I’m starting a project to merge images using vision models (e.g., blending, text-guided manipulation) and want to avoid local setup due to hardware constraints.
Pros/Cons of Google Colab vs. Local IDE:
- Colab: Free GPU access, no setup, but limited runtime and privacy concerns.
- Local IDE: Full control, but requires hardware investment and environment configuration.
Questions:
- For non-local development , are there alternatives to Colab (e.g., Kaggle, AWS SageMaker) better suited for iterative prototyping?
- How do you handle large datasets or model dependencies in cloud notebooks?
Any tips for optimizing workflows in restricted environments would be appreciated!