runwayml/stable-diffusion-v1-5 cover image

runwayml/stable-diffusion-v1-5

Most widely used version of Stable Diffusion. Trained on 512x512 images, it can generate realistic images given text description

Most widely used version of Stable Diffusion. Trained on 512x512 images, it can generate realistic images given text description

Public

HTTP/cURL API

You can use cURL or any other http client to run inferences:

curl -X POST \
    -H "Authorization: bearer $DEEPINFRA_TOKEN"  \
    -F 'prompt=A photo of an astronaut riding a horse on Mars.'  \
    'https://api.deepinfra.com/v1/inference/runwayml/stable-diffusion-v1-5'

which will give you back something similar to:

{
  "images": [
    "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAIAAACQd1PeAAAADElEQVQI12PQz3wAAAJDAXkkWn+MAAAAAElFTkSuQmCC"
  ],
  "nsfw_content_detected": [
    false
  ],
  "seed": 42,
  "request_id": null,
  "inference_status": {
    "status": "unknown",
    "runtime_ms": 0,
    "cost": 0.0,
    "tokens_generated": 0,
    "tokens_input": 0
  }
}

Input fields

promptstring

text prompt


negative_promptstring

negative text prompt

Default value: ""


imagestring

starting image to use


num_imagesinteger

number of images to generate

Default value: 1

Range: 1 ≤ num_images ≤ 4


num_inference_stepsinteger

number of denoising steps

Default value: 25

Range: 1 ≤ num_inference_steps ≤ 512


guidance_scalenumber

classifier-free guidance, higher means follow prompt more closely

Default value: 7.5

Range: 1 ≤ guidance_scale ≤ 20


strengthnumber

how much to follow the input image. 1 means ignore the image, 0 means follow the image exactly

Default value: 0.8

Range: 0 ≤ strength ≤ 1


widthinteger

image width in px

Default value: 768

Allowed values: 1282563844485125766407047688328969601024


heightinteger

image height in px

Default value: 768

Allowed values: 1282563844485125766407047688328969601024


seedinteger

random seed, empty means random

Range: 0 ≤ seed


use_compelboolean

use compel library for weighted prompts

Default value: false


lorastring

Name of LoRA weights


lora_scalenumber

LoRA coefficients to apply

Default value: 1


webhookfile

The webhook to call when inference is done, by default you will get the output in the response of your inference request

Input Schema

Output Schema