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AI Tool Blog Stable Diffusion 3.5 learning hub

Run Stable Diffusion 3.5 your way.

Stable Diffusion 3.5 is Stability AI’s open image model family: three sizes released with downloadable weights, from an 8.1-billion-parameter professional model to a Medium build that runs on consumer hardware, under a licence that is free for most commercial use.

Capabilities and specifications on this page come from Stability AI’s official pages and published model documentation. Licensing terms and prices are set by the vendor and change without notice.

Official examples

What Stable Diffusion 3.5 renders

These are Stability AI’s own examples from the Stable Diffusion 3.5 announcement and its image-models page. Together they cover what the family is sold on: photorealism, text inside the image, prompt adherence and style range.

Official Stable Diffusion 3.5 example of a woman lying in grass, with the model name set in cheerful cursive type
The announcement image sets its own name in cursive type over a photoreal portrait — the two capabilities the release leads on, in one frame.
Official Stable Diffusion 3.5 example of a blue mug reading Good Morning, Sunshine! on a yellow background
Text as the subject: the mug carries a legible line of type and modelled ceramic detail, which is exactly where image models usually break.
Official Stable Diffusion 3.5 prompt-adherence triptych, with each prompt printed beneath the image it produced
Three prompts printed beneath the images they produced — potions labelled MANA, HEALTH and POISON among them. This claim is shown rather than stated.
Official Stable Diffusion 3.5 collage of a CRT screen showing a landscape, with the headline We’re Leaving For the Future
A generated magazine collage: a gridded CRT screen, halftone, torn paper, layered cutout shapes and a legible headline — graphic design rather than illustration.
Official Stable Diffusion 3.5 illustration of a desert landscape with cacti and a winding stone stair
A coloured line-art landscape: mountains, cacti and a stepped path drawn in an illustrative style with no photographic intent at all.
Official Stable Diffusion 3.5 portrait of a red-haired woman in a beret and glasses, with warm background bokeh
Photorealism with shallow depth of field and warm bokeh — the portrait case these base models are judged on.

Example images belong to Stability AI and are reproduced with credit: Stability AI image models

Overview

What Stable Diffusion 3.5 is

Stable Diffusion 3.5 is Stability AI’s open image model family, released in three sizes with downloadable weights. What makes it unusual here is the delivery: unlike the API-only models in this directory, SD3.5 can be self-hosted, fine-tuned and shipped commercially at no cost below a documented revenue threshold.

01

Three sizes, three jobs

Large is the 8.1-billion-parameter professional model; Large Turbo is the distilled build that reaches high quality in about four steps; Medium is the 2.5-billion-parameter one designed to run out of the box on consumer hardware.

02

Weights you can hold

All three variants are published on Hugging Face with the inference code on GitHub, so the model can be fine-tuned, optimised or run entirely offline.

03

A licence with a threshold

The Stability AI Community License is free for non-commercial use and for commercial use under $1M in annual revenue; above that threshold an enterprise licence applies, and outputs stay yours either way.

04

A trade-off the vendor admits

Stability states that variation between seeds on the same prompt is deliberate, preserving a broader knowledge base and diverse styles — and that unspecific prompts may therefore return more uncertain, aesthetically uneven results.

Model family

SD3.5 variants and the hosted services

Stability AI documents three downloadable SD3.5 variants plus two named hosted services. The rows summarise what the vendor says each one is for; the positioning is Stability’s own.

Variant What the vendor documents Choose it for
Stable Diffusion 3.5 Large 8.1 billion parameters; the most powerful model in the family, with the strongest prompt adherence. Professional work at 1 megapixel.
Stable Diffusion 3.5 Large Turbo A distilled build of Large that reaches high-quality output in about four steps, and is considerably faster. Volume and iteration, where speed decides.
Stable Diffusion 3.5 Medium 2.5 billion parameters on an improved MMDiT-X architecture, designed to run out of the box on consumer hardware. Local generation between 0.25 and 2 megapixels.
Stable Image Ultra A hosted service powered by the most advanced Stability models including SD3.5, aimed at photorealism. Product imagery for marketing and advertising.
Stable Image Core A hosted service built on an enhanced SDXL, tuned for speed at about half the price of SDXL. High-volume generation where cost per image matters.

Stability AI lists Stable Diffusion XL and SDXL Turbo as additional image models. Only the SD3.5 variants are open-weight releases; Stable Image Ultra and Core are API services with their own pricing.

