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", torch_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:
- 5d4bf67773677dbadc88c99be9870464af0f320ef6dccad6b433bb07a1c0d459
- Size of remote file:
- 167 MB
- SHA256:
- 3b0f1843b01fbf820827e257eec40db099cde863f07314ae6ab641298e11fc98
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