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
- Draw Things
- DiffusionBee
- Xet hash:
- c841a439567cc62d33caf25ca6b011ddf0068caf25079d5cb4e397fcfaa48faa
- Size of remote file:
- 681 MB
- SHA256:
- 1fef1d917fafbfef03e715e37915fc6dc63031e49961d07db2f956c4a84b5de8
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