Capabilities

What Stable Diffusion 3.5 does well

Every claim below is documented on Stability AI’s official pages. Figures the vendor does not publish — accuracy rates, head-to-head scores — are left out rather than estimated.

01

Text inside the image

Stability documents unprecedented text quality with fewer errors in spelling, kerning, letter forming and spacing, and shows it with legible lettering in the release examples.

02

Prompt adherence

The vendor’s own analysis places SD3.5 Large at the front of its class on following a prompt closely, and documents comprehension of long prompts that involve spatial reasoning, composition and style.

03

Versatile styles

3D, photography, painting, line art and effectively any visual style are all documented outputs, which is what makes one base model workable as the starting point for a fine-tune.

04

Diverse outputs

Stability documents images that represent a diversity of people and scenes without extensive prompting, and states that seed-to-seed variation is deliberate rather than a defect.

05

Customizability

The base models are built to be adapted: Query-Key Normalization in the transformer blocks stabilises training and simplifies downstream fine-tuning.

Specs

Documented specifications

Compiled from Stability AI’s official pages and the published model documentation. Where the vendor publishes no figure, that is stated instead of estimated.

Developer
Stability AI
Open-weight variants
SD3.5 Large · SD3.5 Large Turbo · SD3.5 Medium
SD3.5 Large parameters
8.1 billion
SD3.5 Medium parameters
2.5 billion
SD3.5 Medium output range
0.25 to 2 megapixels
SD3.5 Large output
1 megapixel
SD3.5 Medium memory
9.9 GB VRAM, excluding text encoders, for full performance
Large Turbo steps
About four
Licence
Stability AI Community License
Commercial use
Free below $1M annual revenue; enterprise licence above it
Output ownership
The user retains ownership of generated media
Distribution
Weights on Hugging Face; inference code on GitHub
Editing services
Erase · inpaint · outpaint · conservative, creative and fast upscale · sketch, structure and style control
Pricing
Not reproduced here; Stability AI and its cloud partners set their own
How to use it

Documented access channels

Stable Diffusion 3.5 is reachable in four materially different ways, from running the weights yourself to calling a partner cloud. They differ in cost and control, but not in licence terms.

Self-hosted weights

Download the models from Hugging Face and the inference code from GitHub, then run them on your own hardware.

Open

Stability AI API

The official REST API exposes SD3.5 alongside Stable Image Ultra and Core and the editing, upscaling and control services.

Open

Cloud partners

The same models are served through partner clouds, which removes the infrastructure work but not the licence terms.

Stable Assistant

Stability AI’s own web application exposes its models and editing tools with no local setup.

Open
FAQ

Stable Diffusion questions people search for

What is Stable Diffusion 3.5?

Stable Diffusion 3.5 is Stability AI’s open image model family, released in three sizes — Large, Large Turbo and Medium — with downloadable weights and a licence that is free for most commercial use.

Is Stable Diffusion 3.5 free?

For most users, yes. The Stability AI Community License is free for non-commercial use and for commercial use by organisations under $1M in annual revenue; above that an enterprise licence applies. Hosted services such as Stable Image Ultra are billed separately and are not covered by it.

Can I run Stable Diffusion 3.5 on my own computer?

Yes. The weights are published on Hugging Face. Stability documents SD3.5 Medium as running out of the box on consumer hardware and needing 9.9 GB of VRAM, excluding text encoders, to reach full performance; Large and Large Turbo need more.

What is the difference between the three SD3.5 variants?

Large is the 8.1-billion-parameter quality model, Large Turbo is a distilled version that reaches high quality in about four steps, and Medium is the 2.5-billion-parameter build designed for consumer hardware, generating between 0.25 and 2 megapixels.

Can Stable Diffusion 3.5 render readable text?

Yes — Stability documents unprecedented text quality with fewer spelling, kerning, letter-forming and spacing errors, and shows legible lettering in the official examples. Test it with your own copy anyway, because small type is where every image model eventually fails.

Is Stable Diffusion open source?

The SD3.5 weights are openly published and the licence permits commercial use below a revenue threshold. That is open weights under a community licence rather than an unrestricted open-source licence, and an organisation above the threshold needs a commercial licence.

Why do I get different images from the same prompt?

That variation is documented and intentional. Stability states that seed-to-seed variation preserves a broader knowledge base and diverse styles in the base models, and that prompts lacking specificity may therefore produce more uncertainty and uneven aesthetic results.