veo-3-apps/json-prompt
JSON-style prompter for Veo 3
Public
42
runs
Run veo-3-apps/json-prompt with an API
Use one of our client libraries to get started quickly. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project.
Input schema
The fields you can use to run this model with an API. If you don't give a value for a field its default value will be used.
| Field | Type | Default value | Description |
|---|---|---|---|
| subject |
string
|
Describe the main subject (e.g., 'young woman with curly hair', 'elderly man in suit', 'golden retriever dog')
|
|
| action |
string
|
Describe what the subject is doing (e.g., 'sipping coffee while reading', 'playing guitar on stage', 'walking through falling snow')
|
|
| dialogue |
string
|
|
Specific dialogue text (if dialogue_presence is not 'no dialogue')
|
| location |
string
|
Describe the location/setting (e.g., 'cozy coffee shop', 'mountain peak at sunrise', 'busy city intersection')
|
|
| camera_motion |
None
|
static
|
Camera movement style
|
| film |
None
|
digital clean
|
Film grain and texture quality
|
| lighting |
None
|
natural daylight
|
Lighting type and mood
|
| tone |
None
|
neutral
|
Overall emotional mood
|
| ambient_audio |
None
|
natural environmental
|
Background environmental sounds
|
| color_palette |
None
|
natural colors
|
Color scheme and saturation
|
| image |
string
|
Optional input image to start generating from (ideal: 1280x720)
|
|
| resolution |
None
|
720p
|
Video resolution
|
| seed |
integer
|
42
|
Random seed for reproducible results
|
{
"type": "object",
"title": "Input",
"required": [
"subject",
"action",
"location"
],
"properties": {
"film": {
"enum": [
"digital clean",
"iPhone camera",
"visible 16mm grain",
"35mm film grain",
"super 8 grain",
"Kodak 500T",
"vintage film stock",
"high ISO noise"
],
"type": "string",
"title": "film",
"description": "Film grain and texture quality",
"default": "digital clean",
"x-order": 5
},
"seed": {
"type": "integer",
"title": "Seed",
"default": 42,
"x-order": 12,
"nullable": true,
"description": "Random seed for reproducible results"
},
"tone": {
"enum": [
"gritty",
"nostalgic",
"whimsical",
"intimate",
"epic",
"mysterious",
"cheerful",
"melancholic",
"energetic",
"peaceful",
"neutral"
],
"type": "string",
"title": "tone",
"description": "Overall emotional mood",
"default": "neutral",
"x-order": 7
},
"image": {
"type": "string",
"title": "Image",
"format": "uri",
"x-order": 10,
"nullable": true,
"description": "Optional input image to start generating from (ideal: 1280x720)"
},
"action": {
"type": "string",
"title": "Action",
"x-order": 1,
"description": "Describe what the subject is doing (e.g., 'sipping coffee while reading', 'playing guitar on stage', 'walking through falling snow')"
},
"subject": {
"type": "string",
"title": "Subject",
"x-order": 0,
"description": "Describe the main subject (e.g., 'young woman with curly hair', 'elderly man in suit', 'golden retriever dog')"
},
"dialogue": {
"type": "string",
"title": "Dialogue",
"default": "",
"x-order": 2,
"description": "Specific dialogue text (if dialogue_presence is not 'no dialogue')"
},
"lighting": {
"enum": [
"natural daylight",
"soft studio lighting",
"dramatic shadows",
"neon lighting",
"candlelight",
"fluorescent harsh",
"golden hour warm",
"blue hour cool",
"high contrast",
"low key dark"
],
"type": "string",
"title": "lighting",
"description": "Lighting type and mood",
"default": "natural daylight",
"x-order": 6
},
"location": {
"type": "string",
"title": "Location",
"x-order": 3,
"description": "Describe the location/setting (e.g., 'cozy coffee shop', 'mountain peak at sunrise', 'busy city intersection')"
},
"resolution": {
"enum": [
"720p",
"1080p"
],
"type": "string",
"title": "resolution",
"description": "Video resolution",
"default": "720p",
"x-order": 11
},
"ambient_audio": {
"enum": [
"silence",
"natural environmental",
"city sounds",
"nature sounds",
"indoor ambience",
"mechanical sounds",
"crowd noise",
"wind/weather",
"echo/reverb",
"classical orchestral",
"jazz",
"rock",
"electronic",
"folk acoustic",
"ambient atmospheric",
"cinematic score",
"upbeat pop",
"dramatic tension"
],
"type": "string",
"title": "ambient_audio",
"description": "Background environmental sounds",
"default": "natural environmental",
"x-order": 8
},
"camera_motion": {
"enum": [
"static",
"fast zoom in",
"wide shot",
"slow pan",
"extreme close-up",
"fast pan",
"tilt up",
"tilt down",
"dolly in",
"dolly out",
"handheld",
"tracking shot",
"crane shot",
"bird's eye view"
],
"type": "string",
"title": "camera_motion",
"description": "Camera movement style",
"default": "static",
"x-order": 4
},
"color_palette": {
"enum": [
"natural colors",
"warm earth tones",
"cool blues/greens",
"high contrast B&W",
"sepia vintage",
"neon bright",
"pastel soft",
"monochromatic",
"desaturated muted",
"vibrant saturated"
],
"type": "string",
"title": "color_palette",
"description": "Color scheme and saturation",
"default": "natural colors",
"x-order": 9
}
}
}
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{
"type": "string",
"title": "Output",
"format": "uri"
}
Example API response
View prediction
'https://replicate.delivery/xezq/ilhTyOtYbk4eMSFadBt8IDLkHz2aGe2zQfi4SFz34eWbOSdUB/tmpl_w468w5.mp4'