Commit ·
5277693
1
Parent(s): c4ce813
Add VoiceGate workflow assets and TODO
Browse files- docs/deployment-plan.md +6 -4
- docs/todo.md +114 -0
- workflows/voicegate_api.json +375 -0
- workflows/voicegate_ui.json +0 -0
docs/deployment-plan.md
CHANGED
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@@ -28,8 +28,9 @@ Current local state:
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- `VoiceGate/.gitmodules` references `comfyui_voicebridge`, but the local
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`VoiceGate/comfyui_voicebridge/` directory is currently empty.
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- `VoiceGate/workflows/VoiceGate-Workflow.json` is the UI workflow.
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-
- `VoiceGate/workflows/VoiceGate-Workflow_api.json` exists
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-
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## Hugging Face Space Constraints
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@@ -179,5 +180,6 @@ Verify in this order:
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## Immediate Next Step
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-
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-
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- `VoiceGate/.gitmodules` references `comfyui_voicebridge`, but the local
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`VoiceGate/comfyui_voicebridge/` directory is currently empty.
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- `VoiceGate/workflows/VoiceGate-Workflow.json` is the UI workflow.
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+
- `VoiceGate/workflows/VoiceGate-Workflow_api.json` exists and has been
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confirmed as valid JSON. It still needs parameterization before Gradio can
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submit it to ComfyUI.
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## Hugging Face Space Constraints
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## Immediate Next Step
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Copy the validated API workflow into the Space `workflows/` directory, prepare
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the runtime bootstrap scripts, and decide whether to vendor custom nodes into
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`custom_nodes/` or download pinned commits during Space startup.
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docs/todo.md
ADDED
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@@ -0,0 +1,114 @@
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# VoiceGate HF Space TODO
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This is the execution checklist for bringing the VoiceGate Hugging Face Space
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from scaffold to a working Gradio app.
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## Current Status
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- [x] Create the `VoiceGate-hf` Space wrapper repository.
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- [x] Configure and push to `build-small-hackathon/VoiceGate`.
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- [x] Replace the default HF template with a VoiceGate scaffold.
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- [x] Keep the upstream `VoiceGate/` checkout local-only and ignored.
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- [x] Preserve Hugging Face LFS rules in `.gitattributes`.
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- [x] Confirm `VoiceGate/workflows/VoiceGate-Workflow_api.json` is valid JSON.
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- [x] Copy the validated API workflow into `workflows/voicegate_api.json`.
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## Phase 1: Repository Hygiene
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- [x] Copy `VoiceGate/workflows/VoiceGate-Workflow_api.json` to
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`workflows/voicegate_api.json`.
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- [x] Copy `VoiceGate/workflows/VoiceGate-Workflow.json` to
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`workflows/voicegate_ui.json` for reference.
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- [ ] Update docs so `VoiceGate/` is clearly documented as a local upstream
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checkout, not Space runtime content.
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- [ ] Commit and push the workflow files after confirming they contain no
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secrets or large media.
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## Phase 2: Dependency Inventory
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- [ ] Identify exact repositories and pinned commits for every required custom
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node package:
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- [ ] `comfyui_voicebridge`
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- [ ] RunningHub VoxCPM nodes
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- [ ] MelBandRoFormer nodes
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- [ ] rgthree nodes
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- [ ] comfyui-easy-use
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- [ ] Comfyroll text nodes or equivalent provider for `CR Text`
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- [ ] `RH_LLMAPI_NODE` provider
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- [ ] Identify Python dependency constraints for ComfyUI and all custom nodes.
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- [ ] Identify system packages beyond `ffmpeg` and `git`, if any.
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- [ ] Decide whether custom nodes are vendored in `custom_nodes/` or installed
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by pinned git URL during bootstrap.
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- [ ] Decide where model files are downloaded and cached in the Space.
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## Phase 3: Runtime Bootstrap
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- [ ] Add `scripts/bootstrap_comfy.py`.
