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irulkenzei /musetalk:42aaa8a9

Input schema

The fields you can use to run this model with an API. If you don’t give a value for a field its default value will be used.

Field Type Default value Description
face
string
Source face -- a still image or a talking-head video. This identity gets lip-synced to 'audio'.
audio
string
Driving audio (wav/mp3/etc.) that the face's mouth will be synced to.
version
None
v15
MuseTalk model version. v15 is the recommended/higher-quality version.
bbox_shift
integer
0

Min: -9

Max: 9

Vertical face bounding-box shift in pixels (v1 only, ignored for v15). Positive = lower mouth region.
extra_margin
integer
10

Max: 40

Extra chin margin in pixels for the face crop (v15 only).
parsing_mode
None
jaw
Face mask blending mode used when compositing the generated mouth back onto the source frame (v15 only).
left_cheek_width
integer
90

Min: 20

Max: 160

Left cheek mask width in pixels (v15 only).
right_cheek_width
integer
90

Min: 20

Max: 160

Right cheek mask width in pixels (v15 only).
fps
integer
25

Min: 1

Max: 60

Output frame rate. Only used when 'face' is a still image -- a video 'face' input keeps its own source FPS.
audio_padding_length_left
integer
2

Max: 10

Left audio context padding, in Whisper feature frames.
audio_padding_length_right
integer
2

Max: 10

Right audio context padding, in Whisper feature frames.
batch_size
integer
8

Min: 1

Max: 32

Inference batch size. Lower this if you hit GPU out-of-memory.
use_float16
boolean
True
Run in float16 for lower VRAM usage and faster inference, at a small quality cost.

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema
{'format': 'uri', 'title': 'Output', 'type': 'string'}