# ComfyUI-Maya1_TTS **Expressive Voice Generation with Emotions for ComfyUI** A ComfyUI node pack for [Maya1](https://huggingface.co/maya-research/maya1), a 3B-parameter speech model built for expressive voice generation with rich human emotion and precise voice design. https://github.com/user-attachments/assets/1be0c2a0-22fb-4890-9147-d20abeb2e067 --- ## ✨ Features ### Core Features - 🎭 **Voice Design** through natural language descriptions - 😊 **16 Emotion Tags**: laugh, cry, whisper, angry, sigh, gasp, scream, and more - ⚡ **Real-time Generation** with SNAC neural codec (24kHz audio) - 🔧 **Multiple Attention Mechanisms**: SDPA, eager, Flash Attention 2, Sage Attention (1/2) - 💾 **Quantization Support**: 4-bit and 8-bit for memory-constrained GPUs - 🛑 **Native ComfyUI Cancel**: Stop generation anytime - 📊 **Progress Tracking**: Real-time token generation speed (it/s) - 🔄 **Model Caching**: Fast subsequent generations - 🎯 **Smart VRAM Management**: Auto-clears on dtype changes ### Custom Canvas UI - 🎨 **Beautiful Dark Theme** with purple accents and smooth animations - 👤 **5 Character Presets**: Quick-load voice templates (Male US, Female UK, Announcer, Robot, Demon) - 🎭 **16 Visual Emotion Buttons**: One-click emotion tag insertion at cursor position - ⛶ **Professional HTML Modal Editor**: Fullscreen text editor with native textarea for longform content - 🔤 **Font Size Controls**: Adjustable 12-20px font size with visual slider - ⌨️ **Advanced Keyboard Shortcuts**: Ctrl+A, Ctrl+C, Ctrl+V, Ctrl+X, Ctrl+Enter to save, ESC to cancel - 🔔 **Toast Notifications**: Visual feedback for save success and validation errors - 📝 **Inline Text Editing**: Click-to-edit with cursor positioning and drag-to-select - 🖱️ **Scroll Support**: Custom themed scrollbars with mouse wheel scrolling - 📱 **Responsive Design**: Modal adapts to all screen sizes - 💡 **Contextual Tooltips**: Helpful hints on every control - 🎬 **Collapsible Sections**: Clean, organized interface - 🔄 **Smart Audio Processing**: Auto-chunking for long text with crossfade blending for seamless output --- ## 📦 Installation

Quick Install (Click to expand)

### 1. Clone the Repository ```bash cd ComfyUI/custom_nodes/ git clone https://github.com/Saganaki22/ComfyUI-Maya1_TTS.git cd ComfyUI-Maya1_TTS ``` ### 2. Install Dependencies **Core dependencies** (required): ```bash pip install torch>=2.0.0 transformers>=4.50.0 numpy>=1.21.0 snac>=1.0.0 ``` **Or install from requirements.txt:** ```bash pip install -r requirements.txt ```

Optional: Enhanced Performance (Click to expand)

### Quantization (Memory Savings) For 4-bit/8-bit quantization support: ```bash pip install bitsandbytes>=0.41.0 ``` **Memory savings:** - 4-bit: ~6GB → (slight quality loss) - 8-bit: ~6GB → (minimal quality loss) ### Accelerated Attention **Flash Attention 2** (CUDA only): ```bash pip install flash-attn>=2.0.0 ``` **Sage Attention** (memory efficient for batch): ```bash pip install sageattention>=1.0.0 ``` ### Install All Optional Dependencies ```bash pip install bitsandbytes flash-attn sageattention ```

Download Maya1 Model (Click to expand)

