diff --git a/__init__.py b/__init__.py
index 7651938..ae76efa 100644
--- a/__init__.py
+++ b/__init__.py
@@ -11,8 +11,9 @@ from .nano_banana import NODE_CLASS_MAPPINGS as NANO_BANANA_MAPPINGS, NODE_DISPL
 from .gemini_tts import NODE_CLASS_MAPPINGS as GEMINI_TTS_MAPPINGS, NODE_DISPLAY_NAME_MAPPINGS as GEMINI_TTS_DISPLAY
 from .elevenlabs_tts import NODE_CLASS_MAPPINGS as ELEVENLABS_TTS_MAPPINGS, NODE_DISPLAY_NAME_MAPPINGS as ELEVENLABS_TTS_DISPLAY
 from .flux2_replicate import NODE_CLASS_MAPPINGS as FLUX2_MAPPINGS, NODE_DISPLAY_NAME_MAPPINGS as FLUX2_DISPLAY
+from .openai_tts import NODE_CLASS_MAPPINGS as OPENAI_TTS_MAPPINGS, NODE_DISPLAY_NAME_MAPPINGS as OPENAI_TTS_DISPLAY
 from .cleanup import NODE_CLASS_MAPPINGS as CLEANUP_MAPPINGS, NODE_DISPLAY_NAME_MAPPINGS as CLEANUP_DISPLAY
 
-NODE_CLASS_MAPPINGS = {**PRO_MAPPINGS, **GEMINI_MAPPINGS, **GEMINI_DIAR_MAPPINGS, **GPT_IMAGE_MAPPINGS, **IMAGEN_IMAGE_MAPPINGS, **IMAGEN_EDIT_MAPPINGS, **VEO_MAPPINGS, **VEO_GEMINI_MAPPINGS, **GEMINI_SEGMENT_MAPPINGS, **NANO_BANANA_MAPPINGS, **GEMINI_TTS_MAPPINGS, **ELEVENLABS_TTS_MAPPINGS, **FLUX2_MAPPINGS, **CLEANUP_MAPPINGS}
-NODE_DISPLAY_NAME_MAPPINGS = {**PRO_DISPLAY, **GEMINI_DISPLAY, **GEMINI_DIAR_DISPLAY, **GPT_IMAGE_DISPLAY, **IMAGEN_IMAGE_DISPLAY, **IMAGEN_EDIT_DISPLAY, **VEO_DISPLAY, **VEO_GEMINI_DISPLAY, **GEMINI_SEGMENT_DISPLAY, **NANO_BANANA_DISPLAY, **GEMINI_TTS_DISPLAY, **ELEVENLABS_TTS_DISPLAY, **FLUX2_DISPLAY, **CLEANUP_DISPLAY}
+NODE_CLASS_MAPPINGS = {**PRO_MAPPINGS, **GEMINI_MAPPINGS, **GEMINI_DIAR_MAPPINGS, **GPT_IMAGE_MAPPINGS, **IMAGEN_IMAGE_MAPPINGS, **IMAGEN_EDIT_MAPPINGS, **VEO_MAPPINGS, **VEO_GEMINI_MAPPINGS, **GEMINI_SEGMENT_MAPPINGS, **NANO_BANANA_MAPPINGS, **GEMINI_TTS_MAPPINGS, **ELEVENLABS_TTS_MAPPINGS, **FLUX2_MAPPINGS, **OPENAI_TTS_MAPPINGS, **CLEANUP_MAPPINGS}
+NODE_DISPLAY_NAME_MAPPINGS = {**PRO_DISPLAY, **GEMINI_DISPLAY, **GEMINI_DIAR_DISPLAY, **GPT_IMAGE_DISPLAY, **IMAGEN_IMAGE_DISPLAY, **IMAGEN_EDIT_DISPLAY, **VEO_DISPLAY, **VEO_GEMINI_DISPLAY, **GEMINI_SEGMENT_DISPLAY, **NANO_BANANA_DISPLAY, **GEMINI_TTS_DISPLAY, **ELEVENLABS_TTS_DISPLAY, **FLUX2_DISPLAY, **OPENAI_TTS_DISPLAY, **CLEANUP_DISPLAY}
 __all__ = ['NODE_CLASS_MAPPINGS', 'NODE_DISPLAY_NAME_MAPPINGS']
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diff --git a/openai_tts.py b/openai_tts.py
new file mode 100644
index 0000000..f8d3b0d
--- /dev/null
+++ b/openai_tts.py
@@ -0,0 +1,106 @@
+import os
+import io
+import torch
+import requests
+import soundfile as sf
+
+class OpenAITTSNode:
+    
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "text": ("STRING", {"multiline": True, "default": ""}),
+                "model": ([
+                    "gpt-4o-mini-tts",
+                    "tts-1",
+                    "tts-1-hd"
+                ],),
+                "voice": ([
+                    "alloy",
+                    "ash",
+                    "coral",
+                    "echo",
+                    "fable",
+                    "onyx",
+                    "nova",
+                    "sage",
+                    "shimmer"
