codehappynice/infinitetalk

Public
7 runs

Run codehappynice/infinitetalk with an API

Use one of our client libraries to get started quickly. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project.

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
image
string
Reference portrait image
audio
string
Driving audio (wav/mp3/m4a)
prompt
string
A person is talking naturally to the camera.
Describe the scene and motion
negative_prompt
string
bright tones, overexposed, static, blurred details, subtitles, style, works, paintings, images, static, overall gray, worst quality, low quality, JPEG compression residue, ugly, incomplete, extra fingers, poorly drawn hands, poorly drawn faces, deformed, disfigured, misshapen limbs, fused fingers, still picture, messy background, three legs, many people in the background, walking backwards
Negative prompt
resolution
None
480
Output resolution bucket
num_frames
integer
81

Min: 25

Max: 1001

Number of frames (auto-adjusted to 4n+1). 81 frames ~= 3.2s
sampling_steps
integer
40

Min: 4

Max: 100

Diffusion sampling steps
text_guide_scale
number
5

Min: 1

Max: 15

Text guidance scale (CFG). Optimal value is ~5 without LoRA.
audio_guide_scale
number
4

Min: 1

Max: 15

Audio guidance scale (lip sync). Higher improves sync; ~4 is optimal.
use_teacache
boolean
True
Enable TeaCache acceleration
seed
integer
Random seed for reproducible generation. Leave blank to randomize.

Output schema

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

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