Provide reference images, a preset voice, or both to guide the generated video. Images incorporate specific people, objects, clothing, or other visual elements without locking the first frame (unlike image-to-video). This is useful for virtual try-on, product placement, character-consistent storytelling, and voice identity. On grok-imagine-video-1.5, you can also pick the voice your subject speaks in (see Reference audio), and pin the exact first or last frame (see First & Last frame).

Each reference image can be provided as a public HTTPS URL, a base64-encoded data URI, or a file_id from the Files API — and you can mix kinds within a single request. See Imagine → Files API Integration for file_id details and examples.

In the Vercel AI SDK, set providerOptions.xai.mode to "reference-to-video" and pass the images with providerOptions.xai.referenceImageUrls.

A maximum of 7 reference images can be provided per request.
Up to 3 optional preset voices on grok-imagine-video-1.5, selected by voice_id. Voice references with your own audio files are available to trusted partners on request. See configuration for limits.
At least one reference image, voice, or last_frame is required. On grok-imagine-video-1.5, max duration is 15 seconds.
The maximum resolution for reference-to-video is 720p.
On grok-imagine-video-1.5, image combined with references or last_frame pins the exact first frame of a reference-to-video clip; last_frame alone is also valid. Classic grok-imagine-video rejects those pins. Reference-to-video cannot be combined with video editing.

import os
import xai_sdk

client = xai_sdk.Client(api_key=os.getenv("XAI_API_KEY"))

response = client.video.generate(
    prompt="slow zoom in on the white fashion runway stage. then, the model from <IMAGE_1> walks in from the back of the shot from the white opening, and gracefully walk out onto the front of the white stage platform. they wear the shirt from <IMAGE_2> and black flared jeans. they look dramatically at the camera. high quality slow motion shot. fun, playful. skin pores. highly detailed faces. perfect shot. they reach the end of the runway and look at the camera as the camera slowly zooms. subtle smile.",
    model="grok-imagine-video-1.5",
    reference_image_urls=[
        "<IMAGE_URL_1>",
        "<IMAGE_URL_2>",
        "<IMAGE_URL_3>",
    ],
    duration=10,
    aspect_ratio="16:9",
    resolution="720p",
)

print(response.url)

import os
import time
import requests

headers = {
    "Content-Type": "application/json",
    "Authorization": f"Bearer {os.environ['XAI_API_KEY']}",
}

response = requests.post(
    "https://api.x.ai/v1/videos/generations",
    headers=headers,
    json={
        "model": "grok-imagine-video-1.5",
        "prompt": "slow zoom in on the white fashion runway stage. then, the model from <IMAGE_1> walks in from the back of the shot from the white opening, and gracefully walk out onto the front of the white stage platform. they wear the shirt from <IMAGE_2> and black flared jeans. they look dramatically at the camera. high quality slow motion shot. fun, playful. skin pores. highly detailed faces. perfect shot. they reach the end of the runway and look at the camera as the camera slowly zooms. subtle smile.",
        "reference_images": [
            {"url": "<IMAGE_URL_1>"},
            {"url": "<IMAGE_URL_2>"},
            {"url": "<IMAGE_URL_3>"},
        ],
        "duration": 10,
        "aspect_ratio": "16:9",
        "resolution": "720p",
    },
)

request_id = response.json()["request_id"]

while True:
    result = requests.get(
        f"https://api.x.ai/v1/videos/%3C/span%3E%3Cspan%20style="color:#005CC5;--shiki-dark:#79B8FF">{request_id}",
        headers={"Authorization": headers["Authorization"]},
    )
    data = result.json()
    if data["status"] == "done":
        print(data["video"]["url"])
        break
    elif data["status"] == "expired":
        print("Request expired")
        break
    time.sleep(5)

import { xai } from "@ai-sdk/xai";
import { experimental_generateVideo as generateVideo } from "ai";

const result = await generateVideo({
    model: xai.video("grok-imagine-video-1.5"),
    prompt: "slow zoom in on the white fashion runway stage. then, the model from <IMAGE_1> walks in from the back of the shot from the white opening, and gracefully walk out onto the front of the white stage platform. they wear the shirt from <IMAGE_2> and black flared jeans. they look dramatically at the camera. high quality slow motion shot. fun, playful. skin pores. highly detailed faces. perfect shot. they reach the end of the runway and look at the camera as the camera slowly zooms. subtle smile.",
    duration: 10,
    aspectRatio: "16:9",
    providerOptions: {
        xai: {
            mode: "reference-to-video",
            referenceImageUrls: [
                "<IMAGE_URL_1>",
                "<IMAGE_URL_2>",
                "<IMAGE_URL_3>",
            ],
            resolution: "720p",
            pollTimeoutMs: 600000,
        },
    },
});

const videoUrl = result.providerMetadata?.xai?.videoUrl;
console.log(videoUrl);

