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adamo1139/stable-diffusion-3.5-large-turbo-ungated needs about 31.6 GB of GPU memory to draw images. It runs on one Nvidia A100 from $0.52/h right now; best value: RTX PRO 5000 at $0.64/h.
Weights
28 GB
GPU memory needed
about 31.6 GB
Memory · disk
41.1 GB · 71 GB
Architecture
StableDiffusion3Pipeline
Licence
other
Hardware and deploy
$0.64/h from your balance while it runs, billed by the hour; stop it from its page. GridPup rents the machine, which downloads the model from Hugging Face (usually ready in 10 to 15 minutes), and gives you an https address, keys and a Playground.
Questions
How much GPU memory does stable-diffusion-3.5-large-turbo-ungated need?
About 31.6 GB to draw images: 27.62 GB of weights and the runtime's own memory.
What is the cheapest GPU to run stable-diffusion-3.5-large-turbo-ungated?
Right now one Nvidia A100 at $0.52 an hour; RTX PRO 5000 at $0.64 an hour is the best value for its speed. Prices are live offers from GPU clouds, checked every 15 minutes.
Can stable-diffusion-3.5-large-turbo-ungated run on an RTX 4090?
Not on one: it needs about 31.6 GB and an RTX 4090 has 24 GB. An RTX 5090 (32 GB) is enough.
How do I deploy stable-diffusion-3.5-large-turbo-ungated as an API?
Pick a machine on its GridPup page and press Deploy: GridPup rents the GPU, downloads the model from Hugging Face and serves it at an https address with keys and OpenAI's image API, billed by the hour.
Prices are per hour for the whole machine and its disk, right now. Speed is Vast's DLPerf score of the machine, relative to the cheapest. Best value: the most speed per dollar. Only machines with a Vast reliability above 95% that download at 400 Mbit/s or more are offered: the machine fetches the model itself.