Technical analysis of hardware configuration
FantasyTalking's performance needs stem from its advanced technical architecture:
- Wan2.1 model uses 14 billion parameter scales and requires 24GB+ of video memory for full loading
- Dynamic resolution rendering system automatically adjusts computational load based on GPU capabilities
- Memory optimization schemes include: gradient checkpoints, activation value compression and hierarchical computation
Suggested Configuration Options:
| resolution (of a photo) | Minimum GPU | memory utilization |
|---|---|---|
| 256 x 256 | RTX 2080 | 12GB |
| 512 x 512 | RTX 3090 | 20GB |
| 720P | A100 40GB | 38GB |
The project team says that future versions are expected to reduce 720P requirements to 24GB of video memory through distributed inference and model quantization techniques.
This answer comes from the articleFantasyTalking: an open-source tool for generating realistic speaking portraitsThe
May not be reproduced without permission:AI productivity tools " FantasyTalking's System Requirements Reflect Hardware Needs for High Quality Video Generation
