Leonardo.Ai vs Stable Diffusion

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Free plan: Both have one
Public API: Both have one
Best fit: Leonardo.Ai: Game and product teams that need consistent assets from a fine-tune they control · Stable Diffusion: Developers and studios that need generation on their own infrastructure with no per-call cost
Platforms: Leonardo.Ai: Web, iOS, Android · Stable Diffusion: Web, Windows, macOS, Linux
Trust score: About even — Leonardo.Ai 87, Stable Diffusion 90

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

Leonardo.AiToken-metered image workspace with fine-tuned model presets

Stable DiffusionOpen-weight image models, free to run below $1M revenue

Side by side

Fact	Leonardo.Ai	Stable Diffusion
Category	Text-to-Image Generators	Text-to-Image Generators
Pricing model	Freemium	Freemium
Public API	Yes	Yes
Trust score	87 / 100	90 / 100
Platforms	Web, API, iOS, Android	API, Web, Windows, macOS, Linux
Company	Canva	Stability AI Ltd
Launched	2022	2022
Last verified	Oct 23, 2026	Oct 15, 2026

What our research says

Leonardo.Ai

Leonardo is the generator to pick when you need control over the model rather than one house style, and it is the only major one with a real API and custom training. Token accounting is the tax you pay for that flexibility.

Pros

Large library of fine-tuned model presets instead of a single opinionated model
Custom model training on your own images is available without an enterprise contract
A genuine documented API, which the obvious competitor still does not have
Free tier of 150 daily tokens is enough to evaluate properly

Cons

Token costs differ by model, resolution and feature, so per-image cost is hard to predict
150 free tokens go in roughly ten generations
Concurrency and queue position are tier-gated, so cheap plans wait
Roadmap now serves Canva's product priorities, not standalone power users

Stable Diffusion

The reason a local generation ecosystem exists at all, and still the right answer when you need weights on your own hardware with no per-image meter. Just be clear about what you are adopting: the models are open, the licence is not unconditional, and Stability's own commercial attention has moved to enterprise custom models and audio, with the public plan pages for its hosted apps now gone.

Pros

Weights genuinely run locally, so cost per image after hardware is electricity
The community licence explicitly permits derivative LoRAs and fine-tunes
An enormous body of community checkpoints, tooling and interfaces exists around these models
Hosted access exists through the developer platform and Amazon Bedrock for teams without a GPU

Cons

The $1M revenue threshold turns a free licence into a quote-only negotiation with no public price
The pricing URL redirects to a Brand Studio plans page that now returns 404; no public plan table remains
Hosted API prices sit behind a bot challenge on the developer platform, so budgeting needs a signed-in account
Running locally means owning the GPU, the updates and the safety tooling yourself

Which one fits

Choose Leonardo.Ai if you need

Game and product teams that need consistent assets from a fine-tune they control
Anyone who wants generation, canvas editing and upscaling in one place
Developers who need image generation behind an API rather than a chat window
Users who want to train a model on their own reference set

Choose Stable Diffusion if you need

Developers and studios that need generation on their own infrastructure with no per-call cost
Anyone fine-tuning or training LoRAs on a specific style, product or character
Privacy-sensitive or offline workloads where images cannot leave the building