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- [ ] Add `scripts/run_comfy.py`.
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- [ ] Add `scripts/workflow_client.py`.
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- [ ] Install or prepare ComfyUI on Space startup.
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- [ ] Install custom node dependencies.
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- [ ] Verify ComfyUI can start locally in the Space.
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- [ ] Verify ComfyUI API endpoints are reachable:
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- [ ] `/system_stats`
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- [ ] `/upload/image` or the audio upload equivalent used by `LoadAudio`
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- [ ] `/prompt`
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- [ ] `/history/{prompt_id}`
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## Phase 4: Workflow Parameterization
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- [ ] Replace node `16` `LoadAudio.inputs.audio` with the uploaded audio file.
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- [ ] Replace node `105` `api_key` with `DEEPSEEK_API_KEY` from Space secrets.
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- [ ] Parameterize node `105` `api_baseurl`.
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- [ ] Parameterize node `105` `model`.
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- [ ] Parameterize node `110` target language.
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- [ ] Add unique job-specific output prefixes for node `180` and node `214`.
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- [ ] Decide which user controls are exposed first:
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- [ ] source language
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- [ ] target language
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- [ ] LLM model
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- [ ] max input duration
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- [ ] keep or drop background audio
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- [ ] Remove or ignore display-only `easy showAnything` nodes if they are not
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needed for API execution.
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## Phase 5: Gradio Interface
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- [ ] Replace the placeholder `app.py` with the first VoiceGate interface.
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- [ ] Add short audio upload input.
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- [ ] Add target language input.
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- [ ] Add status/log output.
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- [ ] Add generated audio output.
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- [ ] Add generated SRT file outputs.
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- [ ] Wrap GPU-heavy execution with `@spaces.GPU(duration=...)`.
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- [ ] Add guardrails for file type and duration.
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## Phase 6: Minimal Runtime Tests
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- [ ] Start Space and confirm Gradio loads.
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- [ ] Start ComfyUI from the Space process.
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- [ ] Submit a minimal prompt to ComfyUI and receive a response.
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- [ ] Run a tiny TTS-only workflow.
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- [ ] Run a short ASR-only workflow.
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- [ ] Run SRT split -> VoxCPM -> SRT merge.
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- [ ] Run the full short-audio VoiceGate workflow.
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- [ ] Confirm output audio and SRT files are downloadable from Gradio.
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## Phase 7: Full VoiceGate Path
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- [ ] Add video input support after the audio path is stable.
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- [ ] Extract audio from video with `ffmpeg`.
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- [ ] Merge generated audio back into the original video if required.
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- [ ] Add subtitle download and optional subtitle burn-in.
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- [ ] Add examples with small sample files, if allowed by Space storage limits.
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## Open Questions
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- [ ] Which exact node repository provides `RH_LLMAPI_NODE`?
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- [ ] Which exact node repository provides `RunningHub_VoxCPM_*`?
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- [ ] Is `flash_attention_2` available and reliable in the ZeroGPU environment?
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- [ ] Does VoxCPM2 fit comfortably in ZeroGPU memory with ASR and
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MelBandRoFormer in the same run?
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- [ ] Should the first public demo disable background separation to reduce
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runtime and memory pressure?
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- [ ] What maximum uploaded audio/video duration should the first version allow?
