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Endpoint: POST https://fal.run/fal-ai/veo3.1/image-to-video Endpoint ID: fal-ai/veo3.1/image-to-video

Try it in the Playground

Run this model interactively with your own prompts.

​
Quick Start

import fal_client

def on_queue_update(update):
    if isinstance(update, fal_client.InProgress):
        for log in update.logs:
           print(log["message"])

result = fal_client.subscribe(
    "fal-ai/veo3.1/image-to-video",
    arguments={
        "prompt": "A monkey and polar bear host a casual podcast about AI inference, bringing their unique perspectives from different environments (tropical vs. arctic) to discuss how AI systems make decisions and process information.
Sample Dialogue:
Monkey (Banana): \"Welcome back to Bananas & Ice! I am Banana\"
Polar Bear (Ice): \"And I'm Ice!\"",
        "image_url": "https://storage.googleapis.com/falserverless/example_inputs/veo31_i2v_input.jpg"
    },
    with_logs=True,
    on_queue_update=on_queue_update,
)
print(result)

import { fal } from "@fal-ai/client";

const result = await fal.subscribe("fal-ai/veo3.1/image-to-video", {
  input: {
      prompt: "A monkey and polar bear host a casual podcast about AI inference, bringing their unique perspectives from different environments (tropical vs. arctic) to discuss how AI systems make decisions and process information.
Sample Dialogue:
Monkey (Banana): \"Welcome back to Bananas & Ice! I am Banana\"
Polar Bear (Ice): \"And I'm Ice!\"",
      image_url: "https://storage.googleapis.com/falserverless/example_inputs/veo31_i2v_input.jpg"
    },
  logs: true,
  onQueueUpdate: (update) => {
    if (update.status === "IN_PROGRESS") {
      update.logs.map((log) => log.message).forEach(console.log);
    }
  },
});
console.log(result.data);
console.log(result.requestId);

curl --request POST \
  --url https://fal.run/fal-ai/veo3.1/image-to-video \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "prompt": "A monkey and polar bear host a casual podcast about AI inference, bringing their unique perspectives from different environments (tropical vs. arctic) to discuss how AI systems make decisions and process information.\nSample Dialogue:\nMonkey (Banana): \"Welcome back to Bananas & Ice! I am Banana\"\nPolar Bear (Ice): \"And I'\''m Ice!\"",
  "image_url": "https://storage.googleapis.com/falserverless/example_inputs/veo31_i2v_input.jpg"
}'

​
Capabilities

  • Text prompt input
  • Aspect ratio control
  • Duration control
  • Negative prompts
  • Reproducible generation (seed)
  • Image input

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API Reference

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Input Schema

​
prompt
string
required
The text prompt describing the video you want to generate
​
aspect_ratio
AspectRatioEnum
default:"auto"
The aspect ratio of the generated video. Only 16:9 and 9:16 are supported. Default value: "auto"Possible values: auto, 16:9, 9:16
​
duration
DurationEnum
default:"8s"
The duration of the generated video. Default value: "8s"Possible values: 4s, 6s, 8s
​
negative_prompt
string
A negative prompt to guide the video generation.
​
resolution
ResolutionEnum
default:"720p"
The resolution of the generated video. Default value: "720p"Possible values: 720p, 1080p, 4k
​
generate_audio
boolean
default:"true"
Whether to generate audio for the video. Default value: true
​
seed
integer
The seed for the random number generator.
​
auto_fix
boolean
default:"false"
Whether to automatically attempt to fix prompts that fail content policy or other validation checks by rewriting them.
​
safety_tolerance
SafetyToleranceEnum
default:"4"
The safety tolerance level for content moderation. 1 is the most strict (blocks most content), 6 is the least strict. Default value: "4"Possible values: 1, 2, 3, 4, 5, 6
​
image_url
string
required
URL of the input image to animate. Should be 720p or higher resolution in 16:9 or 9:16 aspect ratio. If the image is not in 16:9 or 9:16 aspect ratio, it will be cropped to fit.

​
Output Schema

​
video
File
required
The generated video.

​
Input Example

{
  "prompt": "A monkey and polar bear host a casual podcast about AI inference, bringing their unique perspectives from different environments (tropical vs. arctic) to discuss how AI systems make decisions and process information.\nSample Dialogue:\nMonkey (Banana): \"Welcome back to Bananas & Ice! I am Banana\"\nPolar Bear (Ice): \"And I'm Ice!\"",
  "aspect_ratio": "auto",
  "duration": "8s",
  "resolution": "720p",
  "generate_audio": true,
  "auto_fix": false,
  "safety_tolerance": "4",
  "image_url": "https://storage.googleapis.com/falserverless/example_inputs/veo31_i2v_input.jpg"
}

​
Output Example

{
  "video": {
    "url": "https://storage.googleapis.com/falserverless/model_tests/gallery/veo3-1-i2v.mp4"
  }
}

​
Limitations

  • aspect_ratio restricted to: auto, 16:9, 9:16
  • duration restricted to: 4s, 6s, 8s
  • resolution restricted to: 720p, 1080p, 4k
  • safety_tolerance restricted to: 1, 2, 3, 4, 5, 6