The cost has gone way down in the last couple months. With a super-cheap T4 GPU (free in Google Colab), PyTorch 2.0, and the latest diffusers package, you can

The cost has gone way down in the last couple months. With a super-cheap T4 GPU (free in Google Colab), PyTorch 2.0, and the latest diffusers package, you can now generate batches of 9-10 images in about the same time it took to 4 images when Stable Diffusion was first released. This drastically speeds up the cherry-picking and iteration processes: https://pytorch.org/blog/accelerated-diffusers-pt-20/ https://pytorch.org/blog/accelerated-diffusers-pt-20/ Google Cloud Platform also now has preview access to L4 GPUs, which are 1.5x the cost of a T4 GPU but 3x throughput for Stable diffusion workflows (maybe more given the PyTorch 2.0 improvements for newer architectures), although I haven't tested it: https://cloud.google.com/blog/products/compute/introducing-g2-vms-with-nvidia-l4-gpus https://cloud.google.com/blog/products/compute/introducing-g...