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workflows/voicegate_api.json
ADDED
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| 1 |
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{
|
| 2 |
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"16": {
|
| 3 |
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"inputs": {
|
| 4 |
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"audio": "fcecb7fd3827851a4fb22c52886610aed0a62e5fe32ea46f3b1291ff3dd236ab.mp3",
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| 5 |
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"audioUI": ""
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},
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| 7 |
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"class_type": "LoadAudio",
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| 8 |
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"_meta": {
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| 9 |
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"title": "输入原音频"
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| 10 |
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}
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| 11 |
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},
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| 12 |
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"31": {
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| 13 |
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"inputs": {
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| 14 |
+
"repo_id": "Qwen/Qwen3-ASR-1.7B",
|
| 15 |
+
"precision": "bf16",
|
| 16 |
+
"attention": "flash_attention_2",
|
| 17 |
+
"max_new_tokens": 1024,
|
| 18 |
+
"forced_aligner": "Qwen/Qwen3-ForcedAligner-0.6B"
|
| 19 |
+
},
|
| 20 |
+
"class_type": "VoiceBridgeASRLoader",
|
| 21 |
+
"_meta": {
|
| 22 |
+
"title": "VoiceBridge ASR Loader"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"33": {
|
| 26 |
+
"inputs": {
|
| 27 |
+
"language": "auto",
|
| 28 |
+
"context": "",
|
| 29 |
+
"return_timestamps": true,
|
| 30 |
+
"model_key": [
|
| 31 |
+
"31",
|
| 32 |
+
0
|
| 33 |
+
],
|
| 34 |
+
"audio": [
|
| 35 |
+
"99",
|
| 36 |
+
0
|
| 37 |
+
]
|
| 38 |
+
},
|
| 39 |
+
"class_type": "VoiceBridgeASRTranscribe",
|
| 40 |
+
"_meta": {
|
| 41 |
+
"title": "VoiceBridge ASR Transcribe"
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"36": {
|
| 45 |
+
"inputs": {
|
| 46 |
+
"text": [
|
| 47 |
+
"33",
|
| 48 |
+
1
|
| 49 |
+
],
|
| 50 |
+
"language": [
|
| 51 |
+
"33",
|
| 52 |
+
2
|
| 53 |
+
],
|
| 54 |
+
"save_srt": true,
|
| 55 |
+