### Model Location Models go in: `ComfyUI/models/maya1-TTS/` ### Expected Folder Structure After downloading, your model folder should look like this: ``` ComfyUI/ └── models/ └── maya1-TTS/ └── maya1/ # Model name (can be anything) ├── chat_template.jinja # Chat template ├── config.json # Model configuration ├── generation_config.json # Generation settings ├── model-00001-of-00002.safetensors # Model weights (shard 1) ├── model-00002-of-00002.safetensors # Model weights (shard 2) ├── model.safetensors.index.json # Weight index ├── special_tokens_map.json # Special tokens └── tokenizer/ # Tokenizer subfolder ├── chat_template.jinja # Chat template (duplicate) ├── special_tokens_map.json # Special tokens (duplicate) ├── tokenizer.json # Tokenizer vocabulary (22.9 MB) └── tokenizer_config.json # Tokenizer config ``` **Critical files required:** - `config.json` - Model architecture configuration - `generation_config.json` - Default generation parameters - `model-00001-of-00002.safetensors` & `model-00002-of-00002.safetensors` - Model weights (2 shards) - `model.safetensors.index.json` - Weight index mapping - `chat_template.jinja` & `special_tokens_map.json` - In root folder - `tokenizer/` folder with all 4 tokenizer files **Note:** You can have multiple models by creating separate folders like `maya1`, `maya1-finetuned`, etc. ### Option 1: Hugging Face CLI (Recommended) ```bash # Install HF CLI pip install huggingface-hub # Create directory cd ComfyUI mkdir -p models/maya1-TTS # Download model hf download maya-research/maya1 --local-dir models/maya1-TTS/maya1 ``` ### Option 2: Python Script ```python from huggingface_hub import snapshot_download snapshot_download( repo_id="maya-research/maya1", local_dir="ComfyUI/models/maya1-TTS/maya1", local_dir_use_symlinks=False ) ``` ### Option 3: Manual Download 1. Go to [Maya1 on HuggingFace](https://huggingface.co/maya-research/maya1) 2. Download all files to `ComfyUI/models/maya1-TTS/maya1/`

Restart ComfyUI

Restart ComfyUI to load the new nodes. The node will appear under: **Add Node → audio → Maya1 TTS (AIO) / Maya1 TTS (AIO) Barebones**

--- ## 🎮 Usage ### Two Node Options **Maya1 TTS (AIO)** - Full custom UI with visual controls (recommended) - Beautiful dark theme with character presets, emotion buttons, and modal editor - Best user experience with visual feedback and tooltips **Maya1 TTS (AIO) Barebones** - Standard ComfyUI widgets only - For users experiencing JavaScript rendering issues (black box) - Same functionality, simpler interface - All inputs stacked vertically with standard dropdowns and text boxes --- ### Node: Maya1 TTS (AIO) All-in-one node for loading models and generating speech with a beautiful custom canvas UI. | Maya1 TTS (AIO) | Maya1 TTS (AIO) Barebones | |:---:|:---:| | Screenshot 2025-11-07 084153

| ### ✨ Custom Canvas Interface The node features a completely custom-built interface with: **Character Presets** (Top Row) - Click any preset to instantly load a pre-configured voice description - 5 presets: ♂️ Male US, ♀️ Female UK, 🎙️ Announcer, 🤖 Robot, 😈 Demon **Text Fields** - **Voice Description**: Describe your desired voice characteristics - **Text**: Your script with optional emotion tags - Click inside to edit with full keyboard support - Press **Enter** for new line, **Ctrl+Enter** to save, **Escape** to cancel **Emotion Tags** (Collapsible Grid) - 16 emotion buttons in 4×4 grid - Click any emotion to insert tag at cursor position - Tags insert where you're typing, not just at the end - Click header to collapse/expand section **⛶ Professional HTML Modal** (Bottom right of Text field) - Click the expand button (⛶) for fullscreen text editing - Native HTML textarea with proper newline and whitespace support - **Font Size Slider**: Adjust text size from 12px to 20px with visual A/A controls - All 16 emotion buttons available inside modal for quick tag insertion - **Custom Themed Scrollbar**: Purple accents matching the node design - **Toast Notifications**: Green checkmark for "Text Saved", red X for validation errors - **Empty Text Validation**: Prevents saving blank text with helpful error message - **Keyboard Shortcuts**: - **Ctrl+Enter**: Save and close - **ESC**: Cancel without saving - Full text selection and clipboard support (Ctrl+A, C, V, X) - **Responsive Design**: Modal adapts to small and large screens, buttons always visible - **Visual Hints**: Subtle grey text under buttons showing keyboard shortcuts **Keyboard Shortcuts** (Inline Editing & Modal) - `Enter`: New line (in multiline text fields) - `Ctrl+Enter`: Save and apply changes - `Escape`: Cancel editing without saving - `Ctrl+A`: Select all text - `Ctrl+C/V/X`: Copy, paste, cut selected text - Click outside field: Auto-save (inline editing only)

