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:
- d8aae30a7e5bfd7a3a6b5cff171d9a34c29b4cd446a49aaf9e145ae12700bc7c
- Size of remote file:
- 988 Bytes
- SHA256:
- 92873c8c89778fe11b8eeb338a181eefdf056f2f8096c36bf259c3fd791afb34
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