"filename_prefix": "VoiceBridge/subtitle",
|
| 56 |
+
"forced_aligns": [
|
| 57 |
+
"33",
|
| 58 |
+
0
|
| 59 |
+
]
|
| 60 |
+
},
|
| 61 |
+
"class_type": "GenerateSRT",
|
| 62 |
+
"_meta": {
|
| 63 |
+
"title": "Generate SRT"
|
| 64 |
+
}
|
| 65 |
+
},
|
| 66 |
+
"45": {
|
| 67 |
+
"inputs": {
|
| 68 |
+
"language": "auto",
|
| 69 |
+
"context": "",
|
| 70 |
+
"return_timestamps": false,
|
| 71 |
+
"model_key": [
|
| 72 |
+
"31",
|
| 73 |
+
0
|
| 74 |
+
],
|
| 75 |
+
"audio": [
|
| 76 |
+
"46",
|
| 77 |
+
0
|
| 78 |
+
]
|
| 79 |
+
},
|
| 80 |
+
"class_type": "VoiceBridgeASRTranscribe",
|
| 81 |
+
"_meta": {
|
| 82 |
+
"title": "VoiceBridge ASR Transcribe"
|
| 83 |
+
}
|
| 84 |
+
},
|
| 85 |
+
"46": {
|
| 86 |
+
"inputs": {
|
| 87 |
+
"start_index": 0,
|
| 88 |
+
"duration": 10.000000000000002,
|
| 89 |
+
"audio": [
|
| 90 |
+
"99",
|
| 91 |
+
0
|
| 92 |
+
]
|
| 93 |
+
},
|
| 94 |
+
"class_type": "TrimAudioDuration",
|
| 95 |
+
"_meta": {
|
| 96 |
+
"title": "Trim Audio Duration"
|
| 97 |
+
}
|
| 98 |
+
},
|
| 99 |
+
"61": {
|
| 100 |
+
"inputs": {
|
| 101 |
+
"text": "1\n00:00:00,000 --> 00:00:04,000\n我相信你在各种内容下面应该都见过这样一句类似的评论\n\n2\n00:00:04,240 --> 00:00:04,960\n那几个月之前\n\n3\n00:00:04,960 --> 00:00:06,879\n其实大家把这个当成一种调侃了\n\n4\n00:00:06,879 --> 00:00:07,679\n是一种梗\n\n5\n00:00:07,679 --> 00:00:07,919\n对吧\n\n6\n00:00:08,160 --> 00:00:09,359\n你看到太离谱的东西\n\n7\n00:00:09,439 --> 00:00:10,320\n你会说\n\n8\n00:00:10,320 --> 00:00:10,800\n“哎呀\n\n9\n00:00:10,800 --> 00:00:12,560\n这是AI或者AI太好用了\n\n10\n00:00:12,560 --> 00:00:12,960\n家人\n\n11\n00:00:13,359 --> 00:00:14,240\n”但有意思的就是\n\n12\n00:00:14,240 --> 00:00:15,359\n只过了短短几个月\n\n13\n00:00:15,519 --> 00:00:19,519\n你会发现现在这句“这是AI嘛”背后的情绪它变化了\n\n14\n00:00:19,839 --> 00:00:21,280\n因为AI它又变强了\n\n",
|
| 102 |
+
"anything": [
|
| 103 |
+
"36",
|
| 104 |
+
0
|
| 105 |
+
]
|
| 106 |
+
},
|
| 107 |
+
"class_type": "easy showAnything",
|
| 108 |
+
"_meta": {
|
| 109 |
+
"title": "Show Any"
|
| 110 |
+
}
|
| 111 |
+
},
|
| 112 |
+
"96": {
|
| 113 |
+
"inputs": {
|
| 114 |
+
"model_name": "MelBandRoFormer_comfy/MelBandRoformer_fp32.safetensors"
|
| 115 |
+
},
|
| 116 |
+
"class_type": "MelBandRoFormerModelLoader",
|
| 117 |
+
"_meta": {
|
| 118 |
+
"title": "Mel-Band RoFormer Model Loader"
|
| 119 |
+
}
|
| 120 |
+
},
|
| 121 |
+
"99": {
|
| 122 |
+
"inputs": {
|
| 123 |
+
"model": [
|
| 124 |
+
"96",
|
| 125 |
+
0
|
| 126 |
+
],
|
| 127 |
+
"audio": [
|
| 128 |
+
"16",
|
| 129 |
+
0
|
| 130 |
+
]
|
| 131 |
+
},
|
| 132 |
+
"class_type": "MelBandRoFormerSampler",
|
| 133 |
+
"_meta": {
|
| 134 |
+
"title": "Mel-Band RoFormer Sampler"
|
| 135 |
+
}
|
| 136 |
+
},
|
| 137 |
+
"105": {
|
| 138 |
+
"inputs": {
|
