This model is no longer supported.
This model is no longer supported.
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The client provides a convenient way to interact with the model API.
npm install --save @fal-ai/clientThe @fal-ai/serverless-client package has been deprecated in favor of @fal-ai/client. Install the new package and update your imports — see client setup.
Set FAL_KEY as an environment variable in your runtime.
export FAL_KEY="YOUR_API_KEY"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/multishot-master", {
input: {
prompt: "Subject 1: A man wearing a grey t-shirt, dark vest. Subject 2: A woman with long brown hair, wearing a soft pink floral sundress. The whole scene takes place indoors in a spacious, well-decorated room. The visual style is modern television production, featuring clear imagery and naturalistic representation.",
shots: [{
prompt: "Subject 1 is smiling and gesturing with his right hand while facing the camera. Subject 2 is seen from behind, facing Subject 1. The scene is indoors in a well-decorated room, with a dark door and ornate glass visible in the background. The camera is static, providing a medium close-up shot of Subject 1.",
num_frames: 65
}, {
prompt: "Subject 2 is standing, looking at Subject 1 with a smile. Subject 1 is seen from the back, facing Subject 2. The scene is an indoor, spacious, and well-decorated room with a patterned rug and elegant furniture. The camera is static, providing a medium close-up shot of Subject 2.",
num_frames: 65
}, {
prompt: "Subject 1 is speaking animatedly, gesturing with his right hand, facing the camera. Subject 2 stands with her back to the camera, listening to Subject 1. The scene is indoors in a well-decorated room, with a dark door and ornate glass visible in the background. The camera maintains a close medium shot, capturing the subjects.",
num_frames: 65
}]
},
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);The API uses an API Key for authentication. It is recommended you set the FAL_KEY environment variable in your runtime when possible.
import { fal } from "@fal-ai/client";
fal.config({
credentials: "YOUR_FAL_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.
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/multishot-master", {
input: {
prompt: "Subject 1: A man wearing a grey t-shirt, dark vest. Subject 2: A woman with long brown hair, wearing a soft pink floral sundress. The whole scene takes place indoors in a spacious, well-decorated room. The visual style is modern television production, featuring clear imagery and naturalistic representation.",
shots: [{
prompt: "Subject 1 is smiling and gesturing with his right hand while facing the camera. Subject 2 is seen from behind, facing Subject 1. The scene is indoors in a well-decorated room, with a dark door and ornate glass visible in the background. The camera is static, providing a medium close-up shot of Subject 1.",
num_frames: 65
}, {
prompt: "Subject 2 is standing, looking at Subject 1 with a smile. Subject 1 is seen from the back, facing Subject 2. The scene is an indoor, spacious, and well-decorated room with a patterned rug and elegant furniture. The camera is static, providing a medium close-up shot of Subject 2.",
num_frames: 65
}, {
prompt: "Subject 1 is speaking animatedly, gesturing with his right hand, facing the camera. Subject 2 stands with her back to the camera, listening to Subject 1. The scene is indoors in a well-decorated room, with a dark door and ornate glass visible in the background. The camera maintains a close medium shot, capturing the subjects.",
num_frames: 65
}]
},
webhookUrl: "https://optional.webhook.url/for/results",
});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/multishot-master", {
requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b",
logs: true,
});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/multishot-master", {
requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b"
});
console.log(result.data);
console.log(result.requestId);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.
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.
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.
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);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.
prompt string* requiredGlobal story caption describing the overall scene, subjects, setting, and visual style. This provides inter-shot consistency.
List of shots to generate. Each shot has its own caption and frame count. Maximum 5 shots with a combined maximum of 308 frames.
negative_prompt stringNegative prompt describing undesired content in the generated video. Default value: "bright colors, overexposed, static, blurred details, subtitles, style, artwork, painting, picture, still, overall gray, worst quality, low quality, JPEG compression residue, ugly, incomplete, extra fingers, poorly drawn hands, poorly drawn faces, deformed, disfigured, malformed limbs, fused fingers, still picture, cluttered background, three legs, many people in the background, walking backwards"
resolution ResolutionEnumResolution of the generated video. Default value: "480p"
Possible enum values: 480p, 720p
aspect_ratio AspectRatioEnumAspect ratio of the generated video. Default value: "16:9"
Possible enum values: 16:9, 9:16
num_inference_steps integerNumber of denoising steps. Higher values produce better quality but take longer. Default value: 50
guidance_scale floatClassifier-free guidance scale. Default value: 5
seed integerRandom seed for reproducibility.
frames_per_second integerFrames per second of the output video. Default value: 16
enable_safety_checker booleanEnable safety checker for input/output content. Default value: true
{
"prompt": "Subject 1: A man wearing a grey t-shirt, dark vest. Subject 2: A woman with long brown hair, wearing a soft pink floral sundress. The whole scene takes place indoors in a spacious, well-decorated room. The visual style is modern television production, featuring clear imagery and naturalistic representation.",
"shots": [
{
"prompt": "Subject 1 is smiling and gesturing with his right hand while facing the camera. Subject 2 is seen from behind, facing Subject 1. The scene is indoors in a well-decorated room, with a dark door and ornate glass visible in the background. The camera is static, providing a medium close-up shot of Subject 1.",
"num_frames": 65
},
{
"prompt": "Subject 2 is standing, looking at Subject 1 with a smile. Subject 1 is seen from the back, facing Subject 2. The scene is an indoor, spacious, and well-decorated room with a patterned rug and elegant furniture. The camera is static, providing a medium close-up shot of Subject 2.",
"num_frames": 65
},
{
"prompt": "Subject 1 is speaking animatedly, gesturing with his right hand, facing the camera. Subject 2 stands with her back to the camera, listening to Subject 1. The scene is indoors in a well-decorated room, with a dark door and ornate glass visible in the background. The camera maintains a close medium shot, capturing the subjects.",
"num_frames": 65
}
],
"negative_prompt": "bright colors, overexposed, static, blurred details, subtitles, style, artwork, painting, picture, still, overall gray, worst quality, low quality, JPEG compression residue, ugly, incomplete, extra fingers, poorly drawn hands, poorly drawn faces, deformed, disfigured, malformed limbs, fused fingers, still picture, cluttered background, three legs, many people in the background, walking backwards",
"resolution": "480p",
"aspect_ratio": "16:9",
"num_inference_steps": 50,
"guidance_scale": 5,
"frames_per_second": 16,
"enable_safety_checker": true
}The generated multi-shot narrative video.
seed integer* requiredThe seed used for generation.
Performance timing information.
{
"video": {
"file_name": "output.mp4",
"url": "https://v3b.fal.media/files/b/0a8fb858/x6xEQNBP9m61inmR6p_WH_output.mp4",
"file_size": 837114,
"content_type": "video/mp4"
},
"seed": 680491931
}url string* requiredThe URL where the file can be downloaded from.
content_type stringThe mime type of the file.
file_name stringThe name of the file. It will be auto-generated if not provided.
file_size integerThe size of the file in bytes.
prompt string* requiredCaption describing what happens in this shot, including subject actions, camera angles, and scene details.
num_frames integerNumber of frames for this shot. Each shot must have between 17 and 100 frames. Default value: 65