How can you optimize the use of VRAM during large batch image generation tasks?

Optimizing VRAM usage during large batch image generation is crucial for preventing out-of-memory errors and maximizing throughput. Reducing the batch size is the most direct way to lower VRAM consumption, as it decreases the number of images processed simultaneously. Smaller batch sizes require less memory to store intermediate results. Consider using gradient accumulation, a technique that simulates a larger batch size by accumulating gradien....