{
"error": {
"message": "The model does not exist or you do not have access to it.",
"type": "invalid_request_error",
"code": "model_not_found",
"param": null
}
}
{
"error": {
"message": "You have insufficient credits to complete this request.",
"type": "insufficient_quota",
"code": "insufficient_quota",
"param": null
}
}
{
"error": {
"message": "The model does not exist or you do not have access to it.",
"type": "invalid_request_error",
"code": "model_not_found",
"param": null
}
}
{
"error": {
"message": "Rate limit reached. Please retry after a short delay.",
"type": "rate_limit_error",
"code": "rate_limit_exceeded",
"param": null
}
}
{
"error": {
"message": "The server had an error while processing your request. Please retry.",
"type": "api_error",
"code": null,
"param": null
}
}
Videos
Create a video job
Create an asynchronous video generation job from a text prompt, or from an image when input_reference is set (image-to-video). Returns a job with status: "queued"; poll GET /v1/videos/{video_id} until it is completed. Beyond model and prompt, each model accepts its own parameters such as resolution, duration, aspect_ratio, and generate_audio; call GET /v1/models to see the ones a model supports. Video is priced per second of output and billed once, on completion; pricing is shown on deepshi.ai.
POST
/
v1
/
videos
Create a video job
curl --request POST \
--url https://api.deepshi.ai/v1/videos \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "grok-imagine-video",
"prompt": "a paper boat drifting down a rain-soaked street at night",
"resolution": "480p",
"duration": 4
}
'
import requests
url = "https://api.deepshi.ai/v1/videos"
payload = {
"model": "grok-imagine-video",
"prompt": "a paper boat drifting down a rain-soaked street at night",
"resolution": "480p",
"duration": 4
}
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: 'grok-imagine-video',
prompt: 'a paper boat drifting down a rain-soaked street at night',
resolution: '480p',
duration: 4
})
};
fetch('https://api.deepshi.ai/v1/videos', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));
{
"error": {
"message": "The model does not exist or you do not have access to it.",
"type": "invalid_request_error",
"code": "model_not_found",
"param": null
}
}
{
"error": {
"message": "You have insufficient credits to complete this request.",
"type": "insufficient_quota",
"code": "insufficient_quota",
"param": null
}
}
{
"error": {
"message": "The model does not exist or you do not have access to it.",
"type": "invalid_request_error",
"code": "model_not_found",
"param": null
}
}
{
"error": {
"message": "Rate limit reached. Please retry after a short delay.",
"type": "rate_limit_error",
"code": "rate_limit_exceeded",
"param": null
}
}
{
"error": {
"message": "The server had an error while processing your request. Please retry.",
"type": "api_error",
"code": null,
"param": null
}
}
Your Hypercove API key, sent as Authorization: Bearer <key>.
Body
application/json
Video generation request. model and prompt are required. The remaining fields are optional and model-specific; a model ignores any field it does not support. Call GET /v1/models for the parameters each model accepts. Additional model-specific parameters not listed here may also be sent and are forwarded to the model.
Present when status is failed. Explains the failure; the job is not charged.
Show child attributes
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