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
Upload README.md with huggingface_hub
Browse files
README.md
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@@ -31,12 +31,28 @@ An all-in-one Media Server for Skill Pilot AI Agent https://skill-pilot.ai. Incl
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```bash
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docker pull skillpilot/media-server:latest
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docker run --gpus all \
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skillpilot/media-server:latest
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```
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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.
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Tested on NVIDIA RTX 2060 GPU (12 GB VRAM) - MuseTalk live avatar can have real-time performance at 12 FPS.
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All models included in this repository are licensed under their respective licenses. Please refer to the individual model documentation for details.
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```bash
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docker pull skillpilot/media-server:latest
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docker run --gpus all \
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-p 18188:8188 -p 17860:7860 -p 18080:8080 \
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-p 13478:3478 -p 13478:3478/udp \
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-p 15349:5349 -p 15349:5349/udp \
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skillpilot/media-server:latest
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```
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When the container is running, it will automatically download the modeles by comand line below:
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```bash
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huggingface-cli download skill-pilot/media-mcp --local-dir /home/ubuntu/workspace/models
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```
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Use command below to check the downloading process in the container:
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```bash
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tmux attach -t download -r
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```
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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.
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For how to use the media mcp server, please check at https://skill-pilot.ai, Find the our Discord server invite link at https://skill-pilot.ai and join us for support.
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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.
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Tested on NVIDIA RTX 2060 GPU (12 GB VRAM) - MuseTalk live avatar can have real-time performance at 12 FPS.
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All models included in this repository are licensed under their respective licenses. Please refer to the individual model documentation for details.
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