| 139 |
+
"api_baseurl": "https://api.deepseek.com",
|
| 140 |
+
"api_key": "",
|
| 141 |
+
"model": "deepseek-v4-flash",
|
| 142 |
+
"role": [
|
| 143 |
+
"109",
|
| 144 |
+
0
|
| 145 |
+
],
|
| 146 |
+
"prompt": [
|
| 147 |
+
"36",
|
| 148 |
+
0
|
| 149 |
+
],
|
| 150 |
+
"temperature": 0.5,
|
| 151 |
+
"seed": 1761935326
|
| 152 |
+
},
|
| 153 |
+
"class_type": "RH_LLMAPI_NODE",
|
| 154 |
+
"_meta": {
|
| 155 |
+
"title": "Runninghub LLM API Node"
|
| 156 |
+
}
|
| 157 |
+
},
|
| 158 |
+
"107": {
|
| 159 |
+
"inputs": {
|
| 160 |
+
"text": "1\n00:00:00,000 --> 00:00:04,000\nI bet you've seen a comment like this under all kinds of content.\n\n2\n00:00:04,240 --> 00:00:04,960\nA few months ago,\n\n3\n00:00:04,960 --> 00:00:06,879\neveryone used it as a joke.\n\n4\n00:00:06,879 --> 00:00:07,679\nIt was a meme.\n\n5\n00:00:07,679 --> 00:00:07,919\nRight?\n\n6\n00:00:08,160 --> 00:00:09,359\nYou see something absurd.\n\n7\n00:00:09,439 --> 00:00:10,320\nYou'd say,\n\n8\n00:00:10,320 --> 00:00:10,800\n\"Ah,\n\n9\n00:00:10,800 --> 00:00:12,560\nmust be AI, or AI is too good.\n\n10\n00:00:12,560 --> 00:00:12,960\nBro.\"\n\n11\n00:00:13,359 --> 00:00:14,240\nBut the interesting thing is,\n\n12\n00:00:14,240 --> 00:00:15,359\njust a few months later,\n\n13\n00:00:15,519 --> 00:00:19,519\nnow the emotion behind \"Is this AI?\" has changed.\n\n14\n00:00:19,839 --> 00:00:21,280\nBecause AI has gotten even stronger.",
|
| 161 |
+
"anything": [
|
| 162 |
+
"105",
|
| 163 |
+
0
|
| 164 |
+
]
|
| 165 |
+
},
|
| 166 |
+
"class_type": "easy showAnything",
|
| 167 |
+
"_meta": {
|
| 168 |
+
"title": "Show Any"
|
| 169 |
+
}
|
| 170 |
+
},
|
| 171 |
+
"108": {
|
| 172 |
+
"inputs": {
|
| 173 |
+
"text": "You are a professional subtitle translator. Please translate all the subtitles in this SRT file into natural, spoken [Language]. Keep each timestamp exactly the same. For each subtitle line, use the shortest possible phrasing that still captures the original meaning (it doesn't have to be a direct translation, just convey the correct idea). Output the content directly in SRT format, without any explanation or descriptive text."
|
| 174 |
+
},
|
| 175 |
+
"class_type": "CR Text",
|
| 176 |
+
"_meta": {
|
| 177 |
+
"title": "🔤 CR Text"
|
| 178 |
+
}
|
| 179 |
+
},
|
| 180 |
+
"109": {
|
| 181 |
+
"inputs": {
|
| 182 |
+
"texts": [
|
| 183 |
+
"108",
|
| 184 |
+
0
|
| 185 |
+
],
|
| 186 |
+
"find": "[Language]",
|
| 187 |
+
"replace": [
|
| 188 |
+
"110",
|
| 189 |
+
0
|
| 190 |
+
]
|
| 191 |
+
},
|
| 192 |
+
"class_type": "ReplaceText",
|
| 193 |
+
"_meta": {
|
| 194 |
+
"title": "Replace Text (DEPRECATED)"
|
| 195 |
+
}
|
| 196 |
+
},
