fix: align pyproject.toml format with working registry publish

- license: use { text = "GPL-3.0-only" } (matches comfy-cli expectation)
- add dependencies = []

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

.github/workflows/publish.yml

@@ -0,0 +1,16 @@
+name: Publish to ComfyUI Registry
+
+on:
+  push:
+    tags:
+      - "v*"
+
+jobs:
+  publish:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      - name: Publish to ComfyUI Registry
+        uses: Comfy-Org/publish-node-action@main
+        with:
+          personal_access_token: ${{ secrets.REGISTRY_ACCESS_TOKEN }}

LICENSE

@@ -0,0 +1,674 @@
+                    GNU GENERAL PUBLIC LICENSE
+                       Version 3, 29 June 2007
+
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+  THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
+APPLICABLE LAW.  EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
+HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
+OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
+THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
+PURPOSE.  THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
+IS WITH YOU.  SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
+ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
+
+  16. Limitation of Liability.
+
+  IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
+WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
+THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
+GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
+USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
+DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
+PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
+EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
+SUCH DAMAGES.
+
+  17. Interpretation of Sections 15 and 16.
+
+  If the disclaimer of warranty and limitation of liability provided
+above cannot be given local legal effect according to their terms,
+reviewing courts shall apply local law that most closely approximates
+an absolute waiver of all civil liability in connection with the
+Program, unless a warranty or assumption of liability accompanies a
+copy of the Program in return for a fee.
+
+                     END OF TERMS AND CONDITIONS
+
+            How to Apply These Terms to Your New Programs
+
+  If you develop a new program, and you want it to be of the greatest
+possible use to the public, the best way to achieve this is to make it
+free software which everyone can redistribute and change under these terms.
+
+  To do so, attach the following notices to the program.  It is safest
+to attach them to the start of each source file to most effectively
+state the exclusion of warranty; and each file should have at least
+the "copyright" line and a pointer to where the full notice is found.
+
+    <one line to give the program's name and a brief idea of what it does.>
+    Copyright (C) <year>  <name of author>
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+Also add information on how to contact you by electronic and paper mail.
+
+  If the program does terminal interaction, make it output a short
+notice like this when it starts in an interactive mode:
+
+    <program>  Copyright (C) <year>  <name of author>
+    This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
+    This is free software, and you are welcome to redistribute it
+    under certain conditions; type `show c' for details.
+
+The hypothetical commands `show w' and `show c' should show the appropriate
+parts of the General Public License.  Of course, your program's commands
+might be different; for a GUI interface, you would use an "about box".
+
+  You should also get your employer (if you work as a programmer) or school,
+if any, to sign a "copyright disclaimer" for the program, if necessary.
+For more information on this, and how to apply and follow the GNU GPL, see
+<https://www.gnu.org/licenses/>.
+
+  The GNU General Public License does not permit incorporating your program
+into proprietary programs.  If your program is a subroutine library, you
+may consider it more useful to permit linking proprietary applications with
+the library.  If this is what you want to do, use the GNU Lesser General
+Public License instead of this License.  But first, please read
+<https://www.gnu.org/licenses/why-not-lgpl.html>.

README.md

@@ -7,6 +7,9 @@ A ComfyUI custom node for [OmniVoice](https://github.com/k2-fsa/OmniVoice) — a
 - **Voice Cloning** — clone any voice from a short reference audio clip
 - **Voice Design** — describe a voice with text (e.g. "female, low pitch, british accent")
 - **Auto Voice** — let the model pick a voice automatically
+- **Voice Presets** — built-in curated reference voices, ready to use without any audio file
+- **Voice Mixing** — blend two or three reference voices for a hybrid speaker
+- **EPUB Loader** — load chapters from an ebook directly into the pipeline
 - **Audiobook-ready** — handles arbitrarily long text with near-constant VRAM via built-in chunking
 - **Multilingual** — 600+ languages
 
@@ -33,15 +36,13 @@ A ComfyUI custom node for [OmniVoice](https://github.com/k2-fsa/OmniVoice) — a
 
 ### OmniVoice Model Loader
 
-Loads the OmniVoice model. Downloads automatically from HuggingFace on first run and caches locally.
+Loads the OmniVoice model. Downloads automatically from HuggingFace on first run and caches to `ComfyUI/models/omnivoice/`.
 
 | Input | Type | Description |
 |-------|------|-------------|
 | `device` | dropdown | `cuda:0`, `cuda:1`, or `cpu` |
 | `dtype` | dropdown | `float16`, `bfloat16`, or `float32` |
 
