Image Generation
curl --request POST \
--url http://localhost:9000/api/v1/replicate/imagegeneration \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"prompt": "<string>",
"width": 123,
"height": 123,
"scheduler": "<string>",
"num_outputs": 123,
"guidance_scale": 123,
"negative_prompt": "<string>",
"num_inference_steps": 123
}
'import requests
url = "http://localhost:9000/api/v1/replicate/imagegeneration"
payload = {
"prompt": "<string>",
"width": 123,
"height": 123,
"scheduler": "<string>",
"num_outputs": 123,
"guidance_scale": 123,
"negative_prompt": "<string>",
"num_inference_steps": 123
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
prompt: '<string>',
width: 123,
height: 123,
scheduler: '<string>',
num_outputs: 123,
guidance_scale: 123,
negative_prompt: '<string>',
num_inference_steps: 123
})
};
fetch('http://localhost:9000/api/v1/replicate/imagegeneration', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_PORT => "9000",
CURLOPT_URL => "http://localhost:9000/api/v1/replicate/imagegeneration",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'prompt' => '<string>',
'width' => 123,
'height' => 123,
'scheduler' => '<string>',
'num_outputs' => 123,
'guidance_scale' => 123,
'negative_prompt' => '<string>',
'num_inference_steps' => 123
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "http://localhost:9000/api/v1/replicate/imagegeneration"
payload := strings.NewReader("{\n \"prompt\": \"<string>\",\n \"width\": 123,\n \"height\": 123,\n \"scheduler\": \"<string>\",\n \"num_outputs\": 123,\n \"guidance_scale\": 123,\n \"negative_prompt\": \"<string>\",\n \"num_inference_steps\": 123\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("http://localhost:9000/api/v1/replicate/imagegeneration")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"prompt\": \"<string>\",\n \"width\": 123,\n \"height\": 123,\n \"scheduler\": \"<string>\",\n \"num_outputs\": 123,\n \"guidance_scale\": 123,\n \"negative_prompt\": \"<string>\",\n \"num_inference_steps\": 123\n}")
.asString();require 'uri'
require 'net/http'
url = URI("http://localhost:9000/api/v1/replicate/imagegeneration")
http = Net::HTTP.new(url.host, url.port)
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"prompt\": \"<string>\",\n \"width\": 123,\n \"height\": 123,\n \"scheduler\": \"<string>\",\n \"num_outputs\": 123,\n \"guidance_scale\": 123,\n \"negative_prompt\": \"<string>\",\n \"num_inference_steps\": 123\n}"
response = http.request(request)
puts response.read_bodyImage Generation
Image Generation
Image generation using the lucataco/dreamshaper-xl-turbo AI Model.
POST
v1
/
replicate
/
imagegeneration
Image Generation
curl --request POST \
--url http://localhost:9000/api/v1/replicate/imagegeneration \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"prompt": "<string>",
"width": 123,
"height": 123,
"scheduler": "<string>",
"num_outputs": 123,
"guidance_scale": 123,
"negative_prompt": "<string>",
"num_inference_steps": 123
}
'import requests
url = "http://localhost:9000/api/v1/replicate/imagegeneration"
payload = {
"prompt": "<string>",
"width": 123,
"height": 123,
"scheduler": "<string>",
"num_outputs": 123,
"guidance_scale": 123,
"negative_prompt": "<string>",
"num_inference_steps": 123
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
prompt: '<string>',
width: 123,
height: 123,
scheduler: '<string>',
num_outputs: 123,
guidance_scale: 123,
negative_prompt: '<string>',
num_inference_steps: 123
})
};
fetch('http://localhost:9000/api/v1/replicate/imagegeneration', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_PORT => "9000",
CURLOPT_URL => "http://localhost:9000/api/v1/replicate/imagegeneration",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'prompt' => '<string>',
'width' => 123,
'height' => 123,
'scheduler' => '<string>',
'num_outputs' => 123,
'guidance_scale' => 123,
'negative_prompt' => '<string>',
'num_inference_steps' => 123
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "http://localhost:9000/api/v1/replicate/imagegeneration"
payload := strings.NewReader("{\n \"prompt\": \"<string>\",\n \"width\": 123,\n \"height\": 123,\n \"scheduler\": \"<string>\",\n \"num_outputs\": 123,\n \"guidance_scale\": 123,\n \"negative_prompt\": \"<string>\",\n \"num_inference_steps\": 123\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("http://localhost:9000/api/v1/replicate/imagegeneration")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"prompt\": \"<string>\",\n \"width\": 123,\n \"height\": 123,\n \"scheduler\": \"<string>\",\n \"num_outputs\": 123,\n \"guidance_scale\": 123,\n \"negative_prompt\": \"<string>\",\n \"num_inference_steps\": 123\n}")
.asString();require 'uri'
require 'net/http'
url = URI("http://localhost:9000/api/v1/replicate/imagegeneration")
http = Net::HTTP.new(url.host, url.port)
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"prompt\": \"<string>\",\n \"width\": 123,\n \"height\": 123,\n \"scheduler\": \"<string>\",\n \"num_outputs\": 123,\n \"guidance_scale\": 123,\n \"negative_prompt\": \"<string>\",\n \"num_inference_steps\": 123\n}"
response = http.request(request)
puts response.read_bodyQuery
string
default:"lucataco/dreamshaper-xl-turbo"
required
The image model to be used;
Body
string
required
Input prompt
int
default:"1024"
Width of output image. Recommended 1024 or 1280
int
default:"1024"
Height of output image. Recommended 1024 or 1280
string
default:"K_EULER"
scheduler
int
default:"1"
Number of images to output.
float
default:"2.0"
Scale for classifier-free guidance. Recommended 7-8
string
Negative Input prompt
int
default:"6"
Number of denoising steps. 4 for best results
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