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
}Pixel Image 1.0
Pixel Image 1.0 — Text to Image
Generate images from text prompts using PixelByte+‘s Pixel Image 1.0 model
POST
/
v1
/
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
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);