Model Settings

**model_name** (dropdown) - Select from models in `ComfyUI/models/maya1-TTS/` - Model auto-discovered on startup **dtype** (dropdown) - `4bit`: NF4 quantization (~6GB VRAM, requires bitsandbytes, **SLOWER**) - `8bit`: INT8 quantization (~7GB VRAM, requires bitsandbytes, **SLOWER**) - `float16`: 16-bit half precision (~8-9GB VRAM, **FAST**, good quality) - `bfloat16`: 16-bit brain float (~8-9GB VRAM, **FAST**, recommended) - `float32`: 32-bit full precision (~16GB VRAM, highest quality, slower) ⚠️ **IMPORTANT:** Quantization (4-bit/8-bit) is **SLOWER** than float16/bfloat16! - Only use quantization if you have **limited VRAM** (<10GB) - If you have **10GB+ VRAM**, use **float16** or **bfloat16** for best speed **attention_mechanism** (dropdown) - `sdpa`: PyTorch SDPA (**default**, fastest for single TTS) - `flash_attention_2`: Flash Attention 2 (batch inference) - `sage_attention`: Sage Attention (memory efficient) **device** (dropdown) - `cuda`: Use GPU (recommended) - `cpu`: Use CPU (slower)

Voice & Text Settings

**voice_description** Describe the voice using natural language. Click inside to edit or use character presets. **Example:** ``` Realistic male voice in the 30s with American accent. Normal pitch, warm timbre, conversational pacing. ``` **Voice Components:** - **Age**: `in their 20s`, `30s`, `40s`, `50s` - **Gender**: `Male voice`, `Female voice` - **Accent**: `American`, `British`, `Australian`, `Indian`, `Middle Eastern` - **Pitch**: `high pitch`, `normal pitch`, `low pitch` - **Timbre**: `warm`, `gravelly`, `smooth`, `raspy` - **Pacing**: `fast pacing`, `conversational`, `slow pacing` - **Tone**: `happy`, `angry`, `curious`, `energetic`, `calm` **💡 Tip**: Use character presets for quick voice templates! **text** Text to synthesize with optional emotion tags. Click emotion buttons to insert tags at cursor. **Example:** ``` Hello! This is Maya1 the best open source voice AI! ``` **💡 Tip**: Click ⛶ expand button for longform text editing in fullscreen modal!

Generation Settings

**keep_model_in_vram** (boolean) - `True`: Keep model loaded for faster repeated generations - `False`: Clear VRAM after generation (saves memory) - Auto-clears when dtype changes **chunk_longform** (boolean) ⚠️ EXPERIMENTAL - `True`: Auto-split long text (>80 words) at sentences, combines audio - `False`: Generate entire text at once (may fail if too long) - **Note**: This feature is experimental and may have quality/timing issues **temperature** (0.1-2.0, default: 0.4) - Lower = more consistent - Higher = more varied/creative **top_p** (0.1-1.0, default: 0.9) - Nucleus sampling parameter - 0.9 recommended for natural speech **max_tokens** (100-8000, default: 2000) - Maximum audio tokens to generate - Higher = longer audio **repetition_penalty** (1.0-2.0, default: 1.1) - Reduces repetitive speech - 1.1 is good default **seed** (integer, default: 0) - Use same seed for reproducible results - Use ComfyUI's control_after_generate for random/increment

Outputs

**audio** (ComfyUI AUDIO type) - 24kHz mono audio - Compatible with all ComfyUI audio nodes - Connect to PreviewAudio, SaveAudio, etc.