-Downloads automatically from HuggingFace on first run and caches to `ComfyUI/models/omnivoice/`.
-
 **Output:** `OMNIVOICE_MODEL`
 
 ---
@@ -56,25 +57,99 @@ Generates speech from text using a loaded model.
 | `text` | string | Text to synthesize (full pages supported) |
 | `mode` | dropdown | `voice_cloning`, `voice_design`, or `auto_voice` |
 | `ref_audio` | AUDIO | Reference audio for voice cloning (optional) |
-| `ref_text` | string | Transcription of ref audio — auto-detected if blank (optional) |
+| `ref_text` | string | Transcription of ref audio — connect a Whisper node for best results (optional) |
 | `instruct` | string | Voice description for voice design mode (optional) |
 | `speed` | float | Speed multiplier — default 1.0 |
 | `num_step` | int | Diffusion steps — default 32 (use 16 for faster generation) |
+| `seed` | int | Diffusion seed — set the same value across all Generate nodes in an audiobook pipeline to keep the voice consistent. 0 = random |
 
 **Output:** `AUDIO` at 24kHz — connects directly to ComfyUI's Save Audio node.
 
-## Example Workflow (Audiobook)
+---
+
+### OmniVoice Voice Preset
+
+Pre-fetched reference voices. Audio is downloaded once and cached to `ComfyUI/models/omnivoice/presets/`.
+
+| Input | Type | Description |
+|-------|------|-------------|
+| `preset` | dropdown | Choose from built-in voices |
+
+**Outputs:** `ref_audio` (AUDIO), `ref_text` (STRING) — wire directly into OmniVoice Generate.
+
+Available presets:
+
+| Name | Gender | Style |
+|------|--------|-------|
+| Shadowheart | Female | Expressive |
+| American actress | Female | Theatrical |
+| Podcast host | Female | Casual |
+| Nature | Male | Warm |
+| Old Hollywood | Male | Classic |
+| Rick Sanchez | Male | Casual |
+| Stewie Griffin | Male | Precise |
+| Harvey Keitel | Male | Intense |
+| Conan O'Brien | Male | Comedy |
+
+---
+
+### OmniVoice Mix Voices
+
+Concatenates two or three reference audio clips to create a blended speaker. The model extracts a speaker embedding from the combined clip, producing a hybrid voice.
+
+| Input | Type | Description |
+|-------|------|-------------|
+| `audio_1` | AUDIO | First reference voice (required) |
+| `audio_2` | AUDIO | Second reference voice (required) |
+| `weight_1` | float | Duration weight for audio_1 (0.0–1.0) |
+| `weight_2` | float | Duration weight for audio_2 (0.0–1.0) |
+| `audio_3` | AUDIO | Third reference voice (optional) |
+| `weight_3` | float | Duration weight for audio_3 (optional) |
+| `text_1/2/3` | string | Transcripts for each clip — merged into ref_text output |
+
+**Outputs:** `ref_audio` (AUDIO), `ref_text` (STRING) — wire directly into OmniVoice Generate.
+
+Weight controls how much of each clip's duration ends up in the mix. Equal weights (1.0 / 1.0) is a good starting point.
+
+---
+
+### OmniVoice EPUB Loader
+
+Loads an EPUB file and outputs selected chapters as plain text, ready to pipe into OmniVoice Generate.
+
+| Input | Type | Description |
+|-------|------|-------------|
+| `epub_path` | string | Absolute path to the `.epub` file |
+| `chapter_start` | int | First chapter to include (1-indexed) |
+| `chapter_end` | int | Last chapter to include (inclusive, auto-clamped) |
+
+**Outputs:** `text` (STRING) — selected chapters joined by `---`, `chapter_list` (STRING) — numbered list of all chapter titles for reference.
+
+## Default Workflow
+
+A ready-to-use workflow is included at `workflows/voice_cloning.json`:
 
 ```
-[OmniVoice Model Loader] ─────────────────────────┐
-                                                    ▼
-[Load Audio (narrator clip)] ──► [OmniVoice Generate] ──► [Save Audio]
-                                        ▲
-                              text = "Page 1 content..."
-                              mode = voice_cloning
+[OmniVoice Model Loader] ──────────────────────────────────┐
+                                                            ▼
+[OmniVoice Voice Preset] ──► ref_audio ──► [OmniVoice Generate] ──► [Save Audio]
+                         └──► ref_text ──►
 ```
 
