Pixel Image 1.0 — Text to Image

curl --request POST \
  --url https://api.muvi.video/v1/jobs/submit \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "<string>",
  "input": {
    "prompt": "<string>",
    "size": "<string>",
    "num_images": "<string>",
    "thinking_mode": true
  }
}
'

import requests

url = "https://api.muvi.video/v1/jobs/submit"

payload = {
    "model": "<string>",
    "input": {
        "prompt": "<string>",
        "size": "<string>",
        "num_images": "<string>",
        "thinking_mode": True
    }
}
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({
    model: '<string>',
    input: {
      prompt: '<string>',
      size: '<string>',
      num_images: '<string>',
      thinking_mode: true
    }
  })
};

fetch('https://api.muvi.video/v1/jobs/submit', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

{
  "jobId": "<string>",
  "status": "<string>",
  "estimatedCompletionTime": "<string>",
  "costMicroCents": 123
}

POST

jobs

submit

Pixel Image 1.0 — Text to Image

curl --request POST \
  --url https://api.muvi.video/v1/jobs/submit \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "<string>",
  "input": {
    "prompt": "<string>",
    "size": "<string>",
    "num_images": "<string>",
    "thinking_mode": true
  }
}
'

import requests

url = "https://api.muvi.video/v1/jobs/submit"

payload = {
    "model": "<string>",
    "input": {
        "prompt": "<string>",
        "size": "<string>",
        "num_images": "<string>",
        "thinking_mode": True
    }
}
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({
    model: '<string>',
    input: {
      prompt: '<string>',
      size: '<string>',
      num_images: '<string>',
      thinking_mode: true
    }
  })
};

fetch('https://api.muvi.video/v1/jobs/submit', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

{
  "jobId": "<string>",
  "status": "<string>",
  "estimatedCompletionTime": "<string>",
  "costMicroCents": 123
}

Generate images from text descriptions with PixelByte+‘s Pixel Image 1.0 model. Supports multi-image batches, dual resolution tiers, and an optional thinking mode for enhanced quality.

Property	Value
Provider	PixelByte+
Model	Pixel Image 1.0
Capability	Text to Image
Base Cost	30,000 micro-cents/image ($0.030)
Processing Time	~30 seconds

Request Body

string

required

Model slug. Use pixelbyte-plus/pixel-image-1.0/text-to-image for text-to-image generation.

object

required

Input parameters for text-to-image generation.

Hide properties

string

required

Text description of the image to generate. Max length: 5,000 characters.

string

Output resolution tier. Default: 2K. Options: 1K, 2K.

string

Number of images to generate per request. Default: 1. Options: 1, 2, 3, 4. Affects pricing.

boolean

Enable enhanced inference for higher-quality results. Default: true.

string

HTTPS URL to receive a webhook notification when the job completes or fails.

Pricing

Base cost: 30,000 micro-cents per image ($0.030)

finalCost = baseCost × num_images

Factor	Option	Multiplier
Number of Images	`1`	1x
	`2`	2x
	`3`	3x
	`4`	4x

Default cost: 1 image = 30,000 × 1 = 30,000 micro-cents ($0.030)4-image cost: 30,000 × 4 = 120,000 micro-cents ($0.120)

Response

string

Unique identifier for the submitted job.

string

Initial job status. Always "pending" on successful submission.

string

ISO 8601 timestamp of the estimated completion time.

number

The cost of the job in micro-cents.

Code Examples

curl -X POST https://api.muvi.video/v1/jobs/submit \
  -H "Authorization: Bearer $PIXELBYTE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "pixelbyte-plus/pixel-image-1.0/text-to-image",
    "input": {
      "prompt": "A futuristic cityscape at sunset with flying cars",
      "size": "2K",
      "num_images": "1",
      "thinking_mode": true
    }
  }'

import requests

response = requests.post(
    "https://api.muvi.video/v1/jobs/submit",
    headers={
        "Authorization": "Bearer YOUR_API_KEY",
        "Content-Type": "application/json"
    },
    json={
        "model": "pixelbyte-plus/pixel-image-1.0/text-to-image",
        "input": {
            "prompt": "A futuristic cityscape at sunset with flying cars",
            "size": "2K",
            "num_images": "1",
            "thinking_mode": True
        }
    }
)

data = response.json()
print(data)

const response = await fetch("https://api.muvi.video/v1/jobs/submit", {
  method: "POST",
  headers: {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    model: "pixelbyte-plus/pixel-image-1.0/text-to-image",
    input: {
      prompt: "A futuristic cityscape at sunset with flying cars",
      size: "2K",
      num_images: "1",
      thinking_mode: true
    }
  })
});

const data = await response.json();
console.log(data);

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PixelByte Plus

Pixel Image 1.0 — Text to Image

Request Body

Pricing

Response

Code Examples

​Request Body

​Pricing

​Response

​Code Examples

Request Body

Pricing

Response

Code Examples