Nano Banana (TEST) — 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>",
"aspect_ratio": "<string>",
"numberOfGenerations": 123
}
}
'import requests
url = "https://api.muvi.video/v1/jobs/submit"
payload = {
"model": "<string>",
"input": {
"prompt": "<string>",
"aspect_ratio": "<string>",
"numberOfGenerations": 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({
model: '<string>',
input: {prompt: '<string>', aspect_ratio: '<string>', numberOfGenerations: 123}
})
};
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
}Nano Banana Dev
Nano Banana (TEST) — Text to Image
Generate images from text prompts using Google’s Nano Banana (TEST) model via PixelByte API
POST
/
v1
/
jobs
/
submit
Nano Banana (TEST) — 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>",
"aspect_ratio": "<string>",
"numberOfGenerations": 123
}
}
'import requests
url = "https://api.muvi.video/v1/jobs/submit"
payload = {
"model": "<string>",
"input": {
"prompt": "<string>",
"aspect_ratio": "<string>",
"numberOfGenerations": 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({
model: '<string>',
input: {prompt: '<string>', aspect_ratio: '<string>', numberOfGenerations: 123}
})
};
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 Google’s Nano Banana (TEST) model. A lightweight development variant that supports a wide range of aspect ratios and multiple generations per request.
| Property | Value |
|---|---|
| Provider | |
| Model | Nano Banana (TEST) |
| Capability | Text to Image |
| Base Cost | 40,000 micro-cents/request ($0.04/request) |
| Processing Time | ~30 seconds |
Request Body
string
required
Model slug. Use
google/nano-banana-dev/text-to-image for text-to-image generation.object
required
string
HTTPS URL to receive a webhook notification when the job completes or fails.
Pricing
Base cost: 40,000 micro-cents per request ($0.04/request)finalCost = baseCost
Default cost: 1 request = 40,000 micro-cents ($0.04)
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": "google/nano-banana-dev/text-to-image",
"input": {
"prompt": "A serene mountain lake at sunrise with mist over the water",
"aspect_ratio": "16:9",
"numberOfGenerations": 1
}
}'
import requests
response = requests.post(
"https://api.muvi.video/v1/jobs/submit",
headers={
"Authorization": "Bearer YOUR_API_KEY",
"Content-Type": "application/json"
},
json={
"model": "google/nano-banana-dev/text-to-image",
"input": {
"prompt": "A serene mountain lake at sunrise with mist over the water",
"aspect_ratio": "16:9",
"numberOfGenerations": 1
}
}
)
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: "google/nano-banana-dev/text-to-image",
input: {
prompt: "A serene mountain lake at sunrise with mist over the water",
aspect_ratio: "16:9",
numberOfGenerations: 1
}
})
});
const data = await response.json();
console.log(data);