-Repeat the Generate + Save Audio nodes for each page, reusing the same loader.
+Load it via ComfyUI → Load Workflow.
+
+## Audiobook Pipeline
+
+For multi-chapter audiobooks, use the same seed across all Generate nodes to keep the voice consistent between paragraphs:
+
+```
+[OmniVoice Model Loader] ──────────────────────────────────────────┐
+                                                                    ▼
+[OmniVoice EPUB Loader] ──► chapter text ──► [OmniVoice Generate] ──► [Save Audio]
+                                                      ▲
+[OmniVoice Voice Preset] ──► ref_audio / ref_text ──►
+                              seed = 42 (fixed)
+```
 
 ## Credits
 

__init__.py

@@ -1,10 +1,11 @@
-from .nodes import OmniVoiceModelLoader, OmniVoiceGenerate, OmniVoiceEpubLoader, OmniVoiceVoicePreset
+from .nodes import OmniVoiceModelLoader, OmniVoiceGenerate, OmniVoiceEpubLoader, OmniVoiceVoicePreset, OmniVoiceMixVoices
 
 NODE_CLASS_MAPPINGS = {
     "OmniVoiceModelLoader": OmniVoiceModelLoader,
     "OmniVoiceGenerate": OmniVoiceGenerate,
     "OmniVoiceEpubLoader": OmniVoiceEpubLoader,
     "OmniVoiceVoicePreset": OmniVoiceVoicePreset,
+    "OmniVoiceMixVoices": OmniVoiceMixVoices,
 }
 
 NODE_DISPLAY_NAME_MAPPINGS = {
@@ -12,6 +13,7 @@ NODE_DISPLAY_NAME_MAPPINGS = {
     "OmniVoiceGenerate": "OmniVoice Generate",
     "OmniVoiceEpubLoader": "OmniVoice EPUB Loader",
     "OmniVoiceVoicePreset": "OmniVoice Voice Preset",
+    "OmniVoiceMixVoices": "OmniVoice Mix Voices",
 }
 
 __all__ = ["NODE_CLASS_MAPPINGS", "NODE_DISPLAY_NAME_MAPPINGS"]

nodes/__init__.py

@@ -2,5 +2,6 @@ from .loader import OmniVoiceModelLoader
 from .generator import OmniVoiceGenerate
 from .epub_loader import OmniVoiceEpubLoader
 from .voice_presets import OmniVoiceVoicePreset
+from .mix_voices import OmniVoiceMixVoices
 
-__all__ = ["OmniVoiceModelLoader", "OmniVoiceGenerate", "OmniVoiceEpubLoader", "OmniVoiceVoicePreset"]
+__all__ = ["OmniVoiceModelLoader", "OmniVoiceGenerate", "OmniVoiceEpubLoader", "OmniVoiceVoicePreset", "OmniVoiceMixVoices"]

nodes/loader.py

@@ -33,6 +33,18 @@ class OmniVoiceModelLoader:
                     ["float16", "bfloat16", "float32"],
                     {"default": "float16"},
                 ),
+                "compile": (
+                    "BOOLEAN",
+                    {
+                        "default": False,
+                        "tooltip": (
+                            "Run torch.compile() on the model after loading. "
+                            "First generation will be slow (~30-60s warmup) while the graph is compiled, "
+                            "then every subsequent generation in the session will be faster. "
+                            "Recommended for audiobook pipelines. Requires PyTorch 2.0+."
+                        ),
+                    },
+                ),
             },
         }
 
@@ -41,7 +53,7 @@ class OmniVoiceModelLoader:
     FUNCTION = "load_model"
     CATEGORY = "OmniVoice"
 
-    def load_model(self, device, dtype):
+    def load_model(self, device, dtype, compile=False):
         if OmniVoice is None:
             raise ImportError(
                 "omnivoice is not installed. Run: pip install omnivoice --no-deps"
@@ -53,4 +65,6 @@ class OmniVoiceModelLoader:
             dtype=DTYPE_MAP[dtype],
             cache_dir=CACHE_DIR,
         )
+        if compile:
+            model = torch.compile(model)
         return (model,)

