added diffusion_model and tokenizer_json as arguments for settings editing

tortoise/api.py

@@ -565,6 +565,8 @@ class TextToSpeech:
             num_autoregressive_samples=512, temperature=.8, length_penalty=1, repetition_penalty=2.0, top_p=.8, max_mel_tokens=500,
             sample_batch_size=None,
             autoregressive_model=None,
+            diffusion_model=None,
+            tokenizer_json=None,
             # CVVP parameters follow
             cvvp_amount=.0,
             # diffusion generation parameters follow
@@ -632,6 +634,16 @@ class TextToSpeech:
         elif autoregressive_model != self.autoregressive_model_path:
             self.load_autoregressive_model(autoregressive_model)
 
+        if diffusion_model is None:
+            diffusion_model = self.diffusion_model_path
+        elif diffusion_model != self.diffusion_model_path:
+            self.load_diffusion_model(diffusion_model)
+
+        if tokenizer_json is None:
+            tokenizer_json = self.tokenizer_json
+        elif tokenizer_json != self.tokenizer_json:
+            self.load_tokenizer_json(tokenizer_json)
+
         text_tokens = torch.IntTensor(self.tokenizer.encode(text)).unsqueeze(0)
         text_tokens = migrate_to_device( text_tokens, self.device )