# Start the reference-to-video request
REQUEST_ID=$(curl -s -X POST https://api.x.ai/v1/videos/generations \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $XAI_API_KEY" \
  -d '{
    "model": "grok-imagine-video-1.5",
    "prompt": "slow zoom in on the white fashion runway stage. then, the model from <IMAGE_1> walks in from the back of the shot from the white opening, and gracefully walk out onto the front of the white stage platform. they wear the shirt from <IMAGE_2> and black flared jeans. they look dramatically at the camera. high quality slow motion shot. fun, playful. skin pores. highly detailed faces. perfect shot. they reach the end of the runway and look at the camera as the camera slowly zooms. subtle smile.",
    "reference_images": [
      {"url": "<IMAGE_URL_1>"},
      {"url": "<IMAGE_URL_2>"},
      {"url": "<IMAGE_URL_3>"}
    ],
    "duration": 10,
    "aspect_ratio": "16:9",
    "resolution": "720p"
  }' | jq -r '.request_id')

# Poll until the video is ready
while true; do
  RESULT=$(curl -s https://api.x.ai/v1/videos/$REQUEST_ID \
    -H "Authorization: Bearer $XAI_API_KEY")
  STATUS=$(echo "$RESULT" | jq -r '.status')
  if [ "$STATUS" = "done" ]; then
    echo "$RESULT" | jq -r '.video.url'
    break
  elif [ "$STATUS" = "failed" ] || [ "$STATUS" = "expired" ]; then
    echo "Request $STATUS"; echo "$RESULT" | jq .
    break
  fi
  sleep 5
done

Reference audio

Preset voices are generally available. Voice references with your own audio files are available to trusted partners, on request. Contact us.

On grok-imagine-video-1.5, give your subject a voice by passing up to 3 preset voices with reference_audios. Each entry names a voice by voice_id, drawn from the same built-in roster as Text to Speech, so {"voice_id": "eve"} speaks in Eve's voice. Identifiers are case-insensitive; an unknown one returns 400 with the list of available voices. You can hear every voice in the flagship voices announcement.

reference_audios accepts preset voices; voice references with your own audio files are available to trusted partners on request. Use a voice alongside reference images or on its own, and tag voices in the prompt as <AUDIO_0>, <AUDIO_1>, and <AUDIO_2> (with <IMAGE_0>… when you also pass images).

import os
import xai_sdk

client = xai_sdk.Client(api_key=os.getenv("XAI_API_KEY"))

response = client.video.generate(
    prompt="The person from <IMAGE_1> presents the product from <IMAGE_2> on the set from <IMAGE_3>, speaking with the voice from <AUDIO_0>. A second speaker with the voice from <AUDIO_1> replies.",
    model="grok-imagine-video-1.5",
    reference_image_urls=[
        "<IMAGE_URL_1>",
        "<IMAGE_URL_2>",
        "<IMAGE_URL_3>",
    ],
    reference_audios=[
        {"voice_id": "eve"},
        {"voice_id": "leo"},
    ],
    duration=8,
    aspect_ratio="9:16",
    resolution="720p",
)

print(response.url)

import os
import time
import requests

headers = {
    "Content-Type": "application/json",
    "Authorization": f"Bearer {os.environ['XAI_API_KEY']}",
}

response = requests.post(
    "https://api.x.ai/v1/videos/generations",
    headers=headers,
    json={
        "model": "grok-imagine-video-1.5",
        "prompt": "The person from <IMAGE_1> presents the product from <IMAGE_2> on the set from <IMAGE_3>, speaking with the voice from <AUDIO_0>. A second speaker with the voice from <AUDIO_1> replies.",
        "reference_images": [
            {"url": "<IMAGE_URL_1>"},
            {"url": "<IMAGE_URL_2>"},
            {"url": "<IMAGE_URL_3>"},
        ],
        "reference_audios": [
            {"voice_id": "eve"},
            {"voice_id": "leo"},
        ],
        "duration": 8,
        "aspect_ratio": "9:16",
        "resolution": "720p",
    },
)

request_id = response.json()["request_id"]

while True:
    result = requests.get(
        f"https://api.x.ai/v1/videos/%3C/span%3E%3Cspan%20style="color:#005CC5;--shiki-dark:#79B8FF">{request_id}",
        headers={"Authorization": headers["Authorization"]},
    )
    data = result.json()
    if data["status"] == "done":
        print(data["video"]["url"])
        break
    elif data["status"] == "expired":
        print("Request expired")
        break
    time.sleep(5)

