MusePose Video to Video
This endpoint is deprecated
This model is no longer supported.
This endpoint is deprecated
This model is no longer supported.
About
Run
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("fal-ai/muse-pose", {
input: {
image_url: "https://storage.googleapis.com/falserverless/model_tests/musepose/ref.png",
video_url: "https://storage.googleapis.com/falserverless/model_tests/musepose/dance.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);
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#
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#
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/muse-pose", {
input: {
image_url: "https://storage.googleapis.com/falserverless/model_tests/musepose/ref.png",
video_url: "https://storage.googleapis.com/falserverless/model_tests/musepose/dance.mp4"
},
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/muse-pose", {
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/muse-pose", {
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#
image_url
string
* requiredURL of the image to animate.
video_url
string
* requiredThe URL of the video to drive the animation
dwpose_detection_resolution
integer
The resolution to use for the pose detection. Default value: 512
dwpose_image_resolution
integer
The resolution to use for the image during pose calculation. Default value: 720
dwpose_align_frame
integer
The frame to align the pose to.
width
integer
The width of the output video. Default value: 748
height
integer
The height of the output video. Default value: 748
length
integer
The length of the output video. Default value: 300
slice
integer
The video slice frame number Default value: 48
overlap
integer
The video slice overlap frame number Default value: 4
cfg
float
Classifier free guidance Default value: 3.5
seed
integer
The seed to use for the random number generator.
steps
integer
DDIM sampling steps Default value: 20
fps
integer
The frames per second of the output video.
skip
integer
Number of input frames to skip. Skipping 1 effectively reduces the fps in half. Default value: 1
{
"image_url": "https://storage.googleapis.com/falserverless/model_tests/musepose/ref.png",
"video_url": "https://storage.googleapis.com/falserverless/model_tests/musepose/dance.mp4",
"dwpose_detection_resolution": 512,
"dwpose_image_resolution": 720,
"width": 748,
"height": 748,
"length": 300,
"slice": 48,
"overlap": 4,
"cfg": 3.5,
"steps": 20,
"skip": 1
}
Output#
The generated video with the lip sync.
{
"video": {
"url": "",
"content_type": "image/png",
"file_name": "z9RV14K95DvU.png",
"file_size": 4404019
}
}
Other types#
File#
url
string
* requiredThe 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.
file_data
string
File data