Instructions to use vanim/stable_diffusion_dreambooth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vanim/stable_diffusion_dreambooth with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("vanim/stable_diffusion_dreambooth", 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:
- 3a4f9c0d7e68c07b8fea93035d831be159fddd6192eaf605e6b0f51dc6d75ec3
- Size of remote file:
- 1.73 GB
- SHA256:
- 5d53b5c1d3af0a9ac201145a11c996c181655b4865237cac894d99a1c7d94ee5
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