--- ### Node: Maya1 TTS (AIO) Barebones Standard ComfyUI widgets version for users experiencing JavaScript rendering issues. **When to use Barebones:** - Custom UI shows as a black box - Browser console shows JavaScript errors - You prefer simple, standard ComfyUI widgets - Working with older ComfyUI versions **Inputs (in order):** 1. **voice_description** (multiline text) - Describe voice characteristics in natural language - Same as main node, just standard text box 2. **text** (multiline text) - Your script with manual emotion tags like `` or `` - Type emotion tags manually (no visual buttons in barebones version) 3. **model_name** (dropdown) - Select Maya1 model from `ComfyUI/models/maya1-TTS/` 4. **dtype** (dropdown) - `4bit (BNB)`, `8bit (BNB)`, `float16`, `bfloat16`, `float32` 5. **attention_mechanism** (dropdown) - `sdpa` (default), `flash_attention_2`, `sage_attention` 6. **device** (dropdown) - `cuda` (GPU) or `cpu` 7. **keep_model_in_vram** (boolean toggle) - Keep model loaded for faster subsequent generations 8. **chunk_longform** (boolean toggle) - Split long text with crossfading for unlimited length 9. **max_tokens** (integer) - Max SNAC tokens per chunk (default: 4000) 10. **temperature** (float) - Generation randomness (default: 0.4) 11. **top_p** (float) - Nucleus sampling (default: 0.9) 12. **repetition_penalty** (float) - Reduce repetition (default: 1.1) 13. **seed** (integer) - 0 = random, or set specific seed for reproducibility - Use control_after_generate widget for seed management **All other features (model loading, VRAM management, chunking, progress tracking) work identically to the main node.** --- ## 🎭 Emotion Tags Add emotions anywhere in your text using `` syntax, or click the visual emotion buttons in the UI! **Examples:** ``` Hello! This is amazing I can't believe it! ``` ``` After all we went through I can't believe he was the traitor. ``` ``` Wow! This place looks incredible! ```

All 16 Available Emotions (Click to expand)

**Laughter & Joy:** - `` - Normal laugh - `` - Intense laughing - `` - Light giggling - `` - Soft chuckle **Sadness & Sighs:** - `` - Crying - `` - Sighing **Surprise & Breath:** - `` - Surprised gasp - `` - Excited tone **Intensity & Emotion:** - `` - Whispering - `` - Angry tone - `` - Screaming - `` - Sarcastic delivery **Natural Sounds:** - `` - Snorting - `` - Exhaling - `` - Gulping - `` - Singing

**💡 Tip:** Click emotion buttons in the node UI to insert tags at cursor position! --- ## 🎬 Example Character Speeches

Generative AI & ComfyUI Examples (Click to expand)

