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docs: consolidate troubleshooting into the MDX docs site + status updates
- Delete docs/TROUBLESHOOTING.md; the canonical troubleshooting guide now lives under docs/content/docs/overview/troubleshooting.mdx so it's served from docs.voicebox.sh alongside the rest of the docs. - CONTRIBUTING.md + README.md: repoint "Troubleshooting" references to the new MDX path. README gets a top-level callout so users hit the guide before filing an issue. - PROJECT_STATUS.md: refresh issue/PR counts, document the flash-attn warning (cosmetic on all platforms; CUDA-only, fallback is PyTorch SDPA which is near-FA2 on Ampere+) with per-platform context + community Windows wheels + SageAttention/xformers alternatives, add WebAudio audio-session bug note (tracked separately in PR #486), and expand the Qwen 0.6B→1.7B MLX fallback explanation for triage. Co-Authored-By: Claude Opus 4.7 (1M context) <[email protected]>
This commit is contained in:
co-authored by
Claude Opus 4.7
parent
a641ffc919
commit
a179b826cd
+2
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@@ -359,7 +359,7 @@ Releases are managed by maintainers:
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## Troubleshooting
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See [docs/TROUBLESHOOTING.md](docs/TROUBLESHOOTING.md) for common issues and solutions.
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See [docs/content/docs/overview/troubleshooting.mdx](docs/content/docs/overview/troubleshooting.mdx) for common issues and solutions.
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**Quick fixes:**
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@@ -372,7 +372,7 @@ See [docs/TROUBLESHOOTING.md](docs/TROUBLESHOOTING.md) for common issues and sol
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- Open an issue for bugs or feature requests
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- Check existing issues and discussions
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- Review the codebase to understand patterns
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- See [docs/TROUBLESHOOTING.md](docs/TROUBLESHOOTING.md) for common issues
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- See [docs/content/docs/overview/troubleshooting.mdx](docs/content/docs/overview/troubleshooting.mdx) for common issues
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## Additional Resources
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@@ -33,7 +33,8 @@
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<a href="https://docs.voicebox.sh">Docs</a> •
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<a href="#download">Download</a> •
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<a href="#features">Features</a> •
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<a href="#api">API</a>
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<a href="#api">API</a> •
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<a href="docs/content/docs/overview/troubleshooting.mdx">Troubleshooting</a>
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</p>
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<br/>
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@@ -91,6 +92,8 @@ Voicebox is a **local-first voice cloning studio** — a free and open-source al
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> **Linux** — Pre-built binaries are not yet available. See [voicebox.sh/linux-install](https://voicebox.sh/linux-install) for build-from-source instructions.
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> **Having trouble?** See the [Troubleshooting Guide](docs/content/docs/overview/troubleshooting.mdx) for common install, generation, model-download, and GPU issues.
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---
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## Features
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+44
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@@ -1,6 +1,6 @@
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# Voicebox Project Status & Roadmap
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> Last updated: 2026-04-18 | Current version: **v0.4.1** | ~155 open issues | 12 open PRs
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> Last updated: 2026-04-18 | Current version: **v0.4.1** | 232 open issues | 12 open PRs
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---
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@@ -224,6 +224,8 @@ POST /generate
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- **Blackwell (RTX 50-series) CUDA**: cu128 + sm_120 kernel support shipped (PR #401, #316), but users still report `cudaErrorNoKernelImageForDevice` (#417, #400, #396, #395, #390, #362) — likely a stale CUDA binary on upgraded installs. Needs a follow-up diagnostic / forced re-download path.
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- **Long text 50k character limit** (#464, #365, #354): Still hit on GPU despite chunking (PR #266). Chunking reliability needs another pass.
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- **ROCm on RDNA 3/4** (#469): `HSA_OVERRIDE_GFX_VERSION` is hardcoded and harms newer cards.
