Stable Diffusion 3.5 Large

Text to Image

Stable Diffusion 3.5 Large is a Multimodal Diffusion Transformer (MMDiT) text-to-image model that features improved performance in image quality, typography, complex prompt understanding, and resource-efficiency.

Inference$ Commercial useFrom 3 credits per run

About Stable Diffusion 3.5 Large

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Pricing

A run with the default settings costs 3 credits. The exact cost updates in the playground as you change settings, and you're only charged when you press Run. Failed runs are refunded automatically.

Inputs

prompttextarearequired

The prompt to generate an image from.

negative_prompttextareadefault: ""

The negative prompt to use. Use it to address details that you don't want in the image. This could be colors, objects, scenery and even the small details (e.g. moustache, blurry, low resolution).

num_inference_stepsintegerdefault: 28

The number of inference steps to perform.

seedinteger

The same seed and the same prompt given to the same version of the model will output the same image every time.

guidance_scalenumberdefault: 3.5

The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you.

sync_modebooleandefault: false

If `True`, the media will be returned as a data URI and the output data won't be available in the request history.

num_imagesintegerdefault: 1

The number of images to generate.

enable_safety_checkerbooleandefault: true

If set to true, the safety checker will be enabled. Disabling it requires account authorization; unauthorized requests are always checked, and images flagged as unsafe are returned as black images.

output_formatselectdefault: "jpeg"

The format of the generated image.

Options: jpeg, png

controlnetjson

ControlNet for inference.

image_sizeselect

The size of the generated image. Defaults to landscape_4_3 if no controlnet has been passed, otherwise defaults to the size of the controlnet conditioning image.

Options: square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9

lorasjsondefault: []

The LoRAs to use for the image generation. You can use any number of LoRAs and they will be merged together to generate the final image.

ip_adapterjson

IP-Adapter to use during inference.

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