### Example 1: Excited AI Researcher **Voice Description:** ``` Female voice in her 30s with American accent. High pitch, energetic tone at high intensity, fast pacing. ``` **Text:** ``` Oh my god! Have you seen the new Stable Diffusion model in ComfyUI? The quality is absolutely incredible! I just generated a photorealistic portrait in like 20 seconds. This is game-changing for our workflow! ``` --- ### Example 2: Skeptical Developer **Voice Description:** ``` Male voice in his 40s with British accent. Low pitch, calm tone, conversational pacing. ``` **Text:** ``` I've been testing this new node pack in ComfyUI and honestly, I'm impressed. At first I was skeptical about the whole generative AI hype, but the control you get with custom nodes is remarkable. This changes everything. ``` --- ### Example 3: Enthusiastic Tutorial Creator **Voice Description:** ``` Female voice in her 20s with Australian accent. Normal pitch, warm timbre, energetic tone at medium intensity. ``` **Text:** ``` Hey everyone! Welcome back to my ComfyUI tutorial series! Today we're diving into the most powerful image generation workflow I've ever seen. You're not gonna believe how easy this is! Let's get started! ``` --- ### Example 4: Frustrated Beginner **Voice Description:** ``` Male voice in his 30s with American accent. Normal pitch, stressed tone at medium intensity, fast pacing. ``` **Text:** ``` Why won't this workflow run? I've connected all the nodes exactly like the tutorial showed! Wait... Oh no. I forgot to load the checkpoint model. Classic beginner mistake! Okay, let's try this again. ``` --- ### Example 5: Amazed AI Artist **Voice Description:** ``` Female voice in her 40s with Indian accent. Normal pitch, curious tone, slow pacing, dramatic delivery. ``` **Text:** ``` When I first discovered ComfyUI I thought it was just another image generator. But then I realized you can chain workflows together, use custom models, and even generate animations! This is the future of digital art! ``` --- ### Example 6: Confident AI Entrepreneur **Voice Description:** ``` Male voice in his 50s with Middle Eastern accent. Low pitch, gravelly timbre, slow pacing, confident tone at high intensity. ``` **Text:** ``` The generative AI revolution is here. ComfyUI gives us the tools to build production-ready workflows. While others are still playing with web UIs, we're automating entire creative pipelines. This is how you stay ahead of the curve. ```

--- ## ⚙️ Advanced Configuration

Attention Mechanisms Comparison

| Mechanism | Speed | Memory | Best For | Requirements | |-----------|-------|--------|----------|--------------| | **SDPA** | ⚡⚡⚡ | Good | Single TTS generation | PyTorch ≥2.0 | | **Flash Attention 2** | ⚡⚡ | Good | Batch processing | flash-attn, CUDA | | **Sage Attention** | ⚡⚡ | Excellent | Long sequences | sageattention | **Why is SDPA fastest for TTS?** - Optimized for single-sequence autoregressive generation - Lower kernel launch overhead (~20μs vs 50-60μs) - Flash/Sage Attention shine with batch size ≥8 **Recommendation:** Use **SDPA** (default) for single audio generation.

Quantization Details

⚠️ **CRITICAL: Quantization is SLOWER than fp16/bf16!** ### Memory Usage (Maya1 3B Model) | Dtype | VRAM Usage | Speed | Quality | |-------|------------|-------|---------| | **4-bit NF4** | ~6GB | Slow ⚡ | Good (slight loss) | | **8-bit INT8** | ~7GB | Slow ⚡ | Excellent (minimal loss) | | **float16** | ~8-9GB | **Fast** ⚡⚡⚡ | Excellent | | **bfloat16** | ~8-9GB | **Fast** ⚡⚡⚡ | Excellent | | **float32** | ~16GB | Medium ⚡⚡ | Perfect | ### 4-bit NF4 Quantization **Features:** - Uses NormalFloat4 (NF4) for best 4-bit quality - Double quantization (nested) for better accuracy - Memory savings: ~6GB (vs ~8-9GB for fp16) **When to use:** - You have **limited VRAM** (8GB or less GPU) - Speed is not critical (inference is slower due to dequantization) - Need to fit model in smaller VRAM **When NOT to use:** - You have 10GB+ VRAM → Use float16/bfloat16 instead for better speed! ### 8-bit INT8 Quantization **Features:** - Standard 8-bit integer quantization - Memory savings: ~7GB (vs ~8-9GB for fp16) - Minimal quality impact **When to use:** - You have moderate VRAM constraints (8-10GB GPU) - Want good quality with some memory savings - Speed is not critical **When NOT to use:** - You have 10GB+ VRAM → Use float16/bfloat16 instead for better speed! ### Why is Quantization Slower? Quantized models require **dequantization** on every forward pass: 1. Model weights stored in 4-bit/8-bit 2. Weights dequantized to fp16 for computation 3. Computation happens in fp16 4. Extra overhead = slower inference **Recommendation:** Only use quantization if you truly need the memory savings! ### Automatic Dtype Switching The node automatically clears VRAM when you switch dtypes: ``` 🔄 Dtype changed from bfloat16 to 4bit Clearing cache to reload model... ``` This prevents dtype mismatch errors and ensures correct quantization.

