Instructions to use patrickvonplaten/lora_dreambooth_dog_example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use patrickvonplaten/lora_dreambooth_dog_example with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("patrickvonplaten/lora_dreambooth_dog_example") 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:
- 5452b47fc925a0e023703550be28cc502c34e476d26f51530489a526d30d1ceb
- Size of remote file:
- 6.59 MB
- SHA256:
- 0df6d40f9a448f8e7e8aada0de194fe7de55b3f1a2547dfbec28c532c75add66
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