REQUEST_ID=$(curl -s -X POST https://api.x.ai/v1/videos/generations \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $XAI_API_KEY" \
  -d '{
    "model": "grok-imagine-video-1.5",
    "prompt": "The person from <IMAGE_1> presents the product from <IMAGE_2> on the set from <IMAGE_3>, speaking with the voice from <AUDIO_0>. A second speaker with the voice from <AUDIO_1> replies.",
    "reference_images": [
      {"url": "<IMAGE_URL_1>"},
      {"url": "<IMAGE_URL_2>"},
      {"url": "<IMAGE_URL_3>"}
    ],
    "reference_audios": [
      {"voice_id": "eve"},
      {"voice_id": "leo"}
    ],
    "duration": 8,
    "aspect_ratio": "9:16",
    "resolution": "720p"
  }' | jq -r '.request_id')

while true; do
  RESULT=$(curl -s https://api.x.ai/v1/videos/$REQUEST_ID \
    -H "Authorization: Bearer $XAI_API_KEY")
  STATUS=$(echo "$RESULT" | jq -r '.status')
  if [ "$STATUS" = "done" ]; then
    echo "$RESULT" | jq -r '.video.url'
    break
  elif [ "$STATUS" = "failed" ] || [ "$STATUS" = "expired" ]; then
    echo "Request $STATUS"; echo "$RESULT" | jq .
    break
  fi
  sleep 5
done

First & Last frame

On grok-imagine-video-1.5, last_frame pins the exact last frame of the clip. The video ends arriving on that image rather than re-rendering it as a reference. image combined with reference_images, reference_audios, or last_frame is the matching first-frame pin.

Request shape	Result
`image` + `last_frame`	Pinned first and last frame. The model interpolates between the two.
`last_frame` only	Pinned last frame. The model generates the opening and lands on the pinned image.
`last_frame` + `reference_images` / `reference_audios`	Pinned last frame with reference guidance. Add `image` to pin the first frame as well.

prompt is optional in every first & last frame request. Include one to steer motion and camera work between the frames; omit it to let the frames alone drive the clip.

last_frame uses the same URL, data-URI, and file_id shapes as image-to-video. The Python SDK and Vercel AI SDK do not yet expose a dedicated last_frame parameter; send it on the REST body.

Classic grok-imagine-video rejects last_frame and rejects combining image with reference inputs.

import os
import time
import requests

headers = {
    "Content-Type": "application/json",
    "Authorization": f"Bearer {os.environ['XAI_API_KEY']}",
}

response = requests.post(
    "https://api.x.ai/v1/videos/generations",
    headers=headers,
    json={
        "model": "grok-imagine-video-1.5",
        "prompt": "The camera dollies from the sunlit doorway to the window, settling on the closing frame.",
        "image": {"url": "<FIRST_FRAME_URL>"},
        "last_frame": {"url": "<LAST_FRAME_URL>"},
        "duration": 8,
        "aspect_ratio": "16:9",
        "resolution": "720p",
    },
)

request_id = response.json()["request_id"]

while True:
    result = requests.get(
        f"https://api.x.ai/v1/videos/%3C/span%3E%3Cspan%20style="color:#005CC5;--shiki-dark:#79B8FF">{request_id}",
        headers={"Authorization": headers["Authorization"]},
    )
    data = result.json()
    if data["status"] == "done":
        print(data["video"]["url"])
        break
    elif data["status"] == "expired":
        print("Request expired")
        break
    time.sleep(5)

REQUEST_ID=$(curl -s -X POST https://api.x.ai/v1/videos/generations \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $XAI_API_KEY" \
  -d '{
    "model": "grok-imagine-video-1.5",
    "prompt": "The camera dollies from the sunlit doorway to the window, settling on the closing frame.",
    "image": {"url": "<FIRST_FRAME_URL>"},
    "last_frame": {"url": "<LAST_FRAME_URL>"},
    "duration": 8,
    "aspect_ratio": "16:9",
    "resolution": "720p"
  }' | jq -r '.request_id')

while true; do
  RESULT=$(curl -s https://api.x.ai/v1/videos/$REQUEST_ID \
    -H "Authorization: Bearer $XAI_API_KEY")
  STATUS=$(echo "$RESULT" | jq -r '.status')
  if [ "$STATUS" = "done" ]; then
    echo "$RESULT" | jq -r '.video.url'
    break
  elif [ "$STATUS" = "failed" ] || [ "$STATUS" = "expired" ]; then
    echo "Request $STATUS"; echo "$RESULT" | jq .
    break
  fi
  sleep 5
done

Video Generation — Generate videos from text prompts
Image-to-Video — Animate a still image
Video Editing — Edit existing videos
API Reference — Full endpoint documentation
Imagine API Landing Page — Showcase of the Imagine API in action

Last updated: September 8, 2026

Model Capabilities

Reference-to-Video

Reference audio

First & Last frame

Model Capabilities

Reference-to-Video

Reference audio

First & Last frame

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