Console Progress Output

Real-time generation statistics in the console: ``` 🎲 Seed: 1337 🎵 Generating speech (max 2000 tokens)... Tokens: 500/2000 | Speed: 12.45 it/s | Elapsed: 40.2s ✅ Generated 1500 tokens in 120.34s (12.47 it/s) ``` **it/s** = iterations per second (tokens/second)

--- ## 🐛 Troubleshooting

Node Shows as Black Box (JavaScript Issues)

**Issue:** Maya1 TTS (AIO) node appears completely black with no widgets visible. **Quick Fix:** Use **Maya1 TTS (AIO) Barebones** instead! - Same functionality, standard ComfyUI widgets only - No custom JavaScript required - Find it under: Add Node → audio → Maya1 TTS (AIO) Barebones **Debugging Steps:** 1. Open browser DevTools (F12) → Console tab 2. Look for JavaScript errors mentioning "maya1" or "Unexpected token" 3. Try hard refresh: Ctrl+Shift+R (Windows/Linux) or Cmd+Shift+R (Mac) 4. Clear browser cache completely 5. Test in incognito/private window 6. Check if maya1_tts.js loads in Network tab (should be 200 status) 7. Disable browser extensions (ad blockers, script blockers) 8. Update ComfyUI to latest version **Note:** The barebones version is specifically designed for this issue!

Model Not Found

**Error:** `No valid Maya1 models found` **Solutions:** 1. Check model location: `ComfyUI/models/maya1-TTS/` 2. Download model (see Installation section) 3. Restart ComfyUI 4. Check console for model discovery messages

Out of Memory (OOM)

**Error:** `CUDA out of memory` **Memory requirements:** - 4-bit: ~6GB VRAM (slower) - 8-bit: ~7GB VRAM (slower) - float16/bfloat16: ~8-9GB VRAM (fast, recommended) - float32: ~16GB VRAM **Solutions (try in order):** 1. Use **4-bit** dtype if you have ≤8GB VRAM (~6GB usage) 2. Use **8-bit** dtype if you have ~8-10GB VRAM (~7GB usage) 3. Use **float16** if you have 10GB+ VRAM (faster than quantization!) 4. Enable `keep_model_in_vram=False` to free VRAM after generation 5. Reduce `max_tokens` to 1000-1500 6. Close other VRAM-heavy applications 7. Use CPU (much slower but works) **Note:** If you have 10GB+ VRAM, use float16/bfloat16 for best speed!

Quantization Errors **Error:** `bitsandbytes not found` **Solution:** ```bash pip install bitsandbytes>=0.41.0 ``` **Error:** `Quantization requires CUDA` **Solution:** - 4-bit/8-bit only work on CUDA - Switch to `float16`/`bfloat16` for CPU

No Audio Generated

**Error:** `No SNAC audio tokens generated!` **Solutions:** 1. Increase `max_tokens` to 2000-4000 2. Adjust `temperature` to 0.3-0.5 3. Simplify voice description 4. Check text isn't too long 5. Try different seed value

Flash Attention Installation Failed

**Error:** `flash-attn` won't install **Solution:** - Flash Attention requires CUDA and specific setup - Just use **SDPA** instead (works great, actually faster for TTS!) - SDPA is the recommended default

Info Button Not Visible

**Issue:** Can't see the "?" or "i" icon, only hover tooltip **Answer:** This is **normal** and working correctly! - ComfyUI's `DESCRIPTION` creates a hover tooltip - Some ComfyUI versions show no visible icon - Just hover over the node title area to see help - Contains all emotion tags and usage examples

