Veo3.1 Fast API

Fast
Image To Video
First Last Frame To Video
Extend Video

Endpoint: POST https://fal.run/fal-ai/veo3.1/fast Endpoint ID: fal-ai/veo3.1/fast

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/fast",
    arguments={
        "prompt": "Two person street interview in New York City.
Sample Dialogue:
Host: \"Did you hear the news?\"
Person: \"Yes! Veo 3.1 is now available on fal. If you want to see it, go check their website.\""
    },
    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/fast", {
  input: {
      prompt: "Two person street interview in New York City.
Sample Dialogue:
Host: \"Did you hear the news?\"
Person: \"Yes! Veo 3.1 is now available on fal. If you want to see it, go check their website.\""
    },
  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/fast \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "prompt": "Two person street interview in New York City.\nSample Dialogue:\nHost: \"Did you hear the news?\"\nPerson: \"Yes! Veo 3.1 is now available on fal. If you want to see it, go check their website.\""
}'

Input Schema

string

required

The text prompt describing the video you want to generate

AspectRatioEnum

default:"16:9"

Aspect ratio of the generated video Default value: "16:9"Possible values: 16:9, 9:16

DurationEnum

default:"8s"

The duration of the generated video. Default value: "8s"Possible values: 4s, 6s, 8s

string

A negative prompt to guide the video generation.

ResolutionEnum

default:"720p"

The resolution of the generated video. Default value: "720p"Possible values: 720p, 1080p, 4k

boolean

default:"true"

Whether to generate audio for the video. Default value: true

integer

The seed for the random number generator.

boolean

default:"true"

Whether to automatically attempt to fix prompts that fail content policy or other validation checks by rewriting them. Default value: true

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

Output Schema

File

required

The generated video.

Input Example

{
  "prompt": "Two person street interview in New York City.\nSample Dialogue:\nHost: \"Did you hear the news?\"\nPerson: \"Yes! Veo 3.1 is now available on fal. If you want to see it, go check their website.\"",
  "aspect_ratio": "16:9",
  "duration": "8s",
  "resolution": "720p",
  "generate_audio": true,
  "auto_fix": true,
  "safety_tolerance": "4"
}

Output Example

{
  "video": {
    "url": "https://v3b.fal.media/files/b/kangaroo/oUCiZjQwEy6bIQdPUSLDF_output.mp4"
  }
}

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

Input Schema

string

required

The text prompt describing the video you want to generate

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

DurationEnum

default:"8s"

The duration of the generated video. Default value: "8s"Possible values: 4s, 6s, 8s

string

A negative prompt to guide the video generation.

ResolutionEnum

default:"720p"

The resolution of the generated video. Default value: "720p"Possible values: 720p, 1080p, 4k

boolean

default:"true"

Whether to generate audio for the video. Default value: true

integer

The seed for the random number generator.

boolean

default:"false"

Whether to automatically attempt to fix prompts that fail content policy or other validation checks by rewriting them.

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

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

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"
  }
}

Endpoint: POST https://fal.run/fal-ai/veo3.1/fast/first-last-frame-to-video Endpoint ID: fal-ai/veo3.1/fast/first-last-frame-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/fast/first-last-frame-to-video",
    arguments={
        "prompt": "A woman looks into the camera, breathes in, then exclaims energetically, \"have you guys checked out Veo3.1 First-Last-Frame-to-Video on Fal? It's incredible!\"",
        "first_frame_url": "https://storage.googleapis.com/falserverless/example_inputs/veo31-flf2v-input-1.jpeg",
        "last_frame_url": "https://storage.googleapis.com/falserverless/example_inputs/veo31-flf2v-input-2.jpeg"
    },
    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/fast/first-last-frame-to-video", {
  input: {
      prompt: "A woman looks into the camera, breathes in, then exclaims energetically, \"have you guys checked out Veo3.1 First-Last-Frame-to-Video on Fal? It's incredible!\"",
      first_frame_url: "https://storage.googleapis.com/falserverless/example_inputs/veo31-flf2v-input-1.jpeg",
      last_frame_url: "https://storage.googleapis.com/falserverless/example_inputs/veo31-flf2v-input-2.jpeg"
    },
  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/fast/first-last-frame-to-video \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "prompt": "A woman looks into the camera, breathes in, then exclaims energetically, \"have you guys checked out Veo3.1 First-Last-Frame-to-Video on Fal? It'\''s incredible!\"",
  "first_frame_url": "https://storage.googleapis.com/falserverless/example_inputs/veo31-flf2v-input-1.jpeg",
  "last_frame_url": "https://storage.googleapis.com/falserverless/example_inputs/veo31-flf2v-input-2.jpeg"
}'

Input Schema

string

required

The text prompt describing the video you want to generate

AspectRatioEnum

default:"auto"

The aspect ratio of the generated video. Default value: "auto"Possible values: auto, 16:9, 9:16

DurationEnum

default:"8s"

The duration of the generated video. Default value: "8s"Possible values: 4s, 6s, 8s

string

A negative prompt to guide the video generation.

ResolutionEnum

default:"720p"

The resolution of the generated video. Default value: "720p"Possible values: 720p, 1080p, 4k

boolean

default:"true"

Whether to generate audio for the video. Default value: true

integer

The seed for the random number generator.

boolean

default:"false"

Whether to automatically attempt to fix prompts that fail content policy or other validation checks by rewriting them.