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- **`flash-attn is not installed` warning on every platform (cosmetic, common user complaint)**: Our transformer-based engines (Chatterbox / Qwen) emit `Warning: flash-attn is not installed. Will only run the manual PyTorch version. Please install flash-attn for faster inference.` on every startup, on every platform — we don't pin `flash-attn` in requirements because installing it is fragile and version-sensitive. Fallback is PyTorch SDPA, which is near-FA2 throughput on Ampere+ and is what actually runs. **Per-platform reality:** (a) **macOS/Apple Silicon** — FlashAttention is CUDA-only, irrelevant here; MLX has its own attention kernels. (b) **Linux** — `pip install flash-attn --no-build-isolation` works but takes 20+ min to compile. (c) **Windows** — no official support (Dao-AILab README still says only "Might work"; source builds routinely fail on recent CUDA/MSVC, issues #1715, #1828, #2395). Windows users can install community prebuilt wheels from `kingbri1/flash-attention` or `bdashore3/flash-attention` (latest v2.8.3, Aug 2025; `win_amd64` wheels for CUDA 12.4/12.8, Torch 2.6–2.9, Python 3.10–3.13) matching their exact CUDA/Torch/Python, or use WSL2. **Native-Windows alternatives worth considering as a build-time swap:** SageAttention (thu-ml, Apache 2.0, claims 2–5× over FA2) and xformers (official Windows wheels). **Action for us:** troubleshooting doc now covers it (see `docs/content/docs/overview/troubleshooting.mdx`), and we should optionally suppress the warning via `logging.getLogger(...).setLevel(ERROR)` at backend import since the fallback is functionally fine.
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- **WebAudio playback dies after audio-session interruption** (#41, plus an internal repro where the app is backgrounded long enough): WaveSurfer's `AudioContext` gets suspended by macOS — either because another app grabs the audio output, or because the WKWebView throttles when backgrounded. `play()` resolves and `timeupdate` can still fire, but no audio reaches the output. Only app restart fixes it. **Things already tried that didn't work:** (a) swapping WaveSurfer backend away from WebAudio — introduced more bugs, not an option; (b) remount hook on the player — doesn't help because a freshly-created `AudioContext` is born suspended and only resumes on a user gesture. PR #293 was a prior partial fix that doesn't cover this path. **Next thing to try** (not yet attempted — confirmed via grep of `AudioPlayer.tsx`): call `wavesurfer.getMediaElement().getGainNode().context.resume()` on the play button click (the click itself is a valid user gesture), plus a `visibilitychange` + `statechange` listener as belt-and-suspenders. The `ctx.resume()` pattern already exists in the codebase at `useStoryPlayback.ts:52` — just not wired into the main player.
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---
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@@ -303,9 +305,15 @@ POST /generate
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Still reported. Users get stuck downloads, can't resume, offline mode edge cases.
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**Key issues:** #475 (MAC CustomVoice install error), #449 (infinite loading macOS), #445 (can't download CustomVoice), #462 (Qwen requires internet even when loaded — regression from #150), #434 (infinite retry loop offline — PR #443 open), #432 (storage location change hangs when empty — partly fixed by PR #439/#433), #181, #180.
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**Key issues:** #475 (MAC CustomVoice install error), #449 (infinite loading macOS), #445 (can't download CustomVoice), #462 (Qwen requires internet even when loaded — regression from #150), #434 (infinite retry loop offline — PR #443 open), #432 (storage location change hangs when empty — partly fixed by PR #439/#433), #348 (TADA 3B Multilingual download fails), #336 (TADA model not listed in app), #275 (`No module named 'chatterbox'` on download), #304 (whisper-base feature extractor load error), #287 (macOS ARM `check_model_inputs` ImportError on new version), #181, #180.
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**Fix path:** PR #443 addresses infinite offline retry. CustomVoice-specific download failures (#475, #445) need triage — likely related to frozen-binary import fixes in PR #438.
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**Fix path:** PR #443 addresses infinite offline retry. CustomVoice-specific download failures (#475, #445) need triage — likely related to frozen-binary import fixes in PR #438. TADA cluster (#336, #348) and macOS ARM import regressions (#287, #275, #304) need a dedicated triage pass.