nodes/mix_voices.py

@@ -0,0 +1,120 @@
+import torch
+
+
+def _to_mono(waveform):
+    """(1, channels, samples) → (1, 1, samples)"""
+    if waveform.shape[1] > 1:
+        return waveform.mean(dim=1, keepdim=True)
+    return waveform
+
+
+def _resample(waveform, src_sr, dst_sr):
+    """Resample waveform tensor (1, 1, samples) to dst_sr."""
+    if src_sr == dst_sr:
+        return waveform
+    try:
+        import torchaudio
+        # Resample expects (channels, samples), not (batch, channels, samples)
+        resampler = torchaudio.transforms.Resample(orig_freq=src_sr, new_freq=dst_sr)
+        return resampler(waveform.squeeze(0)).unsqueeze(0)
+    except ImportError:
+        ratio = dst_sr / src_sr
+        new_len = int(waveform.shape[-1] * ratio)
+        return torch.nn.functional.interpolate(
+            waveform.float(), size=new_len, mode='linear', align_corners=False
+        )
+
+
+class OmniVoiceMixVoices:
+    """Concatenate two (or three) reference voices to create a blended speaker embedding."""
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "audio_1": ("AUDIO", {
+                    "tooltip": "First reference voice.",
+                }),
+                "audio_2": ("AUDIO", {
+                    "tooltip": "Second reference voice.",
+                }),
+                "weight_1": ("FLOAT", {
+                    "default": 1.0, "min": 0.0, "max": 1.0, "step": 0.05,
+                    "tooltip": "Relative duration weight for audio_1. Higher = more of this voice in the mix.",
+                }),
+                "weight_2": ("FLOAT", {
+                    "default": 1.0, "min": 0.0, "max": 1.0, "step": 0.05,
+                    "tooltip": "Relative duration weight for audio_2.",
+                }),
+            },
+            "optional": {
+                "audio_3": ("AUDIO", {
+                    "tooltip": "Optional third reference voice.",
+                }),
+                "weight_3": ("FLOAT", {
+                    "default": 1.0, "min": 0.0, "max": 1.0, "step": 0.05,
+                    "tooltip": "Relative duration weight for audio_3.",
+                }),
+                "text_1": ("STRING", {
+                    "default": "",
+                    "tooltip": "Transcript for audio_1.",
+                }),
+                "text_2": ("STRING", {
+                    "default": "",
+                    "tooltip": "Transcript for audio_2.",
+                }),
+                "text_3": ("STRING", {
+                    "default": "",
+                    "tooltip": "Transcript for audio_3 (optional).",
+                }),
+            },
+        }
+
+    RETURN_TYPES = ("AUDIO", "STRING")
+    RETURN_NAMES = ("ref_audio", "ref_text")
+    FUNCTION = "mix"
+    CATEGORY = "OmniVoice"
+
+    def mix(self, audio_1, audio_2, weight_1=1.0, weight_2=1.0,
+            audio_3=None, weight_3=1.0,
+            text_1="", text_2="", text_3=""):
+
+        audios = [audio_1, audio_2]
+        weights = [weight_1, weight_2]
+        texts = [text_1, text_2]
+        if audio_3 is not None:
+            audios.append(audio_3)
+            weights.append(weight_3)
+            texts.append(text_3)
+
+        # Use the highest sample rate among inputs as target
+        target_sr = max(a["sample_rate"] for a in audios)
+
+        clips = []
+        for audio, weight in zip(audios, weights):
+            w = _to_mono(audio["waveform"])           # (1, 1, samples)
+            w = _resample(w, audio["sample_rate"], target_sr)
+            clips.append((w, weight))
+
+        # Each clip contributes (natural_length * weight) samples.
+        trimmed = []
+        for clip, weight in clips:
+            n_samples = int(clip.shape[-1] * weight)
+            if n_samples <= 0:
+                continue
+            src_len = clip.shape[-1]
+            if src_len >= n_samples:
+                trimmed.append(clip[..., :n_samples])
+            else:
+                reps = (n_samples // src_len) + 1
+                tiled = clip.repeat(1, 1, reps)
+                trimmed.append(tiled[..., :n_samples])
+
+        if not trimmed:
+            raise ValueError("OmniVoice Mix Voices: all weights are 0 — nothing to mix.")
+
+        mixed = torch.cat(trimmed, dim=-1)  # (1, 1, total_samples)
+
+        merged_text = " ".join(t.strip() for t in texts if t.strip())
+
+        return ({"waveform": mixed, "sample_rate": target_sr}, merged_text)

pyproject.toml

@@ -0,0 +1,14 @@
+[project]
+name = "comfyui-omnivoice"
+description = "ComfyUI nodes for OmniVoice — multilingual zero-shot TTS with voice cloning, voice design, EPUB loading, and voice mixing."
+version = "1.0.0"
+license = { text = "GPL-3.0-only" }
+dependencies = []
+
+[project.urls]
+Repository = "https://github.com/ethanfel/ComfyUI-Omnivoice"
+
+[tool.comfy]
+PublisherId = "ethanfel"
+DisplayName = "ComfyUI-Omnivoice"
+Icon = ""

