Image Generation
curl --request POST \
--url http://localhost:9000/api/v1/replicate/imagegeneration \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: multipart/form-data' \
--form 'prompt=<string>' \
--form width=123 \
--form height=123 \
--form num_outputs=123 \
--form 'negative_prompt=<string>' \
--form num_inference_steps=123 \
--form 'scheduler=<string>' \
--form guidance_scale=123 \
--form prompt_strength=123 \
--form lora_scale=123 \
--form image='@example-file' \
--form mask='@example-file'import requests
url = "http://localhost:9000/api/v1/replicate/imagegeneration"
files = {
"image": ("example-file", open("example-file", "rb")),
"mask": ("example-file", open("example-file", "rb"))
}
payload = {
"prompt": "<string>",
"width": "123",
"height": "123",
"num_outputs": "123",
"negative_prompt": "<string>",
"num_inference_steps": "123",
"scheduler": "<string>",
"guidance_scale": "123",
"prompt_strength": "123",
"lora_scale": "123"
}
headers = {"Authorization": "Bearer <token>"}
response = requests.post(url, data=payload, files=files, headers=headers)
print(response.text)const form = new FormData();
form.append('prompt', '<string>');
form.append('width', '123');
form.append('height', '123');
form.append('num_outputs', '123');
form.append('negative_prompt', '<string>');
form.append('num_inference_steps', '123');
form.append('scheduler', '<string>');
form.append('guidance_scale', '123');
form.append('prompt_strength', '123');
form.append('lora_scale', '123');
form.append('image', '{
"fileName": "example-file"
}');
form.append('mask', '{
"fileName": "example-file"
}');
const options = {method: 'POST', headers: {Authorization: 'Bearer <token>'}};
options.body = form;
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 => "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"width\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"height\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"num_outputs\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"negative_prompt\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"num_inference_steps\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"scheduler\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"guidance_scale\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt_strength\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"lora_scale\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n{\r\n \"fileName\": \"example-file\"\r\n}\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"mask\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n{\r\n \"fileName\": \"example-file\"\r\n}\r\n-----011000010111000001101001--",
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: multipart/form-data"
],
]);
$response = curl_exec($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("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"width\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"height\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"num_outputs\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"negative_prompt\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"num_inference_steps\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"scheduler\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"guidance_scale\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt_strength\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"lora_scale\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n{\r\n \"fileName\": \"example-file\"\r\n}\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"mask\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n{\r\n \"fileName\": \"example-file\"\r\n}\r\n-----011000010111000001101001--")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
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>")
.body("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"width\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"height\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"num_outputs\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"negative_prompt\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"num_inference_steps\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"scheduler\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"guidance_scale\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt_strength\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"lora_scale\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n{\r\n \"fileName\": \"example-file\"\r\n}\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"mask\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n{\r\n \"fileName\": \"example-file\"\r\n}\r\n-----011000010111000001101001--")
.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.body = "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"width\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"height\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"num_outputs\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"negative_prompt\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"num_inference_steps\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"scheduler\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"guidance_scale\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt_strength\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"lora_scale\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n{\r\n \"fileName\": \"example-file\"\r\n}\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"mask\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n{\r\n \"fileName\": \"example-file\"\r\n}\r\n-----011000010111000001101001--"
response = http.request(request)
puts response.read_bodyImage Generation
Image Generation
Image generation using the playgroundai/playground-v2.5-1024px-aesthetic 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: multipart/form-data' \
--form 'prompt=<string>' \
--form width=123 \
--form height=123 \
--form num_outputs=123 \
--form 'negative_prompt=<string>' \
--form num_inference_steps=123 \
--form 'scheduler=<string>' \
--form guidance_scale=123 \
--form prompt_strength=123 \
--form lora_scale=123 \
--form image='@example-file' \
--form mask='@example-file'import requests
url = "http://localhost:9000/api/v1/replicate/imagegeneration"
files = {
"image": ("example-file", open("example-file", "rb")),
"mask": ("example-file", open("example-file", "rb"))
}
payload = {
"prompt": "<string>",
"width": "123",
"height": "123",
"num_outputs": "123",
"negative_prompt": "<string>",
"num_inference_steps": "123",
"scheduler": "<string>",
"guidance_scale": "123",
"prompt_strength": "123",
"lora_scale": "123"
}
headers = {"Authorization": "Bearer <token>"}
response = requests.post(url, data=payload, files=files, headers=headers)
print(response.text)const form = new FormData();
form.append('prompt', '<string>');
form.append('width', '123');
form.append('height', '123');
form.append('num_outputs', '123');
form.append('negative_prompt', '<string>');
form.append('num_inference_steps', '123');
form.append('scheduler', '<string>');
form.append('guidance_scale', '123');
form.append('prompt_strength', '123');
form.append('lora_scale', '123');
form.append('image', '{
"fileName": "example-file"
}');
form.append('mask', '{
"fileName": "example-file"
}');
const options = {method: 'POST', headers: {Authorization: 'Bearer <token>'}};
options.body = form;
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 => "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"width\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"height\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"num_outputs\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"negative_prompt\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"num_inference_steps\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"scheduler\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"guidance_scale\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt_strength\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"lora_scale\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n{\r\n \"fileName\": \"example-file\"\r\n}\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"mask\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n{\r\n \"fileName\": \"example-file\"\r\n}\r\n-----011000010111000001101001--",
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: multipart/form-data"
],
]);
$response = curl_exec($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("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"width\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"height\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"num_outputs\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"negative_prompt\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"num_inference_steps\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"scheduler\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"guidance_scale\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt_strength\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"lora_scale\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n{\r\n \"fileName\": \"example-file\"\r\n}\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"mask\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n{\r\n \"fileName\": \"example-file\"\r\n}\r\n-----011000010111000001101001--")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
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>")
.body("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"width\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"height\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"num_outputs\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"negative_prompt\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"num_inference_steps\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"scheduler\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"guidance_scale\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt_strength\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"lora_scale\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n{\r\n \"fileName\": \"example-file\"\r\n}\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"mask\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n{\r\n \"fileName\": \"example-file\"\r\n}\r\n-----011000010111000001101001--")
.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.body = "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"width\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"height\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"num_outputs\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"negative_prompt\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"num_inference_steps\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"scheduler\"\r\n\r\n<string>\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"guidance_scale\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt_strength\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"lora_scale\"\r\n\r\n123\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n{\r\n \"fileName\": \"example-file\"\r\n}\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"mask\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n{\r\n \"fileName\": \"example-file\"\r\n}\r\n-----011000010111000001101001--"
response = http.request(request)
puts response.read_bodyQuery
string
default:"playgroundai/playground-v2.5-1024px-aesthetic"
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
int
default:"1"
Number of images to output.
string
Negative Input prompt
int
default:"25"
Number of denoising steps. 4 for best results
string
default:"DPMSolver++"
Scheduler. DPMSolver++ or DPM++2MKarras is recommended for most cases
float
default:"3.0"
Scale for classifier-free guidance
float
default:"0.8"
Prompt strength when using img2img / inpaint. 1.0 corresponds to full destruction of information in image
float
default:"0.6"
LoRA additive scale. Only applicable on trained models.
file
Input image for img2img or inpaint mode
file
Input image for img2img or inpaint mode
Was this page helpful?
⌘I