Gen 4 Image — 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>",
"style": "<string>",
"diversity": 123
}
}
'import requests
url = "https://api.muvi.video/v1/jobs/submit"
payload = {
"model": "<string>",
"input": {
"prompt": "<string>",
"aspect_ratio": "<string>",
"resolution": "<string>",
"style": "<string>",
"diversity": 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>',
resolution: '<string>',
style: '<string>',
diversity: 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
}Gen 4 Image
Gen 4 Image — Text to Image
Generate images from text prompts using Runway’s Gen 4 Image model
POST
/
v1
/
jobs
/
submit
Gen 4 Image — 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>",
"style": "<string>",
"diversity": 123
}
}
'import requests
url = "https://api.muvi.video/v1/jobs/submit"
payload = {
"model": "<string>",
"input": {
"prompt": "<string>",
"aspect_ratio": "<string>",
"resolution": "<string>",
"style": "<string>",
"diversity": 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>',
resolution: '<string>',
style: '<string>',
diversity: 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 Runway’s Gen 4 Image model. Supports multiple aspect ratios, resolution tiers, style presets, and diversity control.
| Property | Value |
|---|---|
| Provider | Runway |
| Model | Gen 4 Image |
| Capability | Text to Image |
| Base Cost | 50,000 micro-cents/request ($0.05) |
| Processing Time | ~30 seconds |
Request Body
string
required
Model slug. Use
runway/gen-4-image/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.
string
Output aspect ratio. Default:
16:9. Options: 16:9, 9:16, 1:1, 2:3, 3:2, 4:3, 3:4, 4:5, 5:4, 21:9.string
Output resolution. Default:
720p. Options: 720p, 1080p.string
Style preset for the generated image. Options:
vivid, vivid-warm, vivid-cool, high-contrast, high-contrast-warm, high-contrast-cool, bw, bw-contrast, muted-pastel, dreamscape, nordic-minimal, light-anime, dark-anime, painted-anime, 3d-cartoon, sketch, low-angle, in-motion, terracotta.integer
Controls output diversity. Range: 1–5. Higher values produce more varied results.
string
HTTPS URL to receive a webhook notification when the job completes or fails.
Pricing
Base cost: 50,000 micro-cents per request ($0.05)finalCost = baseCost × resolution
| Factor | Option | Multiplier |
|---|---|---|
| Resolution | 720p | 1x |
1080p | 1.6x |
Default cost: 720p resolution = 50,000 × 1 = 50,000 micro-cents ($0.05)1080p cost: 50,000 × 1.6 = 80,000 micro-cents ($0.08)
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": "runway/gen-4-image/text-to-image",
"input": {
"prompt": "A futuristic cityscape at sunset with flying cars",
"aspect_ratio": "16:9",
"resolution": "1080p",
"style": "vivid"
}
}'
import requests
response = requests.post(
"https://api.muvi.video/v1/jobs/submit",
headers={
"Authorization": "Bearer YOUR_API_KEY",
"Content-Type": "application/json"
},
json={
"model": "runway/gen-4-image/text-to-image",
"input": {
"prompt": "A futuristic cityscape at sunset with flying cars",
"aspect_ratio": "16:9",
"resolution": "1080p",
"style": "vivid"
}
}
)
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: "runway/gen-4-image/text-to-image",
input: {
prompt: "A futuristic cityscape at sunset with flying cars",
aspect_ratio: "16:9",
resolution: "1080p",
style: "vivid"
}
})
});
const data = await response.json();
console.log(data);