blackforestlabs/flux-3/first-last-frame-to-video/draft

FLUX.3 is Black Forest Labs' frontier audio/video model. Generate fast, low-cost draft previews between a start and an end frame, with a reusable draft cache for full-quality enhancement.

Inference

Commercial use

Partner

Schema

LLMs

Playground API Examples

About

First Last Frame To Video Draft

1. Calling the API#

Install the client#

The client provides a convenient way to interact with the model API.

npm install --save @fal-ai/client

Migrate to @fal-ai/client

The @fal-ai/serverless-client package has been deprecated in favor of @fal-ai/client. Please check the migration guide for more information.

Setup your API Key#

Set FAL_KEY as an environment variable in your runtime.

export FAL_KEY="YOUR_API_KEY"

Submit a request#

The client API handles the API submit protocol. It will handle the request status updates and return the result when the request is completed.

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

const result = await fal.subscribe("blackforestlabs/flux-3/first-last-frame-to-video/draft", {
  input: {
    prompt: "A red panda walks along a mossy log in a sunlit forest, one continuous unbroken shot.",
    start_image_url: "https://storage.googleapis.com/falserverless/example_inputs/veo31-flf2v-input-1.jpeg",
    end_image_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);

2. Authentication#

The API uses an API Key for authentication. It is recommended you set the FAL_KEY environment variable in your runtime when possible.

API Key#

In case your app is running in an environment where you cannot set environment variables, you can set the API Key manually as a client configuration.

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

fal.config({
  credentials: "YOUR_FAL_KEY"
});

Protect your API Key

When running code on the client-side (e.g. in a browser, mobile app or GUI applications), make sure to not expose your FAL_KEY. Instead, use a server-side proxy to make requests to the API. For more information, check out our server-side integration guide.

3. Queue#

Long-running requests

For long-running requests, such as training jobs or models with slower inference times, it is recommended to check the Queue status and rely on Webhooks instead of blocking while waiting for the result.

Submit a request#

The client API provides a convenient way to submit requests to the model.

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

const { request_id } = await fal.queue.submit("blackforestlabs/flux-3/first-last-frame-to-video/draft", {
  input: {
    prompt: "A red panda walks along a mossy log in a sunlit forest, one continuous unbroken shot.",
    start_image_url: "https://storage.googleapis.com/falserverless/example_inputs/veo31-flf2v-input-1.jpeg",
    end_image_url: "https://storage.googleapis.com/falserverless/example_inputs/veo31-flf2v-input-2.jpeg"
  },
  webhookUrl: "https://optional.webhook.url/for/results",
});

Fetch request status#

You can fetch the status of a request to check if it is completed or still in progress.

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

const status = await fal.queue.status("blackforestlabs/flux-3/first-last-frame-to-video/draft", {
  requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b",
  logs: true,
});

Get the result#

Once the request is completed, you can fetch the result. See the Output Schema for the expected result format.

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

const result = await fal.queue.result("blackforestlabs/flux-3/first-last-frame-to-video/draft", {
  requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b"
});
console.log(result.data);
console.log(result.requestId);

4. Files#

Some attributes in the API accept file URLs as input. Whenever that's the case you can pass your own URL or a Base64 data URI.

Data URI (base64)#

You can pass a Base64 data URI as a file input. The API will handle the file decoding for you. Keep in mind that for large files, this alternative although convenient can impact the request performance.

Hosted files (URL)#

You can also pass your own URLs as long as they are publicly accessible. Be aware that some hosts might block cross-site requests, rate-limit, or consider the request as a bot.

Uploading files#

We provide a convenient file storage that allows you to upload files and use them in your requests. You can upload files using the client API and use the returned URL in your requests.

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

const file = new File(["Hello, World!"], "hello.txt", { type: "text/plain" });
const url = await fal.storage.upload(file);

Auto uploads

The client will auto-upload the file for you if you pass a binary object (e.g. File, Data).

Read more about file handling in our file upload guide.

5. Schema#

Input#

prompt string* required

The text prompt describing the draft video.

aspect_ratio AspectRatioEnum

Aspect ratio of the generated draft. auto lets the model choose. Default value: "auto"

Possible enum values: auto, 21:9, 2:1, 16:9, 4:3, 1:1, 3:4, 9:16

duration DurationEnum

Draft duration in whole seconds from 5 through 20. An explicit duration pins the two images to the video boundaries. Default value: "5"

Possible enum values: 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20

generate_audio boolean

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

safety_tolerance integer

The safety tolerance level for the generated video. 0 is the strictest and 4 is the most permissive. Default value: 2

start_image_url string* required

URL or data URI of the image used as the first frame of the draft.

end_image_url string* required

URL or data URI of the image used as the last frame of the draft.

{
  "prompt": "A red panda walks along a mossy log in a sunlit forest, one continuous unbroken shot.",
  "aspect_ratio": "auto",
  "duration": 5,
  "generate_audio": true,
  "safety_tolerance": 2,
  "start_image_url": "https://storage.googleapis.com/falserverless/example_inputs/veo31-flf2v-input-1.jpeg",
  "end_image_url": "https://storage.googleapis.com/falserverless/example_inputs/veo31-flf2v-input-2.jpeg"
}

Output#

video File* required

The draft video.

draft_cache File* required

Durable encrypted cache bundle; pass it to draft-enhance for a full-quality render.

{
  "video": {
    "url": "",
    "content_type": "image/png",
    "file_name": "z9RV14K95DvU.png",
    "file_size": 4404019
  },
  "draft_cache": {
    "url": "",
    "content_type": "image/png",
    "file_name": "z9RV14K95DvU.png",
    "file_size": 4404019
  }
}

Other types#

Flux3Keyframe#

image_url string* required

URL of the keyframe image (PNG, JPEG, or WebP).

frame_index integer* required

Frame position of this keyframe in the generated 24 fps video. Must be unique and at most duration * 24.

File#

url string* required

The URL where the file can be downloaded from.

content_type string

The mime type of the file.

file_name string

The name of the file. It will be auto-generated if not provided.

file_size integer

The size of the file in bytes.

blackforestlabs/flux-3/first-last-frame-to-video/draft

Table of contents

1. Calling the API

2. Authentication

3. Queue

4. Files

5. Schema

About

1. Calling the API#

Install the client#

Migrate to @fal-ai/client

Setup your API Key#

Submit a request#

2. Authentication#

API Key#

Protect your API Key

3. Queue#

Long-running requests

Submit a request#

Fetch request status#

Get the result#

4. Files#

Data URI (base64)#

Hosted files (URL)#

Uploading files#

Auto uploads

5. Schema#

Input#

Output#

Other types#

Flux3Keyframe#

File#

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