Image

Stable Diffusion

Stable Diffusion is a family of open image models you can run yourself or use through apps. Strengths, trade-offs and prompts to try.

Stable Diffusion logo or example image

What we like

  • Open models you can run on your own hardware
  • Deep control: negative prompts, community-trained styles and add-ons
  • Many apps and services build on it, so you can choose your interface

Watch out for

  • Setting it up yourself takes technical effort
  • Results depend heavily on the model and settings you choose
  • Licences differ between model versions, so check before commercial use

Stable Diffusion is a family of image-generation models first released by Stability AI. Many are available openly, which is why a large ecosystem of apps, add-ons and community-trained styles has grown around it.

What it is good at

If you want control, this is the tool. You can run it locally, steer it with negative prompts and extensions, and combine community styles. The trade-off is that you do more of the work.

How prompting works

Describe the subject, setting, light and style, then list what you do not want in the negative prompt. Settings such as steps and guidance change the result, so make small changes and compare.

Who should use it

Stable Diffusion suits tinkerers, developers and anyone who needs a custom workflow. If you want pleasing results with minimal setup, Midjourney or DALL-E may fit better.

Read our guide to negative prompts.

Prompts to try in Stable Diffusion

PROMPT 01
portrait of an elderly fisherman, weathered skin, soft overcast light, 85mm lens, shallow depth of field, natural colours
Add a negative prompt such as "blurry, extra fingers, low quality"
PROMPT 02
a hidden waterfall in a mossy forest valley, volumetric light, mist, highly detailed matte painting
Landscape
PROMPT 03
a minimalist glass perfume bottle on a pale stone pedestal, soft studio light, clean background, product photography
Product

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