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Marey Realism V1.5 Text to Video

moonvalley/marey/t2v
Generate a video from a text prompt with Marey, a generative video model trained exclusively on fully licensed data.
Inference
Commercial use
PlaygroundAPI

About

Text To Video Endpoint

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

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("moonvalley/marey/t2v", {
  input: {
    prompt: "Detailed Description: A small, white paper boat, with one corner engulfed in bright orange flames, drifts precariously across a dark puddle on wet asphalt. As raindrops fall, they create ever-expanding ripples on the water's surface, gently rocking the fragile vessel and causing the fiery reflection below to dance and shimmer. The flickering flame slowly consumes the paper, charring the edges black as the boat becomes waterlogged, beginning to sink in a poignant slow-motion battle between fire and water. Background: The background is softly blurred, suggesting an overcast day with out-of-focus foliage, enhancing the scene's intimate and melancholic mood. Middleground: Raindrops continuously strike the puddle's surface, creating concentric ripples that gently push the boat along its short, determined voyage. Foreground: The burning paper boat floats in sharp focus, its bright, flickering flame casting a warm, dramatic glow that reflects and distorts on the dark, wet surface of the asphalt."
  },
  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"
});

3. Queue#

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("moonvalley/marey/t2v", {
  input: {
    prompt: "Detailed Description: A small, white paper boat, with one corner engulfed in bright orange flames, drifts precariously across a dark puddle on wet asphalt. As raindrops fall, they create ever-expanding ripples on the water's surface, gently rocking the fragile vessel and causing the fiery reflection below to dance and shimmer. The flickering flame slowly consumes the paper, charring the edges black as the boat becomes waterlogged, beginning to sink in a poignant slow-motion battle between fire and water. Background: The background is softly blurred, suggesting an overcast day with out-of-focus foliage, enhancing the scene's intimate and melancholic mood. Middleground: Raindrops continuously strike the puddle's surface, creating concentric ripples that gently push the boat along its short, determined voyage. Foreground: The burning paper boat floats in sharp focus, its bright, flickering flame casting a warm, dramatic glow that reflects and distorts on the dark, wet surface of the asphalt."
  },
  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("moonvalley/marey/t2v", {
  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("moonvalley/marey/t2v", {
  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);

Read more about file handling in our file upload guide.

5. Schema#

Input#

prompt string* required

The prompt to generate a video from

dimensions DimensionsEnum

The dimensions of the generated video in width x height format. Default value: "1920x1080"

Possible enum values: 1920x1080, 1152x1152, 1536x1152, 1152x1536

duration DurationEnum

The duration of the generated video. Default value: "5s"

Possible enum values: 5s, 10s

negative_prompt string

Negative prompt used to guide the model away from undesirable features. Default value: "<synthetic> <scene cut> low-poly, flat shader, bad rigging, stiff animation, uncanny eyes, low-quality textures, looping glitch, cheap effect, overbloom, bloom spam, default lighting, game asset, stiff face, ugly specular, AI artifacts"

seed integer

Seed for random number generation. Use -1 for random seed each run. Default value: -1

guidance_scale float

Controls how strongly the generation is guided by the prompt (0-20). Higher values follow the prompt more closely.

{
  "prompt": "Detailed Description: A small, white paper boat, with one corner engulfed in bright orange flames, drifts precariously across a dark puddle on wet asphalt. As raindrops fall, they create ever-expanding ripples on the water's surface, gently rocking the fragile vessel and causing the fiery reflection below to dance and shimmer. The flickering flame slowly consumes the paper, charring the edges black as the boat becomes waterlogged, beginning to sink in a poignant slow-motion battle between fire and water. Background: The background is softly blurred, suggesting an overcast day with out-of-focus foliage, enhancing the scene's intimate and melancholic mood. Middleground: Raindrops continuously strike the puddle's surface, creating concentric ripples that gently push the boat along its short, determined voyage. Foreground: The burning paper boat floats in sharp focus, its bright, flickering flame casting a warm, dramatic glow that reflects and distorts on the dark, wet surface of the asphalt.",
  "dimensions": "1920x1080",
  "duration": "5s",
  "negative_prompt": "<synthetic> <scene cut> low-poly, flat shader, bad rigging, stiff animation, uncanny eyes, low-quality textures, looping glitch, cheap effect, overbloom, bloom spam, default lighting, game asset, stiff face, ugly specular, AI artifacts",
  "seed": -1
}

Output#

video File* required

The generated video.

