Instructions to use joeygambino/ltx23-accent-american-audio-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use joeygambino/ltx23-accent-american-audio-lora with Diffusion Single File:
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- Inference
- Notebooks
- Google Colab
- Kaggle
LTX-2.3 American Accent LoRA β audio-branch, rank 32
Makes accent wording in your prompt actually work. LTX-2.3's voice prior ignores accent requests in exactly the regions where you need them most β young female characters default to Australian-leaning voices even when the prompt says "in a casual American accent". This LoRA turns that wording into a reliable control.
Read this first: the 24 fps rule
This LoRA cannot help you at the wrong frame rate. LTX-2.3's joint audio-video prior is 24 fps-native, and render fps is a hidden accent dial: at 25 fps the same prompt and seed render non-rhotic southern British, at 30 fps broad Australian β and off-24 fps overrides accent wording entirely, LoRA or no LoRA. Set your workflow's fps/frame_rate to 24, then use this LoRA. (Dose-response verified by A/B on identical configs, 2026-07-30.)
What it does β measured
A/B matrix on the hardest region (young pale-skinned woman, casual camcorder monologue), 24 fps, two seeds per cell, blind phonetic review:
| spoken-line wording | without LoRA | with LoRA @ 1.0 |
|---|---|---|
| no accent stated | Australian | Australian |
| "saying in a casual American accent" | Australian (both seeds) | General American (both seeds) |
| rich scaffold ("her voice is a low American voice with a slight rasp, speaking in a casual American accent") | Australian (both seeds) | General American |
The pattern: the LoRA does not force American unconditionally β it makes the model obey the accent you ask for in regions where the base model refuses. State the accent on every spoken line ("in a casual American accent"); the LoRA does the enforcing.
Lip-sync safe by construction
1,152 LoRA tensors, all of them in the audio branches β audio_attn1 (480),
audio_attn2 (480), audio_ff (192). Zero video tensors, zero cross-modal
(video_to_audio / audio_to_video) tensors. Video content, faces, and lip
motion are mathematically untouched.
Usage
- Strength 1.0 in any LTX-2.3 LoRA loader. Verified in long multishot production runs alongside a video-branch LoRA with no interference.
- Compatible with the LTX-2.3 22B family: stock distilled 1.1 and the JoyAI-Echo surgical merges (bf16 / fp8 / INT8 / GGUF via fuse-at-load).
- Render at 24 fps. Say the accent. That is the whole recipe.
Training
- ai-toolkit, rank 32 / alpha 32, 3,000 steps, lr 1e-4, batch 1, qfloat8.
- Data: American-English read speech from LibriSpeech (CC BY 4.0; V. Panayotov, G. Chen, D. Povey, S. Khudanpur), muxed over static video so only the audio lane carries signal. Captions are verbatim transcripts with the accent deliberately unnamed β the American prior trains as always-on behavior, not a trigger phrase.
- The audio-branch-only module scope is what keeps static training video harmless: the video branches never receive a gradient.
License
LoRA weights follow the LTX-2 Community License of the base model. Training audio: LibriSpeech, CC BY 4.0.
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Model tree for joeygambino/ltx23-accent-american-audio-lora
Base model
Lightricks/LTX-2.3