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
- Xet hash:
- ec49f9696eb2c53c981f9667d2129d6c191b22190bc0cdc3b969bdf40c24cdf5
- Size of remote file:
- 135 MB
- SHA256:
- e424e44ccb10a43705f6522e5ba96b727242d27379728e026d195d0f10caba3f
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