stable-diffusion-3.5-large Memory at each precision, the licence in plain words, and where it fits.
Short answer. stable-diffusion-3.5-large needs about 6.1 GB of memory at 4-bit, 10 GB at 8-bit and 18 GB at full 16-bit precision, including runtime overhead. It has about 8.1 billion parameters. Licence in short: commercial use under a revenue threshold. By memory alone, on ANVE’s launch configurations: ANVE One fits at BF16, ANVE Office fits at BF16, ANVE Office Pro (GPU) fits at BF16. These are estimates from its published size, not benchmarks.
01
What it is
stable-diffusion-3.5-large is an image-generation model that creates pictures from text prompts, published by Stability AI on Hugging Face on 22 October 2024. It has about 8.1 billion parameters.
Its card lists the licence as Stability AI Community License. In short, the licence allows commercial use for organisations with under US$1 million in annual revenue; larger organisations need an enterprise licence. Access on Hugging Face requires accepting the publisher’s terms first.
Hugging Face counted about 99,740 downloads of it in the 30 days before we checked (7 Oct 2026), and 4,105 people have liked it there.
02
How much memory it needs
The arithmetic: parameters × bits per weight ÷ 8 gives the weights, plus about 1.5 GB for the runtime. These are planning estimates, not measurements.
Image models also load text encoders and a decoder (VAE) next to the main network, which can add several GB at full precision.
Precision
Weights
Total, estimated
BF16 (full precision)
16 GB
18 GB
8-bit (Q8_0)
8.7 GB
10 GB
4-bit (Q4_K)
4.6 GB
6.1 GB
03
Will it fit on ANVE?
How the verdicts are worked out: on ANVE One, about three quarters of 64 GB of unified memory is available to the model; on ANVE Office and ANVE Office Pro, the model has to fit in the 24 GB on the graphics card, with 64 GB or 128 GB of system memory for everything else. This is arithmetic against the launch specification, not a test. ANVE’s tested default is Qwen 3.8 27B; this model is not yet validated on ANVE.
Configuration (at launch)
Memory for the model
Verdict
ANVE One
about 48 GB of 64 GB unified memory
fits at BF16
ANVE Office
24 GB on the RTX PRO 4000 Blackwell SFF Edition
fits at BF16
ANVE Office Pro (GPU)
24 GB on the RTX PRO 4000 Blackwell
fits at BF16
04
What an office would use it for
For an office, image generation is useful for slide visuals and campaign drafts. Check the licence: several image models do not allow commercial use.
05
Variants with the same size
stable-diffusion-3.5-large-turbo: a faster variant that trades some quality for speed (same parameter count, so the memory figures above apply).
06
Questions people ask
How much memory does stable-diffusion-3.5-large need?
About 6.1 GB at 4-bit, 10 GB at 8-bit and 18 GB at full 16-bit precision, including about 1.5 GB of runtime overhead. These are estimates from its parameter count.
Can stable-diffusion-3.5-large run on a 24 GB graphics card?
Yes, at BF16 by this estimate, with room left for context.
Is stable-diffusion-3.5-large free for commercial use?
Its card lists Stability AI Community License, which allows commercial use for organisations with under US$1 million in annual revenue; larger organisations need an enterprise licence. Read the licence itself before relying on this summary; it is not legal advice.
07
What is not real yet
No sealed ANVE unit exists; every image of the appliance on this site is a labelled render. The software runs today on a development machine. No customers yet, no certifications, no delivery date, and the final price is not announced.
Reservations are ₹999 in India or US$12 elsewhere, refundable in full until you confirm an order in writing (terms). Offices that cannot use cloud AI can apply to be one of ten design partners.
