Instructions to use shantanudave/dreambooth2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use shantanudave/dreambooth2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("shantanudave/dreambooth2", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a shantanudave" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 6e9fb152db7b820cb8b70a53a7d2c1689b8ec2c5f9238009d0bb02262ecc2175
- Size of remote file:
- 23.4 MB
- SHA256:
- 27dd5de607a9c0e0827df4ca290ebf13e2458a77e60920edb011a38e0205cf55
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