Batch Image Generation With Configurable Parallelization

via “batch image generation with memory-efficient processing”

text-to-image model by undefined. 15,28,067 downloads.

Unique: Implements batching via standard PyTorch tensor operations without specialized memory optimization; batch size is user-controlled and limited only by VRAM, allowing flexible tradeoffs between speed and memory

vs others: Simple and transparent compared to automatic batching; less efficient than specialized batch schedulers but easier to debug and customize