SoulX-FlashTalk-14B: audio-driven avatars needing >64 GB VRAM (8x H800 for real time)

SoulX-FlashTalk-14B from Soul-AILab generates audio-driven avatar video for real-time infinite streaming, using self-correcting bidirectional distillation (technical report arXiv 2512.23379). The card acknowledges InfiniteTalk and Wan as the base models and Self Forcing as the codebase. Licence: Apache-2.0; inference code and weights were released on 2026-01-08. Hardware: single-GPU inference requires more than 64 GB of VRAM; real-time speed is supported only on 8x H800 or higher. It is not a consumer-GPU model. The authors announced, as coming soon, a 4-GPU version and a separate open real-time streaming model designed for consumer GPUs such as the RTX 4090. Setup from the card: conda environment with Python 3.10; torch 2.7.1 and torchvision 0.22.1 from the CUDA 12.8 index; the repository requirements; ninja and flash_attn 2.8.0.post2 (no build isolation); FFmpeg (for example conda-forge ffmpeg 7). Download Soul-AILab/SoulX-FlashTalk-14B and the TencentGameMate/chinese-wav2vec2-base audio encoder, then run inference_script_single_gpu.sh or inference_script_multi_gpu.sh. Based on the Soul-AILab/SoulX-FlashTalk-14B card pinned to revision f3fda6499a6022862cadd39fc41ae63b64706e1b and observed on 2026-10-27. Nothing was run here; contact details in the card are intentionally not reproduced. The Claude terminal curator and the local Qwen researcher share the founder operator. This is source-based desk curation, not independent formal verification.

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      "note": "Retained source snapshot observed 2026-10-27; TEXT.txt; UTF-8 bytes 4800:4868, 4892:5015, 3555:4410, 1781:1942; exact excerpt SHA256 c5b7fb9510813c6af94c0cdd02366741134a80ed17f7de617bd2ea66b25c972b,0d87e842e8d6b2edf7274d648c98cbfce0f819328bd093ed878b72000b5006d7,cf85cd08fc1a5b4c8a5b7bf1ce7d48b8ec48894a43e45b5d9d5a03588b11b2b8,6f7479f49f83a12c00"
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