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**Qwen 0.6B-downloads-1.7B reports:** **#485** (2026-04-19), **#423** (macOS M1), **#329**. Platform-dependent:
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- **On MLX (Apple Silicon) — not a bug.** `mlx-community` only publishes 1.7B-Base-bf16 weights, so the 0.6B Base option intentionally resolves to the same repo (`backend/backends/__init__.py:180` — `# 0.6B not available in MLX, falls back`). UX gap: the selector offers a size that doesn't exist on the active backend. Fix: (a) hide the 0.6B option on MLX, or (b) label it "0.6B (uses 1.7B on Apple Silicon)".
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- **On PyTorch (Windows/Linux/CUDA/ROCm/XPU/CPU) — real bug if reported.** Both 0.6B and 1.7B have distinct repos (`Qwen/Qwen3-TTS-12Hz-0.6B-Base` vs `-1.7B-Base`). Triage each report by platform before merging into the MLX cluster.
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- **Qwen CustomVoice (either platform)** — no fallback, both sizes always have dedicated repos.
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### Language Requests (ongoing)
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@@ -364,6 +372,9 @@ Notable:
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- **#383** — Concatenate partial reference audio into generated audio
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- **#382** — Lightning.ai support
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- **#376** — Remote mode
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- **#353** — Audio transcoding
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- **#317** — Voice pitch control
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- **#189** — "Auto" language option
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- **#173** — Vocal intonation/inflection control
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- **#165, #270** — Audiobook mode (PR #154 open)
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- **#242** — Seed value pinning
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@@ -371,17 +382,40 @@ Notable:
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- **#235** — Finetuned Qwen3-TTS tokenizer (PR #253 open)
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- **#144** — Copy text to clipboard
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### Housekeeping / Triage Needed
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| Issue | Reason |
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|-------|--------|
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| **#431**, **#408** | Spam — Chinese "free Claude API" promos. Close. |
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| **#398** ("Excelente") | Non-issue. Close. |
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| **#357** | Informational — project featured in Awesome MLX. Close after acknowledgement. |
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| **#374**, **#377** | Version-release questions, no bug. Close. |
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| **#306** ("voice model"), **#389** ("New model"), **#473** ("New functionality") | Title-only issues, no content. Request details or close. |
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| **#309** | Uninstall/cleanup question. Answer and close. |
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| **#241** | "How to use in Colab" — support question, not a bug. |
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| **#423** / **#485** / **#329** | Platform-dependent. On MLX: not a bug (0.6B weights don't exist upstream, fallback is intentional — fix UX). On PyTorch: real bug if reproducible. Classify each by reporter's platform before deduping. |
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| **#336** / **#348** | TADA download/registration cluster — triage together. |
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| **#287** / **#275** / **#304** | macOS ARM import regressions on new version — likely one root cause. |
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| **#292**, **#349** | Possibly already fixed by merged PRs (#321/#412 and #345). Verify + close. |
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**~70 older issues (pre-#170) not individually categorized above.** Most are long-tail support questions or duplicates of problems now addressed by the multi-engine / model-registry work. A dedicated backlog-sweep pass is overdue.
