bghira
commented
1 week ago it sounds like a better job for an external integration of some kind, too high level for the tool to do itself.
Closed rafstahelin closed 1 week ago
bghira
commented
1 week ago it sounds like a better job for an external integration of some kind, too high level for the tool to do itself.
Overview
We propose integrating SimpleTuner with serverless CLI-based cloud services, specifically Modal, to provide users with a faster, more accessible deployment option for training.
Background Cloud services like Modal offer serverless CLI-based, dockerless-containers that deploy significantly faster compared to traditional AI cloud services such as Vast and RunPod. AI-Toolkit has demonstrated the potential of this approach with a Python script that bootstraps their training process using a low learning rate.
Proposed Implementation
Develop a Python script for SimpleTuner that:
Allows users to link their local dataset and config files Interfaces with Modal's CLI client Handles the deployment and execution of SimpleTuner training on Modal's infrastructure
Installing Modal's CLI client Configuring the integration script Executing the training process on Modal
Benefits
Faster Deployment: Reduce the time from setup to training start. Simplified Workflow: Eliminate the need for manual Docker container management. Improved Accessibility: Lower the barrier to entry for users new to cloud-based training. Scalability: Facilitate easy scaling to multiple GPUs for larger training jobs. Cost-Effective: Potentially reduce costs through more efficient resource utilization.
Technical Considerations
Ensure compatibility between SimpleTuner's requirements and Modal's environment. Implement robust error handling and logging for remote execution. Consider security measures for handling sensitive data (e.g., API keys, dataset access). Explore options for real-time monitoring and control of remote training jobs.
Future Expansion
While initially focusing on Modal, this integration could serve as a template for supporting other similar cloud services in the future, providing users with more options and flexibility. Community Impact This integration would significantly benefit the training community by:
Providing easier access to powerful computing resources Reducing the technical knowledge required for cloud deployments Enabling more users to experiment with large-scale training
We believe this feature would be a valuable addition to SimpleTuner, enhancing its versatility and appeal to a broader user base. We welcome feedback and suggestions from the community on this proposal.