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SoulX-LiveAct local guide
Apache-licensed audio-driven human-animation model for hour-scale talking, music, podcast and FaceTime-style avatar video.
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What it does
Soul-AILab publishes the LiveAct safetensors checkpoint, official inference code, GUI demo commands and a chinese-wav2vec2-base companion download path. The README documents Python 3.10, SageAttention, vLLM, LightVAE and local generate.py/demo.py entrypoints; two H100/H200 GPUs are the realtime 20 FPS reference, while the authors added RTX 4090/RTX 5090 support through FP8 KV cache, block offload and T5 CPU offload and report 6 FPS on one RTX 5090. LocalClaw records 64 GB RAM and 24 GB NVIDIA VRAM as the conservative consumer-GPU offload floor.
Strengths
- Official Soul-AILab weights and inference repository
- Streaming and GUI demo paths for audio-driven human video
- Consumer NVIDIA path with FP8 KV cache and block offload
Limits to know
- Realtime reference performance still uses two H100/H200 GPUs
- Specialized human animation model, not general scene generation
- Depends on Wan2.1 I2V, wav2vec and compiled CUDA attention/runtime components