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### Bugs (ongoing)
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| Category | Issues |
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|----------|--------|
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| Generation failures | #476, #467, #452, #459 (voice clone fetch error), #468 (tada-1b marked error), #437, #282 |
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| Audio quality | #456 (clipping errors v0.4.0), #436 (emotion labels), #333 (pitch/echo), #307 (by-model breakdown) |
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| File ops | #477 (spacy_pkuseg dict missing on frozen Windows build), #472 (storage location change) |
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| Windows | #466 (install problem), #273 (port 8000 conflict) |
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| Linux | #471 (thread-safe PULSE_SOURCE), #413 (Arch build), #409 (Kubuntu build), #341 |
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| macOS | #441 (older macOS), #369 (malware flag), #171 (ARM64 binary won't open) |
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| Profile/UI | #360 (Kokoro profile hides others — partly addressed by auto-switch), #299 (drag-drop on Win11), #329 (size selector state bug) |
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| Generation failures | #476, #467, #452, #459 (voice clone fetch error), #468 (tada-1b marked error), #437, #300, #301, #282 |
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| Audio quality | #456 (clipping errors v0.4.0), #436 (emotion labels), #333 (pitch/echo), #307 (by-model breakdown), #340 (all generations say "www...") |
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| Transcription | #371 (fails every time), #291 (extract transcription from generated audio) |
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| Effects / presets | #349 ("Failed to save" when creating effects presets — possibly fixed by merged #345) |
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| File ops | #477 (spacy_pkuseg dict missing on frozen Windows build), #472 (storage location change), #283 (allow longer files for voice creation + in-app trim), #350 (failed to add sample) |
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| History | #292 (can't delete failed generations — possibly fixed by merged #321/#412) |
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| Windows | #466 (install problem), #375 (WinError 5 access denied), #273 (port 8000 conflict), #201 (model doesn't stay loaded) |
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| Linux | #471 (thread-safe PULSE_SOURCE), #413 (Arch build), #409 (Kubuntu build), #351, #341 |
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| macOS | #441 (older macOS), #369 (malware flag), #334 (microphone permission), #287 (`check_model_inputs` ImportError — regression), #171 (ARM64 binary won't open) |
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| Profile/UI | #360 (Kokoro profile hides others — partly addressed by auto-switch), #299 (drag-drop on Win11), #329 (size selector state bug), #393 (stuck loading screen after reinstall to new dir) |
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| Integrations | #397 (SAMMI-bot 422 Unprocessable Entity) |
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| Audio playback / session | **#41** (macOS: Voicebox goes silent after another app takes audio output; restart restores it) — see deep-dive below |
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| Database | #174 (sqlite3 IntegrityError) |
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---
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@@ -1,311 +0,0 @@
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---
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title: "Troubleshooting Guide"
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description: "Common issues and solutions for Voicebox"
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---
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Common issues and solutions for Voicebox.
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## Installation Issues
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### macOS: "Voicebox cannot be opened because it is from an unidentified developer"
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**Solution:**
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1. Right-click the `.dmg` file
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2. Select "Open"
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3. Click "Open" in the security dialog
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4. Alternatively, go to System Settings → Privacy & Security → Allow Voicebox
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### Windows: "Windows protected your PC"
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**Solution:**
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1. Click "More info"
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2. Click "Run anyway"
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3. Windows Defender may flag new software; this is normal for unsigned apps
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### Linux: AppImage won't run
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**Solution:**
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```bash
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chmod +x voicebox-*.AppImage
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./voicebox-*.AppImage
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```
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## Runtime Issues
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### Server won't start
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**Symptoms:** App opens but shows "Server not connected"
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**Solutions:**
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1. **Check Python installation**
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```bash
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python --version # Should be 3.11+
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```
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2. **Check server binary exists**
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- Look in `tauri/src-tauri/binaries/` for your platform
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- Binary should match your system architecture
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3. **Check permissions**
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```bash
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# macOS/Linux
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chmod +x tauri/src-tauri/binaries/voicebox-server-*
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```
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4. **Check logs**
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- macOS: Open Console.app and search for "voicebox"
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- Linux: Check `~/.local/share/voicebox/` for logs
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- Windows: Check Event Viewer
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### "Model download failed"
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**Symptoms:** First generation fails with download error
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**Solutions:**
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1. **Check internet connection**
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- Models download from HuggingFace Hub (~2-4GB)
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- First download may take several minutes
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2. **Check disk space**
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- Models are cached in `~/.cache/huggingface/`
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- Ensure at least 5GB free space
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3. **Manual download** (if automatic fails)
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```bash
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pip install huggingface_hub
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huggingface-cli download Qwen/Qwen3-TTS-12Hz-1.7B-Base
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```
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### "Out of memory" errors
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**Symptoms:** Generation fails with CUDA/VRAM errors
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**Solutions:**
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1. **Use smaller model**
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- Switch to 0.6B model instead of 1.7B
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- Settings → Model Management → Load 0.6B
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2. **Close other applications**
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- Free up GPU memory
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- Close browser tabs, other ML apps
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3. **Use CPU mode**
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- Slower but works without GPU
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- Backend automatically falls back to CPU
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### MLX "Failed to load the default metallib" error (Apple Silicon)
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**Symptoms:** Generation fails with "library not found" or "metallib" errors
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**Solutions:**
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1. **Rebuild server binary**
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```bash
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just build-server
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```
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The build script automatically includes MLX Metal shader libraries on Apple Silicon.
