Instructions to use jyp96/backpack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jyp96/backpack with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3-medium-diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("jyp96/backpack") prompt = "A photo of sks backpack in a bucket" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 9f719a18f6aafca860eda13aa3a4476450c938b4e5a7b54df75fd59bae43bfae
- Size of remote file:
- 19.1 MB
- SHA256:
- 30bb07d8e0c5cda5e85f28c0ae093c665042b9a42b1068e01b92c81fe2746f3e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.