temperature'] = random.choice(params_and_values['flatten_distribution']['temperature'])
+    elif 'dynamic_temperature_low' in generate_params:
+        generate_params['dynamic_temperature_low'] = defaults['dynamic_temperature_low']
 
     state.update(generate_params)
+
+    diff = {}
+    # Remove entries that are identical to the defaults
+    for k in list(generate_params.keys()):
+        if generate_params[k] != defaults[k]:
+            diff[k] = generate_params[k]
+
+    logger.info("GENERATED_PRESET=")
+    pprint.PrettyPrinter(indent=4, sort_dicts=False).pprint(diff)
+    print()
+
     return state, *[generate_params[k] for k in presets_params()]