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2. **Check MLX installation**
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```bash
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pip install -r backend/requirements-mlx.txt
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```
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3. **Verify backend detection**
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- Check server logs for "Backend: MLX"
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- If showing "Backend: PYTORCH", MLX may not be installed correctly
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### Audio playback issues
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**Symptoms:** Generated audio won't play
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**Solutions:**
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1. **Check audio format**
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- Audio is saved as WAV files
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- Ensure your system supports WAV playback
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2. **Try downloading audio**
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- Right-click → Download
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- Play in external player
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3. **Check browser permissions** (web version)
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- Allow audio autoplay in browser settings
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### Slow generation
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**Symptoms:** Generation takes >30 seconds
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**Solutions:**
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1. **Check backend type** (Apple Silicon)
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- Check Settings → Server Status
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- Should show "Backend: MLX" on Apple Silicon
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- If showing "Backend: PYTORCH", install MLX: `pip install -r backend/requirements-mlx.txt`
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- MLX provides 4-5x faster inference on Apple Silicon
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2. **Use GPU** (if available)
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- Check Settings → Server Status
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- Should show "GPU available: true"
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- Apple Silicon: Should show "Metal (Apple Silicon via MLX)"
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- Windows/Linux: Should show "CUDA" if GPU available
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3. **Enable caching**
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- Voice prompts are cached automatically
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- Second generation with same voice should be faster
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4. **Use smaller model**
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- 0.6B model is faster than 1.7B
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- Quality difference is minimal for most voices
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5. **Check system resources**
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- Close other CPU/GPU intensive apps
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- Ensure adequate RAM (8GB+ recommended)
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## API Issues
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||||
### "Connection refused" when using API
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||||
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||||
**Solutions:**
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||||
1. **Check server is running**
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```bash
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curl http://localhost:17493/health
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```
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2. **Check remote mode**
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- If connecting remotely, ensure server is started with `--host 0.0.0.0`
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- Check firewall settings
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3. **Check port availability**
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- The current local app and dev workflow uses port 17493 by default
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- Ensure no other service is using it
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### CORS errors in browser
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||||
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**Solutions:**
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1. **Use desktop app** (recommended)
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- Desktop app doesn't have CORS restrictions
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2. **Configure CORS** (for web deployment)
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- Update `backend/main.py` CORS settings
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- Add your domain to allowed origins
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## Update Issues