--- ## 📊 Performance Tips 1. **Use float16/bfloat16** if you have 10GB+ VRAM (fastest!) 2. **Use quantization (4-bit/8-bit)** ONLY if limited VRAM (<10GB) - slower but fits in memory 3. **Keep SDPA** as attention mechanism (fastest for single TTS) 4. **Enable model caching** (`keep_model_in_vram=True`) for multiple generations 5. **Optimize max_tokens**: Start with 1500-2000 6. **Batch similar requests** with same voice description for efficiency ⚠️ **Speed ranking:** float16/bfloat16 (fastest) > float32 > 8-bit > 4-bit (slowest) --- ## 🏗️ Technical Details

Architecture

- **Model**: 3B-parameter Llama-based transformer - **Audio Codec**: SNAC (Speech Neural Audio Codec) - **Sample Rate**: 24kHz mono - **Frame Structure**: 7 tokens per frame (3 hierarchical levels) - **Token Ranges**: - SNAC tokens: 128266-156937 - Text EOS: 128009 - SNAC EOS: 128258 - **Compression**: ~0.98 kbps streaming

File Structure

``` ComfyUI-Maya1_TTS/ ├── __init__.py # Node registration ├── nodes/ │ ├── __init__.py │ └── maya1_tts_combined.py # AIO node (backend) ├── js/ │ ├── maya1_tts.js # Custom canvas UI (1800+ lines) │ └── config.js # UI config (presets, emotions, tooltips) ├── core/ │ ├── model_wrapper.py # Model loading & quantization │ ├── snac_decoder.py # SNAC audio decoding │ └── utils.py # Utilities & cancel support ├── resources/ │ ├── emotions.txt # 16 emotion tags │ └── prompt_examples.txt # Voice description examples ├── pyproject.toml # Package metadata ├── requirements.txt # Dependencies └── README.md # This file ```

ComfyUI Integration

- **Custom Canvas UI**: Full JavaScript UI with LiteGraph.js canvas API - **Cancel Support**: Native `execution.interruption_requested()` - **Progress Bars**: `comfy.utils.ProgressBar` - **Audio Format**: ComfyUI AUDIO type (24kHz mono) - **Model Caching**: Automatic with dtype change detection - **VRAM Management**: Manual control via toggle - **Event Handling**: Document-level keyboard/mouse capture for proper text editing - **Visual Feedback**: Real-time tooltips, animations, and hover states

--- ## 📝 Credits - **Maya1 Model**: [Maya Research](https://www.mayaresearch.ai/) - **HuggingFace**: [maya-research/maya1](https://huggingface.co/maya-research/maya1) - **SNAC Codec**: [hubertsiuzdak/snac](https://github.com/hubertsiuzdak/snac) - **ComfyUI**: [comfyanonymous/ComfyUI](https://github.com/comfyanonymous/ComfyUI) --- ## 📄 License Apache 2.0 - See [LICENSE](https://github.com/Saganaki22/ComfyUI-Maya1_TTS/raw/main/LICENSE) Maya1 model is also licensed under Apache 2.0 by Maya Research. --- ## 🔗 Links - **Issues**: [GitHub Issues](https://github.com/Saganaki22/-ComfyUI-Maya1_TTS/issues) - **Maya Research**: [Website](https://www.mayaresearch.ai/) | [Twitter](https://twitter.com/mayaresearch_ai) - **Model Page**: [HuggingFace](https://huggingface.co/maya-research/maya1) --- ## 📖 Citation If you use Maya1 in your research, please cite: ```bibtex @misc{maya1voice2025, title={Maya1: Open Source Voice AI with Emotional Intelligence}, author={Maya Research}, year={2025}, publisher={Hugging Face}, howpublished={\url{https://huggingface.co/maya-research/maya1}}, } ``` --- *Bringing expressive voice AI to everyone through open source.*