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

Other types#

MareyInputPoseTransfer#

prompt string* required

The prompt to generate a video from

video_url string* required

The URL of the video to use as the control video.

first_frame_image_url string

Optional first frame image URL to use as the first frame of the generated video

reference_image_url string

Optional reference image URL to use for pose control or as a starting frame

negative_prompt string

Negative prompt used to guide the model away from undesirable features. Default value: "<synthetic> <scene cut> low-poly, flat shader, bad rigging, stiff animation, uncanny eyes, low-quality textures, looping glitch, cheap effect, overbloom, bloom spam, default lighting, game asset, stiff face, ugly specular, AI artifacts"

seed integer

Seed for random number generation. Use -1 for random seed each run. Default value: -1

MareyInputMotionTransfer#

prompt string* required

The prompt to generate a video from

video_url string* required

The URL of the video to use as the control video.

first_frame_image_url string

Optional first frame image URL to use as the first frame of the generated video Default value: "https://video-editor-files-prod.s3.us-east-2.amazonaws.com/users/1e4d46df-0702-4491-95ce-763592f33f34/uploaded-images/9b9dce1c-abd0-46c0-bac9-9454f8893b06/original"

reference_image_url string

Optional reference image URL to use for pose control or as a starting frame

negative_prompt string

Negative prompt used to guide the model away from undesirable features. Default value: "<synthetic> <scene cut> low-poly, flat shader, bad rigging, stiff animation, uncanny eyes, low-quality textures, looping glitch, cheap effect, overbloom, bloom spam, default lighting, game asset, stiff face, ugly specular, AI artifacts"

seed integer

Seed for random number generation. Use -1 for random seed each run. Default value: -1

MareyInputShotExtension#

prompt string* required

The prompt to generate a video from

video_url string* required

The URL of the video to use as the control video.

first_frame_image_url string

Optional first frame image URL to use as the first frame of the generated video

reference_image_url string
negative_prompt string

Negative prompt used to guide the model away from undesirable features. Default value: "<synthetic> <scene cut> low-poly, flat shader, bad rigging, stiff animation, uncanny eyes, low-quality textures, looping glitch, cheap effect, overbloom, bloom spam, default lighting, game asset, stiff face, ugly specular, AI artifacts"

seed integer

Seed for random number generation. Use -1 for random seed each run. Default value: -1

duration DurationEnum

The duration of the generated video. Default value: "5s"

Possible enum values: 5s, 10s

MareyInputI2V#

prompt string* required

The prompt to generate a video from

dimensions DimensionsEnum

The dimensions of the generated video in width x height format. Default value: "1920x1080"

Possible enum values: 1920x1080, 1080x1920, 1152x1152, 1536x1152, 1152x1536

duration DurationEnum

The duration of the generated video. Default value: "5s"

Possible enum values: 5s, 10s

negative_prompt string

Negative prompt used to guide the model away from undesirable features. Default value: "<synthetic> <scene cut> low-poly, flat shader, bad rigging, stiff animation, uncanny eyes, low-quality textures, looping glitch, cheap effect, overbloom, bloom spam, default lighting, game asset, stiff face, ugly specular, AI artifacts"

seed integer

Seed for random number generation. Use -1 for random seed each run. Default value: -1

guidance_scale float

Controls how strongly the generation is guided by the prompt (0-20). Higher values follow the prompt more closely.

image_url string* required

The URL of the image to use as the first frame of the video.

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.

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