Instructions to use satani/dreambooth_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use satani/dreambooth_lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("anitoon", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("satani/dreambooth_lora") prompt = "a photo of sks boy" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 10c84c85a64e2eb32f8e2095d0102d379d5ae71259a2b1b1be47bf490f7c4a30
- Size of remote file:
- 3.4 MB
- SHA256:
- 1bffb5c1dbbf9b56c305e14841aa116c3d5841fba719c68221c56167f80601e8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.