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

string

required

URL of the first frame of the video

string

required

URL of the last frame of the video

Output Schema

File

required

The generated video.

Input Example

{
  "prompt": "A woman looks into the camera, breathes in, then exclaims energetically, \"have you guys checked out Veo3.1 First-Last-Frame-to-Video on Fal? It's incredible!\"",
  "aspect_ratio": "auto",
  "duration": "8s",
  "resolution": "720p",
  "generate_audio": true,
  "auto_fix": false,
  "safety_tolerance": "4",
  "first_frame_url": "https://storage.googleapis.com/falserverless/example_inputs/veo31-flf2v-input-1.jpeg",
  "last_frame_url": "https://storage.googleapis.com/falserverless/example_inputs/veo31-flf2v-input-2.jpeg"
}

Output Example

{
  "video": {
    "url": "https://storage.googleapis.com/falserverless/example_outputs/veo31-flf2v-output.mp4"
  }
}

Endpoint: POST https://fal.run/fal-ai/veo3.1/fast/extend-video Endpoint ID: fal-ai/veo3.1/fast/extend-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/fast/extend-video",
    arguments={
        "prompt": "Continue the scene naturally, maintaining the same style and motion.",
        "video_url": "https://v3b.fal.media/files/b/0a8670fe/pY8UGl4_C452wOm9XUBYO_9ae04df8771c4f3f979fa5cabeca6ada.mp4"
    },
    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/fast/extend-video", {
  input: {
      prompt: "Continue the scene naturally, maintaining the same style and motion.",
      video_url: "https://v3b.fal.media/files/b/0a8670fe/pY8UGl4_C452wOm9XUBYO_9ae04df8771c4f3f979fa5cabeca6ada.mp4"
    },
  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/fast/extend-video \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "prompt": "Continue the scene naturally, maintaining the same style and motion.",
  "video_url": "https://v3b.fal.media/files/b/0a8670fe/pY8UGl4_C452wOm9XUBYO_9ae04df8771c4f3f979fa5cabeca6ada.mp4"
}'

Input Schema

string

required

The text prompt describing how the video should be extended

AspectRatioEnum

default:"auto"

The aspect ratio of the generated video. Default value: "auto"Possible values: auto, 16:9, 9:16

string

default:"7s"

The duration of the generated video. Default value: "7s"

string

A negative prompt to guide the video generation.

string

default:"720p"

The resolution of the generated video. Default value: "720p"

boolean

default:"true"

Whether to generate audio for the video. Default value: true

integer

The seed for the random number generator.

boolean

default:"false"

Whether to automatically attempt to fix prompts that fail content policy or other validation checks by rewriting them.

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

string

required

URL of the video to extend. The video should be 720p or 1080p resolution in 16:9 or 9:16 aspect ratio.

Output Schema

File

required

The extended video.

Input Example

{
  "prompt": "Continue the scene naturally, maintaining the same style and motion.",
  "aspect_ratio": "auto",
  "duration": "7s",
  "resolution": "720p",
  "generate_audio": true,
  "auto_fix": false,
  "safety_tolerance": "4",
  "video_url": "https://v3b.fal.media/files/b/0a8670fe/pY8UGl4_C452wOm9XUBYO_9ae04df8771c4f3f979fa5cabeca6ada.mp4"
}

Output Example

{
  "video": {
    "url": "https://v3b.fal.media/files/b/0a86711b/B_Z96VS4X9Dfd4M5ArB4H_c666e63f729f4a8fa1145c6727cef97d.mp4"
  }
}

Veo 3.1 — Video Generation
Veo 3.1 Fast — Video Generation
Veo3.1 Lite Image to Video — Video Generation
Veo3.1 Lite FLF — Video Generation
Veo3.1 Lite Text to Video — Video Generation

Limitations

aspect_ratio restricted to: 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
aspect_ratio restricted to: auto, 16:9, 9:16

Video Generation

Image Generation

Audio

Vision

3D

Veo3.1 Fast API

Try it in the Playground

Quick Start

Input Schema

Output Schema

Input Example

Output Example

Try it in the Playground

Quick Start

Input Schema

Output Schema

Input Example

Output Example

Try it in the Playground

Quick Start

Input Schema

Output Schema

Input Example

Output Example

Try it in the Playground

Quick Start

Input Schema

Output Schema

Input Example

Output Example

Limitations

Try it in the Playground

​Quick Start

​Input Schema

​Output Schema

​Input Example

​Output Example

Try it in the Playground

​Quick Start

​Input Schema

​Output Schema

​Input Example

​Output Example

Try it in the Playground

​Quick Start

​Input Schema

​Output Schema

​Input Example

​Output Example

Try it in the Playground

​Quick Start

​Input Schema

​Output Schema

​Input Example

​Output Example

​Related

​Limitations

Quick Start

Input Schema

Output Schema

Input Example

Output Example

Quick Start

Input Schema

Output Schema

Input Example

Output Example

Quick Start

Input Schema

Output Schema

Input Example

Output Example

Quick Start

Input Schema

Output Schema

Input Example

Output Example

Related

Limitations