Nano Banana 2 — 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>",
"resolution": "<string>"
}
}
'import requests
url = "https://api.muvi.video/v1/jobs/submit"
payload = {
"model": "<string>",
"input": {
"prompt": "<string>",
"aspect_ratio": "<string>",
"resolution": "<string>"
}
}
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>', resolution: '<string>'}
})
};
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 2
Nano Banana 2 — Text to Image
Generate images from text prompts using Google’s Nano Banana 2 model
POST
/
v1
/
jobs
/
submit
Nano Banana 2 — 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>",
"resolution": "<string>"
}
}
'import requests
url = "https://api.muvi.video/v1/jobs/submit"
payload = {
"model": "<string>",
"input": {
"prompt": "<string>",
"aspect_ratio": "<string>",
"resolution": "<string>"
}
}
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>', resolution: '<string>'}
})
};
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 2 model. Supports multiple aspect ratios and resolution tiers.
| Property | Value |
|---|---|
| Provider | |
| Model | Nano Banana 2 |
| Capability | Text to Image |
| Base Cost | 134,000 micro-cents/request ($0.134) |
| Processing Time | ~30 seconds |
Request Body
string
required
Model slug. Use
google/nano-banana-2/text-to-image for text-to-image generation.object
required
Input parameters for text-to-image generation.
string
HTTPS URL to receive a webhook notification when the job completes or fails.
Pricing
Base cost: 134,000 micro-cents per request ($0.134)finalCost = baseCost × resolution
| Factor | Option | Multiplier |
|---|---|---|
| Resolution | 1k | 1x |
2k | 1x | |
4k | 1.8x |
Default cost: 1k resolution = 134,000 × 1 = 134,000 micro-cents ($0.134)4k cost: 134,000 × 1.8 = 241,200 micro-cents ($0.2412)
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-2/text-to-image",
"input": {
"prompt": "A futuristic cityscape at sunset with flying cars",
"aspect_ratio": "16:9",
"resolution": "2k"
}
}'
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-2/text-to-image",
"input": {
"prompt": "A futuristic cityscape at sunset with flying cars",
"aspect_ratio": "16:9",
"resolution": "2k"
}
}
)
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-2/text-to-image",
input: {
prompt: "A futuristic cityscape at sunset with flying cars",
aspect_ratio: "16:9",
resolution: "2k"
}
})
});
const data = await response.json();
console.log(data);