|
| 197 |
+
"110": {
|
| 198 |
+
"inputs": {
|
| 199 |
+
"value": "English"
|
| 200 |
+
},
|
| 201 |
+
"class_type": "easy string",
|
| 202 |
+
"_meta": {
|
| 203 |
+
"title": "输入目标语言"
|
| 204 |
+
}
|
| 205 |
+
},
|
| 206 |
+
"176": {
|
| 207 |
+
"inputs": {
|
| 208 |
+
"tempo_limit": 2,
|
| 209 |
+
"mini_gap_ms": 10,
|
| 210 |
+
"srt_items": [
|
| 211 |
+
"177",
|
| 212 |
+
1
|
| 213 |
+
],
|
| 214 |
+
"audios": [
|
| 215 |
+
"268",
|
| 216 |
+
0
|
| 217 |
+
]
|
| 218 |
+
},
|
| 219 |
+
"class_type": "VoiceBridgeAudioListMergerBySRT",
|
| 220 |
+
"_meta": {
|
| 221 |
+
"title": "VoiceBridge Audio List Merger by SRT"
|
| 222 |
+
}
|
| 223 |
+
},
|
| 224 |
+
"177": {
|
| 225 |
+
"inputs": {
|
| 226 |
+
"srt_string": [
|
| 227 |
+
"105",
|
| 228 |
+
0
|
| 229 |
+
]
|
| 230 |
+
},
|
| 231 |
+
"class_type": "VoiceBridgeSRTSplitter",
|
| 232 |
+
"_meta": {
|
| 233 |
+
"title": "VoiceBridge SRT Splitter"
|
| 234 |
+
}
|
| 235 |
+
},
|
| 236 |
+
"179": {
|
| 237 |
+
"inputs": {
|
| 238 |
+
"text": "1\n00:00:00,000 --> 00:00:03,540\nI bet you've seen a comment like this under all kinds of content.\n\n2\n00:00:03,550 --> 00:00:04,681\nA few months ago,\n\n3\n00:00:04,960 --> 00:00:06,851\neveryone used it as a joke.\n\n4\n00:00:06,861 --> 00:00:07,835\nIt was a meme.\n\n5\n00:00:07,845 --> 00:00:08,400\nRight?\n\n6\n00:00:08,410 --> 00:00:09,683\nYou see something absurd.\n\n7\n00:00:09,693 --> 00:00:10,536\nYou'd say,\n\n8\n00:00:10,546 --> 00:00:10,996\n\"Ah,\n\n9\n00:00:11,006 --> 00:00:13,018\nmust be AI, or AI is too good.\n\n10\n00:00:13,028 --> 00:00:13,837\nBro.\"\n\n11\n00:00:13,847 --> 00:00:14,700\nBut the interesting thing is,\n\n12\n00:00:14,710 --> 00:00:15,946\njust a few months later,\n\n13\n00:00:15,956 --> 00:00:20,245\nnow the emotion behind \"Is this AI?\" has changed.\n\n14\n00:00:20,255 --> 00:00:23,795\nBecause AI has gotten even stronger.\n",
|
| 239 |
+
"anything": [
|
| 240 |
+
"176",
|
| 241 |
+
1
|
| 242 |
+
]
|
| 243 |
+
},
|
| 244 |
+
"class_type": "easy showAnything",
|
| 245 |
+
"_meta": {
|
| 246 |
+
"title": "Show Any"
|
| 247 |
+
}
|
| 248 |
+
},
|
| 249 |
+
"180": {
|
| 250 |
+
"inputs": {
|
| 251 |
+
"filename_prefix": "audio/ComfyUI",
|
| 252 |
+
"quality": "V0",
|
| 253 |
+
"audioUI": "",
|
| 254 |
+
"audio": [
|
| 255 |
+
"251",
|
| 256 |
+
0
|
| 257 |
+
]
|
| 258 |
+
},
|
| 259 |
+
"class_type": "SaveAudioMP3",
|
| 260 |
+
"_meta": {
|
| 261 |
+
"title": "Save Audio (MP3)"
|
| 262 |
+
}
|
| 263 |
+
},
|
| 264 |
+
"206": {
|
| 265 |
+
"inputs": {
|
| 266 |
+
"control_instruction": "",
|
| 267 |
+
"text": [
|
| 268 |
+
"177",
|
| 269 |
+
0
|
| 270 |
+
],
|
| 271 |
+
"cfg_value": 2,
