Go-with-the-Flow has differentiated hardware requirements for different functional modules:
- Basic operation (GUI interface): Can run on regular CPU computers for:
- Creating cut and drag animations
- Design of preliminary motion trajectories
- Advanced processing (video diffusion): A GPU-equipped computer must be used for:
- Generate high quality final output
- Handling noise distortion and motion transfer
Typical phased workflow:
- Creative phase (CPU environment)::
- Run the GUI interface on the local computer
- Creating rough motion designs
- Generate intermediate MP4 files
- transmission stage: Transferring intermediate files to GPU servers or workstations
- Processing phase (GPU environment)::
- Install all dependencies (pip install -r requirements.txt)
- Run the noise distortion script
- Perform inference to generate the final video
Hardware Configuration Recommendations:
- GPU: Recommended NVIDIA graphics card (CUDA support)
- Memory: at least 8GB (more memory required to handle HD video)
- Storage space: reserve enough space to store intermediate files and output results
This separated workflow ensures both flexibility in creative design and the ability to utilize the power of GPU arithmetic for optimal results.
This answer comes from the articleGo-with-the-Flow: Controls the movement of objects in the video, adding or subtracting any moving objects in the video.The
May not be reproduced without permission:AI productivity tools " What hardware requirements are needed when using Go-with-the-Flow? How do I carry out workflows in different hardware environments?
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