Instructions to use TMElyralab/MuseV with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TMElyralab/MuseV with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TMElyralab/MuseV", 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
Download data/models/musev_structure.png from TMElyralab/MuseV: direct link, hf CLI and curl.
- Browser
- Download file 131 kB
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https://huggingface.co/TMElyralab/MuseV/resolve/main/data/models/musev_structure.png
- Command line
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hf download hf://TMElyralab/MuseV/data/models/musev_structure.png
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curl -L -o musev_structure.png https://huggingface.co/TMElyralab/MuseV/resolve/main/data/models/musev_structure.png
131 kB
