Text to Image

Text To Image

curl --request POST \
  --url https://dream-gateway.livepeer.cloud/text-to-image \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "prompt": "<string>",
  "model_id": "",
  "loras": "",
  "height": 576,
  "width": 1024,
  "guidance_scale": 7.5,
  "negative_prompt": "",
  "safety_check": true,
  "seed": 123,
  "num_inference_steps": 50,
  "num_images_per_prompt": 1
}
'

import requests

url = "https://dream-gateway.livepeer.cloud/text-to-image"

payload = {
    "prompt": "<string>",
    "model_id": "",
    "loras": "",
    "height": 576,
    "width": 1024,
    "guidance_scale": 7.5,
    "negative_prompt": "",
    "safety_check": True,
    "seed": 123,
    "num_inference_steps": 50,
    "num_images_per_prompt": 1
}
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>',
    model_id: '',
    loras: '',
    height: 576,
    width: 1024,
    guidance_scale: 7.5,
    negative_prompt: '',
    safety_check: true,
    seed: 123,
    num_inference_steps: 50,
    num_images_per_prompt: 1
  })
};

fetch('https://dream-gateway.livepeer.cloud/text-to-image', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://dream-gateway.livepeer.cloud/text-to-image",
  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>',
    'model_id' => '',
    'loras' => '',
    'height' => 576,
    'width' => 1024,
    'guidance_scale' => 7.5,
    'negative_prompt' => '',
    'safety_check' => true,
    'seed' => 123,
    'num_inference_steps' => 50,
    'num_images_per_prompt' => 1
  ]),
  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 := "https://dream-gateway.livepeer.cloud/text-to-image"

	payload := strings.NewReader("{\n  \"prompt\": \"<string>\",\n  \"model_id\": \"\",\n  \"loras\": \"\",\n  \"height\": 576,\n  \"width\": 1024,\n  \"guidance_scale\": 7.5,\n  \"negative_prompt\": \"\",\n  \"safety_check\": true,\n  \"seed\": 123,\n  \"num_inference_steps\": 50,\n  \"num_images_per_prompt\": 1\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("https://dream-gateway.livepeer.cloud/text-to-image")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"prompt\": \"<string>\",\n  \"model_id\": \"\",\n  \"loras\": \"\",\n  \"height\": 576,\n  \"width\": 1024,\n  \"guidance_scale\": 7.5,\n  \"negative_prompt\": \"\",\n  \"safety_check\": true,\n  \"seed\": 123,\n  \"num_inference_steps\": 50,\n  \"num_images_per_prompt\": 1\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://dream-gateway.livepeer.cloud/text-to-image")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"prompt\": \"<string>\",\n  \"model_id\": \"\",\n  \"loras\": \"\",\n  \"height\": 576,\n  \"width\": 1024,\n  \"guidance_scale\": 7.5,\n  \"negative_prompt\": \"\",\n  \"safety_check\": true,\n  \"seed\": 123,\n  \"num_inference_steps\": 50,\n  \"num_images_per_prompt\": 1\n}"

response = http.request(request)
puts response.read_body

{
  "images": [
    {
      "url": "<string>",
      "seed": 123,
      "nsfw": true
    }
  ]
}

{
  "detail": {
    "msg": "<string>"
  }
}

{
  "detail": {
    "msg": "<string>"
  }
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>"
    }
  ]
}

{
  "detail": {
    "msg": "<string>"
  }
}

POST

text-to-image

Text To Image

curl --request POST \
  --url https://dream-gateway.livepeer.cloud/text-to-image \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "prompt": "<string>",
  "model_id": "",
  "loras": "",
  "height": 576,
  "width": 1024,
  "guidance_scale": 7.5,
  "negative_prompt": "",
  "safety_check": true,
  "seed": 123,
  "num_inference_steps": 50,
  "num_images_per_prompt": 1
}
'

import requests

url = "https://dream-gateway.livepeer.cloud/text-to-image"

