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:
- 5807c0b56bd35b5fb07d949afb56139ede43b34c186f42c4c07c5d5cfac933a8
- Size of remote file:
- 19.1 MB
- SHA256:
- 5bff9963c0f16af72f5b84761756cf19ddb265e49adbb41578dee4b6745d31ad
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