workflows/omnivoice_voice_cloning.json

@@ -0,0 +1,247 @@
+{
+  "id": "85925298-bd01-4df7-b8e5-ac92f9d6582e",
+  "revision": 0,
+  "last_node_id": 6,
+  "last_link_id": 9,
+  "nodes": [
+    {
+      "id": 1,
+      "type": "OmniVoiceModelLoader",
+      "pos": [
+        32,
+        96
+      ],
+      "size": [
+        320,
+        160
+      ],
+      "flags": {},
+      "order": 0,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "model",
+          "type": "OMNIVOICE_MODEL",
+          "slot_index": 0,
+          "links": [
+            5
+          ]
+        }
+      ],
+      "properties": {
+        "aux_id": "ethanfel/ComfyUI-Omnivoice",
+        "ver": "9b62c9bda8469171025709e2fae3ce877ee0f059",
+        "Node name for S&R": "OmniVoiceModelLoader",
+        "ue_properties": {
+          "widget_ue_connectable": {},
+          "version": "7.8",
+          "input_ue_unconnectable": {}
+        }
+      },
+      "widgets_values": [
+        "cuda:0",
+        "float16",
+        false
+      ]
+    },
+    {
+      "id": 2,
+      "type": "OmniVoiceVoicePreset",
+      "pos": [
+        32,
+        320
+      ],
+      "size": [
+        320,
+        128
+      ],
+      "flags": {},
+      "order": 1,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "ref_audio",
+          "type": "AUDIO",
+          "slot_index": 0,
+          "links": [
+            6
+          ]
+        },
+        {
+          "name": "ref_text",
+          "type": "STRING",
+          "slot_index": 1,
+          "links": [
+            7
+          ]
+        }
+      ],
+      "properties": {
+        "aux_id": "ethanfel/ComfyUI-Omnivoice",
+        "ver": "9b62c9bda8469171025709e2fae3ce877ee0f059",
+        "Node name for S&R": "OmniVoiceVoicePreset",
+        "ue_properties": {
+          "widget_ue_connectable": {},
+          "version": "7.8",
+          "input_ue_unconnectable": {}
+        }
+      },
+      "widgets_values": [
+        "Shadowheart – female, expressive (Chatterbox)"
+      ]
+    },
+    {
+      "id": 5,
+      "type": "OmniVoiceGenerate",
+      "pos": [
+        416,
+        96
+      ],
+      "size": [
+        384,
+        448
+      ],
+      "flags": {},
+      "order": 2,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "model",
+          "type": "OMNIVOICE_MODEL",
+          "link": 5
+        },
+        {
+          "name": "ref_audio",
+          "shape": 7,
+          "type": "AUDIO",
+          "link": 6
+        },
+        {
+          "name": "ref_text",
+          "shape": 7,
+          "type": "STRING",
+          "widget": {
+            "name": "ref_text"
+          },
+          "link": 7
+        }
+      ],
+      "outputs": [
+        {
+          "name": "audio",
+          "type": "AUDIO",
+          "links": [
+            9
+          ]
+        }
+      ],
+      "properties": {
+        "ue_properties": {
+          "widget_ue_connectable": {},
+          "input_ue_unconnectable": {}
+        },
+        "aux_id": "ethanfel/ComfyUI-Omnivoice",
+        "ver": "9b62c9bda8469171025709e2fae3ce877ee0f059",
+        "Node name for S&R": "OmniVoiceGenerate"
+      },
+      "widgets_values": [
+        "Hello! This is a test of the OmniVoice text-to-speech system.",
+        "voice_cloning",
+        "",
+        "",
+        1,
+        32,
+        42,
+        "fixed"
+      ]
+    },
+    {
+      "id": 6,
+      "type": "PreviewAudio",
+      "pos": [
+        832,
+        96
+      ],
+      "size": [
+        270,
+        88
+      ],
+      "flags": {},
+      "order": 3,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "audio",
+          "type": "AUDIO",
+          "link": 9
+        }
+      ],
+      "outputs": [],
+      "properties": {
+        "ue_properties": {
+          "widget_ue_connectable": {},
+          "input_ue_unconnectable": {}
+        },
+        "cnr_id": "comfy-core",
+        "ver": "0.18.1",
+        "Node name for S&R": "PreviewAudio"
+      },
+      "widgets_values": []
+    }
+  ],
+  "links": [
+    [
+      5,
+      1,
+      0,
+      5,
+      0,
+      "OMNIVOICE_MODEL"
+    ],
+    [
+      6,
+      2,
+      0,
+      5,
+      1,
+      "AUDIO"
+    ],
+    [
+      7,
+      2,
+      1,
+      5,
+      2,
+      "STRING"
+    ],
+    [
+      9,
+      5,
+      0,
+      6,
+      0,
+      "AUDIO"
+    ]
+  ],
+  "groups": [],
+  "config": {},
+  "extra": {
+    "ds": {
+      "scale": 1.201632379715383,
+      "offset": [
+        1340.797529638862,
+        246.44960712937743
+      ]
+    },
+    "ue_links": [],
+    "links_added_by_ue": [],
+    "frontendVersion": "1.42.8",
+    "VHS_latentpreview": true,
+    "VHS_latentpreviewrate": 0,
+    "VHS_MetadataImage": true,
+    "VHS_KeepIntermediate": true
+  },
+  "version": 0.4
+}

