Models / stable-diffusion-3.5-large-turbo

stable-diffusion-3.5-large-turbo by stabilityai

GPU memory needed (smallest version of each): stable-diffusion-3.5-large-turbo ~8.15B about 47.9 GB. The cheapest runs on Nvidia A40 from $0.60/h right now.

1 model (~8.15B) · ↓ 5.8K downloads a month · from $0.60/h on Nvidia A40 right now. Each model's versions do the same job; quantized ones (AWQ, FP8, 4-bit) need less GPU memory and run on cheaper machines.

Model details come from Hugging Face and are refreshed daily; prices follow the live offers. GPU memory is GridPup's estimate: the weights, room for an 8,192-token conversation (chat models) and the runtime's own memory. Large models are split across the GPUs of one machine ("4x RTX 4090").