+                ],),
+                "response_format": ([
+                    "mp3",
+                    "opus",
+                    "aac",
+                    "flac",
+                    "wav",
+                    "pcm"
+                ],),
+                "speed": ("FLOAT", {"default": 1.0, "min": 0.25, "max": 4.0, "step": 0.01}),
+                "api_key": ("STRING", {"multiline": False, "default": ""}),
+            },
+            "optional": {
+                "instructions": ("STRING", {"multiline": True, "default": ""}),
+            }
+        }
+    
+    RETURN_TYPES = ("AUDIO",)
+    RETURN_NAMES = ("audio",)
+    FUNCTION = "generate_speech"
+    CATEGORY = "audio/generation"
+    
+    def generate_speech(self, text, api_key, model, voice, response_format, speed, instructions=""):
+        
+        if not text.strip():
+            raise ValueError("Text input cannot be empty.")
+        
+        key = api_key.strip() or os.environ.get("OPENAI_API_KEY")
+        if not key:
+            raise ValueError("No API key provided. Set OPENAI_API_KEY environment variable or provide it in the node.")
+        
+        # Check if instructions are used with incompatible models
+        if instructions.strip() and model in ["tts-1", "tts-1-hd"]:
+            raise ValueError(f"Instructions parameter is not supported with model '{model}'. Please use 'gpt-4o-mini-tts' instead.")
+        
+        url = "https://api.openai.com/v1/audio/speech"
+        
+        headers = {
+            "Authorization": f"Bearer {key}",
+            "Content-Type": "application/json"
+        }
+        
+        data = {
+            "model": model,
+            "input": text,
+            "voice": voice,
+            "response_format": response_format,
+            "speed": speed
+        }
+        
+        # Add instructions only if provided and model supports it
+        if instructions.strip() and model not in ["tts-1", "tts-1-hd"]:
+            data["instructions"] = instructions
+        
+        response = requests.post(url, json=data, headers=headers)
+        
+        if response.status_code != 200:
+            raise Exception(f"OpenAI API Error: {response.status_code}, {response.text}")
+        
+        # Decode audio with soundfile
+        audio_buffer = io.BytesIO(response.content)
+        waveform, sample_rate = sf.read(audio_buffer, dtype='float32')
+        waveform = torch.from_numpy(waveform)
+        
+        # Ensure correct shape [channels, samples]
+        if waveform.dim() == 1:
+            waveform = waveform.unsqueeze(0)
+        else:
+            waveform = waveform.t()
+        
+        return ({"waveform": waveform.unsqueeze(0), "sample_rate": sample_rate},)
+    
+    @classmethod
+    def IS_CHANGED(cls, **kwargs):
+        return f"{kwargs.get('text', '')}-{kwargs.get('voice', '')}-{kwargs.get('model', '')}"
+
+NODE_CLASS_MAPPINGS = {"OpenAITTSNode": OpenAITTSNode}
+NODE_DISPLAY_NAME_MAPPINGS = {"OpenAITTSNode": "OpenAI Text-to-Speech"}
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