XpucT/Deliberate
The Deliberate Model allows for the creation of anything desired, with the potential for better results as the user's knowledge and detail in the prompt increase. The model is ideal for meticulous anatomy artists, creative prompt writers, art designers, and those seeking explicit content.
The Deliberate Model allows for the creation of anything desired, with the potential for better results as the user's knowledge and detail in the prompt increase. The model is ideal for meticulous anatomy artists, creative prompt writers, art designers, and those seeking explicit content.
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/XpucT/Deliberate'
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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