diff --git a/src/utils.py b/src/utils.py
index e970b70..1eaefb7 100755
--- a/src/utils.py
+++ b/src/utils.py
@@ -1015,7 +1015,7 @@ def generate_tortoise(**kwargs):
 			'cond_free_k': float(parameters['cond_free_k']),
 
 			'num_autoregressive_samples': parameters['num_autoregressive_samples'],
-			'sample_batch_size': parameters['sample_batch_size'] if parameters.get('sample_batch_size') else args.sample_batch_size,
+			'sample_batch_size': args.sample_batch_size,
 			'diffusion_iterations': parameters['diffusion_iterations'],
 
 			'voice_samples': None,
@@ -1030,9 +1030,9 @@ def generate_tortoise(**kwargs):
 			'cond_free': "Conditioning-Free" in parameters['experimentals'],
 			'cvvp_amount': parameters['cvvp_weight'],
 			
-			'autoregressive_model': parameters['autoregressive_model'] if parameters.get('autoregressive_model') else args.autoregressive_model,
-			'diffusion_model': parameters['diffusion_model'] if parameters.get('diffusion_model') else args.diffusion_model,
-			'tokenizer_json': parameters['tokenizer_json'] if parameters.get('tokenizer_json') else args.tokenizer_json,
+			'autoregressive_model': args.autoregressive_model,
+			'diffusion_model': args.diffusion_model,
+			'tokenizer_json': args.tokenizer_json,
 		}
 
 		# could be better to just do a ternary on everything above, but i am not a professional
@@ -1046,7 +1046,6 @@ def generate_tortoise(**kwargs):
 					continue
 				settings[k] = override[k]
 
-
 		if settings['autoregressive_model'] is not None:
 			if settings['autoregressive_model'] == "auto":
 				settings['autoregressive_model'] = deduce_autoregressive_model(selected_voice)