Instructions to use sd-dreambooth-library/dog-hack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sd-dreambooth-library/dog-hack with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sd-dreambooth-library/dog-hack", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 12ace510c23f436ae3f8db174994bb54ac2978a855148e4c3e3a573913570ee4
- Size of remote file:
- 681 MB
- SHA256:
- f2a06cf32cf585d03b55fef302142a5321b761ec440113925f64f4ceaffc7730
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