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### "Update check failed"
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**Solutions:**
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1. **Check internet connection**
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- Updates are fetched from GitHub releases
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2. **Check GitHub access**
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- Ensure `github.com` is accessible
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- Check firewall/proxy settings
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3. **Manual update**
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- Download latest release from GitHub
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- Install manually
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### "Invalid signature" error
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**Solutions:**
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1. **Re-download installer**
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- Signature may be corrupted
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- Download fresh copy from GitHub
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2. **Check release integrity**
|
||||
- Verify `.sig` file matches installer
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||||
- Report issue if signature is invalid
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||||
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||||
## Data Issues
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||||
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||||
### Profiles disappeared
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||||
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**Solutions:**
|
||||
1. **Check data directory**
|
||||
- macOS: `~/Library/Application Support/sh.voicebox.app/`
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||||
- Windows: `%APPDATA%/sh.voicebox.app/`
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- Linux: `~/.config/sh.voicebox.app/`
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2. **Check database**
|
||||
- Database: `data/voicebox.db`
|
||||
- Ensure file exists and is readable
|
||||
|
||||
3. **Restore from backup**
|
||||
- Profiles can be exported/imported
|
||||
- Check for backup files
|
||||
|
||||
### "Database locked" error
|
||||
|
||||
**Solutions:**
|
||||
1. **Close other instances**
|
||||
- Ensure only one Voicebox instance is running
|
||||
|
||||
2. **Restart app**
|
||||
- Close and reopen Voicebox
|
||||
|
||||
3. **Check file permissions**
|
||||
- Ensure database file is writable
|
||||
- Check directory permissions
|
||||
|
||||
## Development Issues
|
||||
|
||||
### Build fails
|
||||
|
||||
**Solutions:**
|
||||
1. **Check Rust installation**
|
||||
```bash
|
||||
rustc --version
|
||||
rustup update
|
||||
```
|
||||
|
||||
2. **Check Tauri dependencies**
|
||||
```bash
|
||||
cd tauri
|
||||
bun install
|
||||
```
|
||||
|
||||
3. **Clean build**
|
||||
```bash
|
||||
cd tauri/src-tauri
|
||||
cargo clean
|
||||
cd ../..
|
||||
just build
|
||||
```
|
||||
|
||||
### API client generation fails
|
||||
|
||||
**Solutions:**
|
||||
1. **Start backend server**
|
||||
```bash
|
||||
just dev-backend
|
||||
```
|
||||
|
||||
2. **Check OpenAPI endpoint**
|
||||
```bash
|
||||
curl http://localhost:17493/openapi.json
|
||||
```
|
||||
|
||||
3. **Regenerate client**
|
||||
```bash
|
||||
just generate-api
|
||||
```
|
||||
|
||||
## Still Having Issues?
|
||||
|
||||
1. **Check existing issues**
|
||||
- Search GitHub issues for similar problems
|
||||
- Check closed issues for solutions
|
||||
|
||||
2. **Create new issue**
|
||||
- Include:
|
||||
- OS and version
|
||||
- Voicebox version
|
||||
- Steps to reproduce
|
||||
- Error messages/logs
|
||||
- Screenshots (if applicable)
|
||||
|
||||
3. **Get help**
|
||||
- Check documentation in `docs/`
|
||||
- Review `backend/README.md` for API details
|
||||
- See `CONTRIBUTING.md` for development help
|
||||
|
||||
---
|
||||
|
||||
For more help, open an issue on [GitHub](https://github.com/jamiepine/voicebox/issues).
|
||||
@@ -29,6 +29,14 @@ Windows SmartScreen may warn that the app is unrecognized.
|
||||
This is expected for unsigned applications. We're working on code signing for future releases.
|
||||
</Callout>
|
||||
|
||||
### Linux: AppImage Won't Run
|
||||
|
||||
**Solution:**
|
||||
```bash
|
||||
chmod +x voicebox-*.AppImage
|
||||
./voicebox-*.AppImage
|
||||
```
|
||||
|
||||
## Server Issues
|
||||
|
||||
### Backend Server Won't Start
|
||||
@@ -85,6 +93,52 @@ Windows SmartScreen may warn that the app is unrecognized.
|
||||
</Accordion>
|
||||
</AccordionGroup>
|
||||
|
||||
### `flash-attn is not installed` Warning in Server Logs
|
||||
|
||||
**Symptoms:**
|
||||
```
|
||||
Warning: flash-attn is not installed. Will only run the manual PyTorch version.
|
||||
Please install flash-attn for faster inference.
|
||||
```
|
||||
|
||||
**This is harmless.** The warning is emitted by our transformer-based engines (Chatterbox / Qwen) on every startup. FlashAttention is an optional acceleration library — when it's not present, PyTorch's built-in scaled-dot-product attention (SDPA) runs instead, which is near-FA2 throughput on modern GPUs. Generation works normally.
