diff --git a/modules/presets.py b/modules/presets.py
index 14c5a777..06e2be70 100644
--- a/modules/presets.py
+++ b/modules/presets.py
@@ -44,7 +44,7 @@ def default_preset():
         'dry_base': 1.75,
         'dry_allowed_length': 2,
         'dry_sequence_breakers': '"\\n", ":", "\\"", "*"',
-        'sampler_priority': 'repetition_penalty\npresence_penalty\nfrequency_penalty\ntemperature\ndynamic_temperature\nquadratic_sampling\ntop_k\ntop_p\ntypical_p\nepsilon_cutoff\neta_cutoff\ntfs\ntop_a\nmin_p\nmirostat\nencoder_repetition_penalty\nno_repeat_ngram'
+        'sampler_priority': 'repetition_penalty\npresence_penalty\nfrequency_penalty\ndry\ntemperature\ndynamic_temperature\nquadratic_sampling\ntop_k\ntop_p\ntypical_p\nepsilon_cutoff\neta_cutoff\ntfs\ntop_a\nmin_p\nmirostat\nencoder_repetition_penalty\nno_repeat_ngram'
     }
 
 
diff --git a/modules/sampler_hijack.py b/modules/sampler_hijack.py
index 9e865bb3..65503c12 100644
--- a/modules/sampler_hijack.py
+++ b/modules/sampler_hijack.py
@@ -537,6 +537,7 @@ def get_logits_processor_patch(self, **kwargs):
         'RepetitionPenaltyLogitsProcessorWithRange': 'repetition_penalty',
         'PresencePenaltyLogitsProcessor': 'presence_penalty',
         'FrequencyPenaltyLogitsProcessor': 'frequency_penalty',
+        'DRYLogitsProcessor': 'dry',
         'EncoderRepetitionPenaltyLogitsProcessor': 'encoder_repetition_penalty',
         'NoRepeatNGramLogitsProcessor': 'no_repeat_ngram',
     }
@@ -588,7 +589,7 @@ def generation_config_init_patch(self, **kwargs):
     self.dry_allowed_length = kwargs.pop("dry_allowed_length", 2)
     self.dry_sequence_breakers = kwargs.pop("dry_sequence_breakers", '"\\n", ":", "\\"", "*"')
     self.temperature_last = kwargs.pop("temperature_last", False)
-    self.sampler_priority = kwargs.pop("sampler_priority", ['repetition_penalty', 'presence_penalty', 'frequency_penalty', 'temperature', 'dynamic_temperature', 'quadratic_sampling', 'top_k', 'top_p', 'typical_p', 'epsilon_cutoff', 'eta_cutoff', 'tfs', 'top_a', 'min_p', 'mirostat', 'encoder_repetition_penalty', 'no_repeat_ngram'])
+    self.sampler_priority = kwargs.pop("sampler_priority", ['repetition_penalty', 'presence_penalty', 'frequency_penalty', 'dry', 'temperature', 'dynamic_temperature', 'quadratic_sampling', 'top_k', 'top_p', 'typical_p', 'epsilon_cutoff', 'eta_cutoff', 'tfs', 'top_a', 'min_p', 'mirostat', 'encoder_repetition_penalty', 'no_repeat_ngram'])
 
 
 def hijack_samplers():