Modal cloud running solution mainly solves the problem of insufficient local hardware, and its core advantages are shown in:
Core Strengths Comparison:
- hardware-agnostic: No need for a local high-performance graphics card, directly invoke the cloud GPU resources
- Faster: Professional-grade graphics cards typically have better processing speeds than consumer-grade devices
- Environmental streamlining: No need to install complex drivers such as CUDA
Configuration Steps:
- Install the Modal client:
pip install modal - Get the account token:
modal token new(Follow the guidelines to login/register) - modifications
modal_voice_cloning.pyDocumentation:- set up
context_audio_pathetc. parameters (same as for local runs) - Ensure that the Hugging Face token is properly configured
- set up
- Initiate the task:
modal run modal_voice_cloning.py
Once the cloud processing is complete, the output file is automatically downloaded locally. Note that Modal has a limited amount of free credits, and a paid subscription may be required for high-frequency use.
This answer comes from the articleCSM Voice Cloning: Fast Voice Cloning with the CSM-1BThe
May not be reproduced without permission:AI productivity tools " What are the advantages of running with Modal Cloud over running locally? How exactly is it configured?
