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fal-ai/davinci-magihuman

Expressive facial performance, natural speech-expression coordination, realistic body motion, and accurate audio-video synchronization with DaVinci-MagiHuman model
Inference
Commercial use
Schema
LLMs
PlaygroundAPIExamples

Table of contents

About

Generate

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("fal-ai/davinci-magihuman", {
  input: {
    prompt: "A woman is walking through a metro station and says, 'I love walking through this station, it always feels so alive.'",
    image_url: "https://v3b.fal.media/files/b/0a93a275/W1Nnkr552fPfcTuE2UgKL_Zmt1dxWICl_oX5nbuMVLQ.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"
});

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("fal-ai/davinci-magihuman", {
  input: {
    prompt: "A woman is walking through a metro station and says, 'I love walking through this station, it always feels so alive.'",
    image_url: "https://v3b.fal.media/files/b/0a93a275/W1Nnkr552fPfcTuE2UgKL_Zmt1dxWICl_oX5nbuMVLQ.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("fal-ai/davinci-magihuman", {
  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("fal-ai/davinci-magihuman", {
  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

Text prompt describing the desired video content.

image_url string* required

URL of the reference image for image-to-video generation.

audio_url string

Optional URL of the driving audio for lipsync mode. If omitted, audio is generated from the prompt.

duration integer

Duration of the generated video in seconds. Default value: 5

resolution ResolutionEnum

Output resolution. '256p' uses the official base-model 448x256 path. '1080p' uses the official base + 1080p super-resolution pipeline. '540p' and '720p' reuse that sharper 1080p SR path and downsample to the requested output size. Default value: "256p"

Possible enum values: 256p, 540p, 720p, 1080p

num_inference_steps integer

Number of denoising steps. Defaults to 8 for 256p (distilled) and 32 for 540p/720p/1080p (base + SR).

guidance_scale float

Classifier-free guidance scale. Default value: 5

seed integer

Random seed for reproducibility.

enable_safety_checker boolean

If enabled, runs safety checks on the prompt and input image. Default value: true

{
  "prompt": "A woman is walking through a metro station and says, 'I love walking through this station, it always feels so alive.'",
  "image_url": "https://v3b.fal.media/files/b/0a93a275/W1Nnkr552fPfcTuE2UgKL_Zmt1dxWICl_oX5nbuMVLQ.jpeg",
  "duration": 5,
  "resolution": "256p",
  "guidance_scale": 5,
  "enable_safety_checker": true
}

Output#

video File

The generated video with synchronized audio.

seed integer* required

The seed used for generation.

{}

Other types#

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.