payload = {
    "prompt": "<string>",
    "model_id": "",
    "loras": "",
    "height": 576,
    "width": 1024,
    "guidance_scale": 7.5,
    "negative_prompt": "",
    "safety_check": True,
    "seed": 123,
    "num_inference_steps": 50,
    "num_images_per_prompt": 1
}
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>',
    model_id: '',
    loras: '',
    height: 576,
    width: 1024,
    guidance_scale: 7.5,
    negative_prompt: '',
    safety_check: true,
    seed: 123,
    num_inference_steps: 50,
    num_images_per_prompt: 1
  })
};

fetch('https://dream-gateway.livepeer.cloud/text-to-image', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://dream-gateway.livepeer.cloud/text-to-image",
  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>',
    'model_id' => '',
    'loras' => '',
    'height' => 576,
    'width' => 1024,
    'guidance_scale' => 7.5,
    'negative_prompt' => '',
    'safety_check' => true,
    'seed' => 123,
    'num_inference_steps' => 50,
    'num_images_per_prompt' => 1
  ]),
  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 := "https://dream-gateway.livepeer.cloud/text-to-image"

	payload := strings.NewReader("{\n  \"prompt\": \"<string>\",\n  \"model_id\": \"\",\n  \"loras\": \"\",\n  \"height\": 576,\n  \"width\": 1024,\n  \"guidance_scale\": 7.5,\n  \"negative_prompt\": \"\",\n  \"safety_check\": true,\n  \"seed\": 123,\n  \"num_inference_steps\": 50,\n  \"num_images_per_prompt\": 1\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("https://dream-gateway.livepeer.cloud/text-to-image")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"prompt\": \"<string>\",\n  \"model_id\": \"\",\n  \"loras\": \"\",\n  \"height\": 576,\n  \"width\": 1024,\n  \"guidance_scale\": 7.5,\n  \"negative_prompt\": \"\",\n  \"safety_check\": true,\n  \"seed\": 123,\n  \"num_inference_steps\": 50,\n  \"num_images_per_prompt\": 1\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://dream-gateway.livepeer.cloud/text-to-image")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"prompt\": \"<string>\",\n  \"model_id\": \"\",\n  \"loras\": \"\",\n  \"height\": 576,\n  \"width\": 1024,\n  \"guidance_scale\": 7.5,\n  \"negative_prompt\": \"\",\n  \"safety_check\": true,\n  \"seed\": 123,\n  \"num_inference_steps\": 50,\n  \"num_images_per_prompt\": 1\n}"

response = http.request(request)
puts response.read_body

{
  "images": [
    {
      "url": "<string>",
      "seed": 123,
      "nsfw": true
    }
  ]
}

{
  "detail": {
    "msg": "<string>"
  }
}

{
  "detail": {
    "msg": "<string>"
  }
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>"
    }
  ]
}

{
  "detail": {
    "msg": "<string>"
  }
}

Authorizations

Authorization

string

header

required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Body

application/json

prompt

string

required

Text prompt(s) to guide image generation. Separate multiple prompts with '|' if supported by the model.

model_id

string

default:""

Hugging Face model ID used for image generation.

loras

string

default:""

A LoRA (Low-Rank Adaptation) model and its corresponding weight for image generation. Example: { "latent-consistency/lcm-lora-sdxl": 1.0, "nerijs/pixel-art-xl": 1.2}.

height

integer

default:576

The height in pixels of the generated image.

width

integer

default:1024

The width in pixels of the generated image.

guidance_scale

number

default:7.5

Encourages model to generate images closely linked to the text prompt (higher values may reduce image quality).

negative_prompt

string

default:""

Text prompt(s) to guide what to exclude from image generation. Ignored if guidance_scale < 1.

safety_check

boolean

default:true

Perform a safety check to estimate if generated images could be offensive or harmful.

seed

integer

Seed for random number generation.

num_inference_steps

integer

default:50

Number of denoising steps. More steps usually lead to higher quality images but slower inference. Modulated by strength.

num_images_per_prompt

integer

default:1

Number of images to generate per prompt.

Response

Successful Response

Response model for image generation.

images

Media · object[]

required

The generated images.

Show child attributes

Last modified on May 18, 2026

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