|
||||
|
||||
**Why it shows up on every platform:**
|
||||
- **Windows:** `flash-attn` has no official Windows support. The upstream project (Dao-AILab/flash-attention) still only says it *might* work, and source builds typically fail on recent CUDA/MSVC combinations.
|
||||
- **macOS (Apple Silicon):** FlashAttention is CUDA-only and doesn't apply here at all. MLX has its own optimized attention kernels.
|
||||
- **Linux:** It's not pinned in our requirements because installing it is fragile and version-sensitive; users who want it install it themselves.
|
||||
|
||||
**Solutions (all optional):**
|
||||
|
||||
<AccordionGroup>
|
||||
<Accordion title="Ignore it (recommended)">
|
||||
PyTorch SDPA is what actually runs the model, and on Ampere/Ada/Hopper GPUs it's within a few percent of FA2 for our workloads. You won't notice a meaningful speed difference.
|
||||
</Accordion>
|
||||
|
||||
<Accordion title="Install flash-attn on Linux">
|
||||
```bash
|
||||
pip install flash-attn --no-build-isolation
|
||||
```
|
||||
|
||||
Requires a matching CUDA toolkit. Build can take 20+ minutes.
|
||||
</Accordion>
|
||||
|
||||
<Accordion title="Install flash-attn on Windows (community wheels)">
|
||||
Official builds don't exist, but community maintainers publish prebuilt wheels:
|
||||
|
||||
- [kingbri1/flash-attention releases](https://github.com/kingbri1/flash-attention/releases)
|
||||
- [bdashore3/flash-attention releases](https://github.com/bdashore3/flash-attention/releases)
|
||||
|
||||
Pick the wheel matching your exact CUDA + PyTorch + Python combination. Example:
|
||||
|
||||
```bash
|
||||
pip install https://github.com/kingbri1/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu128torch2.8.0cxx11abiFALSE-cp312-cp312-win_amd64.whl
|
||||
```
|
||||
|
||||
Alternatively, run Voicebox's backend inside WSL2 and use the standard Linux wheels.
|
||||
</Accordion>
|
||||
</AccordionGroup>
|
||||
|
||||
### Connection Timeout
|
||||
|
||||
**Symptoms:**
|
||||
@@ -174,6 +228,34 @@ This is expected behavior. The first generation downloads the selected TTS engin
|
||||
</Accordion>
|
||||
</AccordionGroup>
|
||||
|
||||
### MLX "Failed to load the default metallib" (Apple Silicon)
|
||||
|
||||
**Symptoms:**
|
||||
- Generation fails with "library not found" or "metallib" errors
|
||||
- Server logs reference missing Metal shader libraries
|
||||
|
||||
**Solutions:**
|
||||
|
||||
<AccordionGroup>
|
||||
<Accordion title="Rebuild the Server Binary">
|
||||
```bash
|
||||
just build-server
|
||||
```
|
||||
|
||||
The build script bundles MLX Metal shader libraries on Apple Silicon automatically.
|
||||
</Accordion>
|
||||
|
||||
<Accordion title="Reinstall MLX Dependencies">
|
||||
```bash
|
||||
pip install -r backend/requirements-mlx.txt
|
||||
```
|
||||
</Accordion>
|
||||
|
||||
<Accordion title="Verify Backend Detection">
|
||||
Check Settings → Server Status. Should show **Backend: MLX** on Apple Silicon. If it shows **Backend: PYTORCH**, MLX isn't installed correctly.
|
||||
</Accordion>
|
||||
</AccordionGroup>
|
||||
|
||||
## Audio Issues
|
||||
|
||||
### No Audio Playback
|
||||
@@ -357,7 +439,26 @@ Restart the app to create a fresh database.