workflows/voice_cloning.json

@@ -1,84 +0,0 @@
-{
-  "last_node_id": 4,
-  "last_link_id": 4,
-  "nodes": [
-    {
-      "id": 1,
-      "type": "OmniVoiceModelLoader",
-      "pos": [40, 80],
-      "size": {"0": 300, "1": 100},
-      "flags": {},
-      "order": 0,
-      "mode": 0,
-      "outputs": [
-        {"name": "model", "type": "OMNIVOICE_MODEL", "links": [1], "shape": 3, "slot_index": 0}
-      ],
-      "properties": {"Node name for S&R": "OmniVoiceModelLoader"},
-      "widgets_values": ["cuda:0", "float16"]
-    },
-    {
-      "id": 2,
-      "type": "OmniVoiceVoicePreset",
-      "pos": [40, 240],
-      "size": {"0": 300, "1": 80},
-      "flags": {},
-      "order": 1,
-      "mode": 0,
-      "outputs": [
-        {"name": "ref_audio", "type": "AUDIO",  "links": [2], "shape": 3, "slot_index": 0},
-        {"name": "ref_text",  "type": "STRING", "links": [3], "shape": 3, "slot_index": 1}
-      ],
-      "properties": {"Node name for S&R": "OmniVoiceVoicePreset"},
-      "widgets_values": ["Shadowheart – female, expressive (Chatterbox)"]
-    },
-    {
-      "id": 3,
-      "type": "OmniVoiceGenerate",
-      "pos": [420, 80],
-      "size": {"0": 380, "1": 310},
-      "flags": {},
-      "order": 2,
-      "mode": 0,
-      "inputs": [
-        {"name": "model",     "type": "OMNIVOICE_MODEL", "link": 1, "slot_index": 0},
-        {"name": "ref_audio", "type": "AUDIO",           "link": 2, "slot_index": 1},
-        {"name": "ref_text",  "type": "STRING",          "link": 3, "slot_index": 2}
-      ],
-      "outputs": [
-        {"name": "audio", "type": "AUDIO", "links": [4], "shape": 3, "slot_index": 0}
-      ],
-      "properties": {"Node name for S&R": "OmniVoiceGenerate"},
-      "widgets_values": [
-        "Hello! This is a test of the OmniVoice text-to-speech system.",
-        "voice_cloning",
-        "",
-        1.0,
-        32
-      ]
-    },
-    {
-      "id": 4,
-      "type": "SaveAudio",
-      "pos": [880, 80],
-      "size": {"0": 300, "1": 100},
-      "flags": {},
-      "order": 3,
-      "mode": 0,
-      "inputs": [
-        {"name": "audio", "type": "AUDIO", "link": 4, "slot_index": 0}
-      ],
-      "properties": {"Node name for S&R": "SaveAudio"},
-      "widgets_values": ["omnivoice"]
-    }
-  ],
-  "links": [
-    [1, 1, 0, 3, 0, "OMNIVOICE_MODEL"],
-    [2, 2, 0, 3, 1, "AUDIO"],
-    [3, 2, 1, 3, 2, "STRING"],
-    [4, 3, 0, 4, 0, "AUDIO"]
-  ],
-  "groups": [],
-  "config": {},
-  "extra": {"ds": {"scale": 0.9, "offset": [0, 0]}},
-  "version": 0.4
-}