How much GPU memory does Photon_v1 need?

About 6.1 GB to draw images: 2.13 GB of weights and the runtime's own memory.

What is the cheapest GPU to run Photon_v1?

Right now one RTX A4000 at $0.11 an hour; RTX PRO 5000 at $0.63 an hour is the best value for its speed. Prices are live offers from GPU clouds, checked every 15 minutes.

Can Photon_v1 run on an RTX 4090?

Yes: it needs about 6.1 GB and an RTX 4090 has 24 GB.

How do I deploy Photon_v1 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.

Models / Photon

digiplay/Photon_v1

Text to image · served with Diffusers · ↓ 4.9K downloads a month · View on Hugging Face

digiplay/Photon_v1 needs about 6.1 GB of GPU memory to draw images. It runs on one RTX A4000 from $0.11/h right now; best value: RTX PRO 5000 at $0.63/h.

Weights: 2.1 GB
GPU memory needed: about 6.1 GB
Memory · disk: 16 GB · 43 GB
Architecture: StableDiffusionPipeline
Licence: other

Hardware and deploy

Endpoint name

$0.63/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 Photon_v1 need?: About 6.1 GB to draw images: 2.13 GB of weights and the runtime's own memory.
What is the cheapest GPU to run Photon_v1?: Right now one RTX A4000 at $0.11 an hour; RTX PRO 5000 at $0.63 an hour is the best value for its speed. Prices are live offers from GPU clouds, checked every 15 minutes.
Can Photon_v1 run on an RTX 4090?: Yes: it needs about 6.1 GB and an RTX 4090 has 24 GB.
How do I deploy Photon_v1 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.

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