Instructions to use MagicBooth/mush with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MagicBooth/mush with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MagicBooth/mush", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 6848c9ef77be2880a8ced1c1785c1cf430800b68f1ee8ea6803f156a1aa6f42b
- Size of remote file:
- 1.73 GB
- SHA256:
- 60cda4953f9e71a0858c175fdc576246438d1bf68c6e7bf12e4ba14ab15fedfd
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