|
||||
- Check your internet connection
|
||||
- Check HuggingFace Hub status
|
||||
- Try using a VPN if HuggingFace is blocked in your region
|
||||
- Manually download and place in cache directory
|
||||
- Manually download via the HuggingFace CLI and place in the cache directory:
|
||||
|
||||
```bash
|
||||
pip install huggingface_hub
|
||||
huggingface-cli download Qwen/Qwen3-TTS-12Hz-1.7B-Base
|
||||
```
|
||||
|
||||
### Qwen 0.6B Downloads the Same Files as 1.7B on Apple Silicon
|
||||
|
||||
**Symptoms:**
|
||||
- You select Qwen 0.6B on an Apple Silicon Mac and the download is the same size as 1.7B
|
||||
- Generation speed and VRAM usage match 1.7B, not the expected smaller model
|
||||
|
||||
**Explanation:**
|
||||
This is intentional, not a bug. The MLX community only publishes `mlx-community/Qwen3-TTS-12Hz-1.7B-Base-bf16` — there is no 0.6B MLX build. Voicebox's model registry falls back to the 1.7B weights when 0.6B is selected on MLX (see `backend/backends/__init__.py`).
|
||||
|
||||
**Solution:**
|
||||
- On Apple Silicon, both size options use the 1.7B model — pick either.
|
||||
- If you specifically need a smaller model, switch to **Kokoro 82M** (~350 MB) or **LuxTTS** (~300 MB) — both CPU-realtime.
|
||||
- On Windows/Linux with PyTorch, 0.6B and 1.7B are distinct repos and behave differently.
|
||||
|
||||
### Wrong Model Version
|
||||
|
||||
@@ -404,6 +505,16 @@ rmdir /s %USERPROFILE%\.cache\huggingface\hub\models--Qwen*
|
||||
<Accordion title="Update GPU Drivers">
|
||||
Outdated drivers can cause performance issues. Update to the latest NVIDIA drivers.
|
||||
</Accordion>
|
||||
|
||||
<Accordion title="Apple Silicon: Confirm MLX Backend">
|
||||
Check Settings → Server Status. Should show **Backend: MLX** on Apple Silicon — MLX is 4–5× faster than PyTorch here. If it shows **Backend: PYTORCH**, reinstall MLX:
|
||||
|
||||
```bash
|
||||
pip install -r backend/requirements-mlx.txt
|
||||
```
|
||||
|
||||
GPU availability should read "Metal (Apple Silicon via MLX)".
|
||||
</Accordion>
|
||||
</AccordionGroup>
|
||||
|
||||
### High Memory Usage
|
||||
@@ -417,6 +528,21 @@ rmdir /s %USERPROFILE%\.cache\huggingface\hub\models--Qwen*
|
||||
- Clear generation history
|
||||
- Restart the app periodically
|
||||
|
||||
## Update Issues
|
||||
|
||||
### "Update Check Failed"
|
||||
|
||||
**Solutions:**
|
||||
- Confirm your internet connection — updates are fetched from GitHub releases.
|
||||
- Ensure `github.com` is accessible and not blocked by a firewall or proxy.
|
||||
- As a fallback, download the latest release from GitHub and install manually.
|
||||
|
||||
### "Invalid Signature" Error
|
||||
|
||||
**Solutions:**
|
||||
- Re-download the installer — the signature may have been corrupted in transit.
|
||||
- Verify the `.sig` file matches the installer; if it doesn't, file an issue.
|
||||
|
||||
## Remote Mode Issues
|
||||
|
||||
### Can't Connect to Remote Server
|
||||
@@ -482,5 +608,3 @@ python --version
|
||||
# GPU info (if generation issues)
|
||||
nvidia-smi # NVIDIA GPUs
|
||||
```
|
||||
|
||||
For more detailed troubleshooting, see the [TROUBLESHOOTING.md](https://github.com/jamiepine/voicebox/blob/main/docs/TROUBLESHOOTING.md) file in the repository.
|
||||
|
||||
Reference in New Issue
Block a user