Text-to-Speech
Diffusers
Safetensors
GGUF
docker
comfyui
talking-face
lip-sync
live-avatar
music-generation
image-generation
video-generation
skill-pilot
Instructions to use skill-pilot/media-mcp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use skill-pilot/media-mcp with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("skill-pilot/media-mcp", 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
File size: 2,447 Bytes
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license: mit
tags:
- docker
- comfyui
- text-to-speech
- talking-face
- lip-sync
- live-avatar
- music-generation
- image-generation
- video-generation
- skill-pilot
---
# Skill Pilot Media Server
An all-in-one Media Server for Skill Pilot AI Agent https://skill-pilot.ai. Includes ComfyUI for image/video generation, IndexTTS for text-to-speech, MuseTalk for talking video and live avatar, and SongBloom for music creation.
## Included Models and Tools
| Tool | Capabilities |
|------|-------------|
| **ComfyUI** | Image generation, video generation, and talking video via Z-Image and Wan2.2 |
| **IndexTTS** | High-quality text-to-speech synthesis |
| **MuseTalk** | Lip-sync video generation and real-time live avatar |
| **SongBloom** | AI music & song creation |
## How to Use
```bash
docker pull skillpilot/media-server:latest
docker run --gpus all \
-p 18188:8188 -p 17860:7860 -p 18080:8080 \
-p 13478:3478 -p 13478:3478/udp \
-p 15349:5349 -p 15349:5349/udp \
skillpilot/media-server:latest
```
When the container is running, it will automatically download the modeles by comand line below:
```bash
huggingface-cli download skill-pilot/media-mcp --local-dir /home/ubuntu/workspace/models
```
Use command below to check the downloading process in the container:
```bash
tmux attach -t download -r
```
You can use the services until the downloading process is completed. The models will be stored in the `/home/ubuntu/workspace/models` directory inside the container.
For how to use the media mcp server, please check at https://skill-pilot.ai, and find our Discord server invite link at https://skill-pilot.ai and join us for support.
The image is built on runpod/pytorch:2.4.0-py3.11-cuda12.4.1-devel-ubuntu22.04, ensuring compatibility with a wide range of NVIDIA GPUs and CUDA versions.
Tested on NVIDIA RTX 2060 GPU (12 GB VRAM) - MuseTalk live avatar can have real-time performance at 12 FPS.
Supports local GPU acceleration with NVIDIA drivers on the host machine or Runpod Cloud environments.
Free community support — no account required.
Join our Discord server for help, setup, tips, and updates. Find the invite link at **https://skill-pilot.ai**.
## License
Free and open source https://skill-pilot.ai · **MIT License**
All models included in this repository are licensed under their respective licenses. Please refer to the individual model documentation for details.
|