HTTP/cURL API
You can use cURL or any other http client to run inferences:
curl -X POST \
-d '{"prompt": "A photo of an astronaut riding a horse on Mars."}' \
-H "Authorization: bearer $DEEPINFRA_TOKEN" \
-H 'Content-Type: application/json' \
'https://api.deepinfra.com/v1/inference/CompVis/stable-diffusion-v1-4'
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
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
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
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