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:
- 01801d3556c4a4a267536048583cdd7368c88428ec9b8e388fe419e55ed4e6dd
- Size of remote file:
- 19.1 MB
- SHA256:
- 0eb5c14fe131c2fdcd369a8cd68f509f563936ef600a6d0eed1930df20a577d0
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