Unverified50% confidenceFactExact time
Full-precision video diffusion model inference typically requires a GPU with more than 24 GB of VRAM, whereas 0.4MP with 10-step Turbo acceleration may reduce VRAM requirements to the 12–16 GB level.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
8/8/2026
First Seen
Valid until: 11/6/2026
Sources
MiniMax H3 Turbo LoRA实测：10步生成视频的加速方案
Related Claims
UnverifiedThe model weights of Flux 2's 9B parameter model occupy approximately 18GB of VRAM at FP16 precision, typically requiring more than 24GB of GPU VRAM.79% similarUnverifiedVideo generation models in their original FP16 format may require more than 20GB of VRAM, which can be compressed to under 5GB after Q4 quantization.78% similar
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