Instructions to use marcosremar2/MuseTalk1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use marcosremar2/MuseTalk1.5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("marcosremar2/MuseTalk1.5", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
| import React from 'react' | |
| export function ModeBadge({ mode }) { | |
| const getModeInfo = () => { | |
| switch (mode) { | |
| case 'webrtc': | |
| return { className: 'webrtc', text: 'WebRTC (UDP ~100ms)' } | |
| case 'h264': | |
| return { className: 'h264', text: 'H.264 WebSocket (~200ms)' } | |
| case 'jpeg': | |
| return { className: 'jpeg', text: 'JPEG WebSocket (~300ms)' } | |
| default: | |
| return { className: 'detecting', text: 'Detectando melhor modo...' } | |
| } | |
| } | |
| const { className, text } = getModeInfo() | |
| return ( | |
| <div className={`mode-badge ${className}`}> | |
| {text} | |
| </div> | |
| ) | |
| } | |