Écriture
ComfyUI_JoyAI_Echo
Self-hosted writing: pushing the frontier of long video generation standalo.
★ 58 étoilesApache-2.0
Voir le guide →Index-Translate est un projet de écriture open source, créé par bilibili (bilibili/Index-Translate sur GitHub). Il compte 1 607 étoiles sur GitHub et 41 forks, il est publié sous la licence Apache-2.0 et a été mis à jour pour la dernière fois sur GitHub le 14 octobre 2026.
Index-Translate — Bilibili's multilingual, multimodal translation model family: 150 languages, image and speech translation, controlled dubbing and long documents
Call Index-Translate-35B-A3B through the OpenAI-compatible public API — no GPU needed.
Clone the repo, install vLLM and the inference requirements, and download the models from Hugging Face or ModelScope.
Pass terminology, formatting or preservation requirements, or use the Echo and Homura variants for speech and syllable-controlled dubbing.
Text translation across 150 languages on a unified multilingual foundation built on Qwen3.5.
Image translation with a native vision encoder (no OCR pipeline), plus speech-to-subtitles and voice-cloned dubbing via Index-Echo.
Index-Homura fits translations to a specified syllable budget for syllable-level timing alignment.
Terminology, formatting and content-preservation instructions are followed as hard or soft constraints.
Self-hosting uses vLLM.
git clone https://github.com/bilibili/Index-Translate.git
pip install -U vllm
pip install -r inference/llm/requirements.txtZero GPU setup, OpenAI-compatible.
python inference/llm/call_api.py "Hello, world!" --target zhWeights are on Hugging Face and ModelScope under the IndexTeam collections.
https://huggingface.co/collections/IndexTeam/index-translateBilibili’s IndexTeam; models are published under the IndexTeam collections on Hugging Face and ModelScope.
Yes, Apache-2.0 licensed, and the public API for Index-Translate-35B-A3B is free to call.
No — the free public API needs no GPU or paid key; self-hosting needs your own GPU capacity.
General LLMs translate well but treat dubbing timing and voice as separate problems. Index-Translate ships purpose-built variants: Echo for voice-preserving dubbing, Homura for syllable-controlled fits.
Run python inference/llm/call_api.py against the free API, or clone the repo and serve a model with vLLM.
Self-hosted writing: pushing the frontier of long video generation standalo.
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