Inference Logoinference.sh
apps/heygen/create-avatar

create-avatar

Create HeyGen avatars from video footage (digital twin), a photo (photo avatar), or a text prompt (AI-generated). Returns a look ID for use with avatar-video.

run with your agent
# install belt
$curl -fsSL https://cli.inference.sh | sh
# view schema & details
$belt app get heygen/create-avatar
# run
$belt app run heygen/create-avatar

api reference

about

create heygen avatars from video footage (digital twin), a photo (photo avatar), or a text prompt (ai-generated). returns a look id for use with avatar-video.

1. calling the api

install the client

the client provides a convenient way to interact with the api.

bash
1pip install inferencesh

setup your api key

set INFERENCE_API_KEY as an environment variable. get your key from settings → api keys.

bash
1export INFERENCE_API_KEY="inf_your_key"

run and get result

submit a request and wait for the final result. best for batch processing or when you don't need progress updates.

python
1from inferencesh import inference23client = inference()456result = client.run({7        "app": "heygen/create-avatar",8        "input": {}9    })1011print(result["output"])

stream live updates

get real-time progress updates as the task runs. ideal for showing progress bars, partial results, or long-running tasks.

python
1from inferencesh import inference23client = inference()456# stream=True yields updates as they arrive7for update in client.run({8        "app": "heygen/create-avatar",9        "input": {}10    }, stream=True):11    if update.get("progress"):12        print(f"progress: {update['progress']}%")13    if update.get("output"):14        print(f"output: {update['output']}")

2. authentication

the api uses api keys for authentication. see the authentication docs for detailed setup instructions.

3. files

file inputs are automatically handled by the sdk. you can pass local paths, urls, or base64 data.

automatic upload

the python sdk automatically detects local file paths and uploads them. urls are passed through as-is.

python
1# local file paths are automatically uploaded2result = client.run({3    "app": "heygen/create-avatar",4    "input": {5        "image": "/path/to/local/image.png",  # detected & uploaded6        "audio": "https://example.com/audio.mp3",  # url passed through7    }8})

manual upload

you can also upload files manually and use the returned url.

python
1# upload and get a hosted URL2file = client.files.upload("/path/to/file.png")3print(file.uri)  # https://cloud.inference.sh/...

4. webhooks

get notified when a task completes by providing a webhook url. when the task reaches a terminal state (completed, failed, or cancelled), a POST request is sent to your url with the task result.

python
1result = client.run({2    "app": "heygen/create-avatar",3    "input": {},4    "webhook": "https://your-server.com/webhook"5}, wait=False)

webhook payload

your endpoint receives a JSON POST with the task result:

json
1{2  "id": "task_abc123",3  "status": 9,4  "output": { ... },5  "error": "",6  "session_id": null,7  "created_at": "2024-01-15T10:30:00Z",8  "updated_at": "2024-01-15T10:30:05Z"9}
idstringtask id
statusnumberterminal status (9=completed, 10=failed, 11=cancelled)
outputobjecttask output (when completed)
errorstringerror message (when failed)
session_idstringsession id (if using sessions)
created_atstringiso timestamp
updated_atstringiso timestamp

5. schema

input

typestring*

avatar creation method. 'digital_twin' from video, 'photo' from image, 'prompt' from text description.

options:"digital_twin""photo""prompt"
namestring*

display name for the avatar.

filestring(file)

video file (digital_twin) or image file (photo). required for digital_twin and photo types.

promptstring

text description of the avatar to generate. required for prompt type.

example: "A professional woman in her 30s with short dark hair, wearing a navy blazer, in a modern office setting"
avatar_group_idstring

attach this look to an existing avatar group/character identity.

output

avatarobject*

the created avatar look

groupobject*

the avatar group/character identity

ready to run create-avatar?

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