|
| 272 |
+
"inference_steps": 10,
|
| 273 |
+
"seed": 220751697769047,
|
| 274 |
+
"ultimate_clone": true,
|
| 275 |
+
"reference_audio_text": [
|
| 276 |
+
"264",
|
| 277 |
+
0
|
| 278 |
+
],
|
| 279 |
+
"normalize_text": false,
|
| 280 |
+
"denoise_reference": false,
|
| 281 |
+
"max_len": 4096,
|
| 282 |
+
"retry_badcase": true,
|
| 283 |
+
"model": [
|
| 284 |
+
"207",
|
| 285 |
+
0
|
| 286 |
+
],
|
| 287 |
+
"reference_audio": [
|
| 288 |
+
"261",
|
| 289 |
+
0
|
| 290 |
+
]
|
| 291 |
+
},
|
| 292 |
+
"class_type": "RunningHub_VoxCPM_Generate",
|
| 293 |
+
"_meta": {
|
| 294 |
+
"title": "RunningHub VoxCPM Generate Speech"
|
| 295 |
+
}
|
| 296 |
+
},
|
| 297 |
+
"207": {
|
| 298 |
+
"inputs": {
|
| 299 |
+
"model_name": "VoxCPM2",
|
| 300 |
+
"optimize": false,
|
| 301 |
+
"lora_name": "None"
|
| 302 |
+
},
|
| 303 |
+
"class_type": "RunningHub_VoxCPM_LoadModel",
|
| 304 |
+
"_meta": {
|
| 305 |
+
"title": "RunningHub VoxCPM Load Model"
|
| 306 |
+
}
|
| 307 |
+
},
|
| 308 |
+
"214": {
|
| 309 |
+
"inputs": {
|
| 310 |
+
"srt_string": [
|
| 311 |
+
"179",
|
| 312 |
+
0
|
| 313 |
+
],
|
| 314 |
+
"filename_prefix": "VoiceBridge/subtitle"
|
| 315 |
+
},
|
| 316 |
+
"class_type": "SaveSRTFromString",
|
| 317 |
+
"_meta": {
|
| 318 |
+
"title": "Save SRT From String"
|
| 319 |
+
}
|
| 320 |
+
},
|
| 321 |
+
"251": {
|
| 322 |
+
"inputs": {
|
| 323 |
+
"audio_1": [
|
| 324 |
+
"176",
|
| 325 |
+
0
|
| 326 |
+
],
|
| 327 |
+
"audio_2": [
|
| 328 |
+
"99",
|
| 329 |
+
1
|
| 330 |
+
]
|
| 331 |
+
},
|
| 332 |
+
"class_type": "MergeAudioMW",
|
| 333 |
+
"_meta": {
|
| 334 |
+
"title": "Merge Audio"
|
| 335 |
+
}
|
| 336 |
+
},
|
| 337 |
+
"261": {
|
| 338 |
+
"inputs": {
|
| 339 |
+
"any_01": [
|
| 340 |
+
"46",
|
| 341 |
+
0
|
| 342 |
+
]
|
| 343 |
+
},
|
| 344 |
+
"class_type": "Any Switch (rgthree)",
|
| 345 |
+
"_meta": {
|
| 346 |
+
"title": "Any Switch (rgthree)"
|
| 347 |
+
}
|
| 348 |
+
},
|
| 349 |
+
"264": {
|
| 350 |
+
"inputs": {
|
| 351 |
+
"any_01": [
|
| 352 |
+
"45",
|
| 353 |
+
1
|
| 354 |
+
]
|
| 355 |
+
},
|
| 356 |
+
"class_type": "Any Switch (rgthree)",
|
| 357 |
+
"_meta": {
|
| 358 |
+
"title": "Any Switch (rgthree)"
|
| 359 |
+
}
|
| 360 |
+
},
|
| 361 |
+
"268": {
|
| 362 |
+
"inputs": {
|
| 363 |
+
"start_index": 0.30000000000000004,
|
| 364 |
+
"duration": 100.00000000000001,
|
| 365 |
+
"audio": [
|
| 366 |
+
"206",
|
| 367 |
+
0
|
| 368 |
+
]
|
| 369 |
+
},
|
| 370 |
+
"class_type": "TrimAudioDuration",
|
| 371 |
+
"_meta": {
|
| 372 |
+
"title": "Trim Audio Duration"
|
| 373 |
+
}
|
| 374 |
+
}
|
| 375 |
+
}
|
workflows/voicegate_ui.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|