Instructions to use jyp96/backpack_dog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jyp96/backpack_dog 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_dog") prompt = "A photo of sks backpack_dog in a bucket" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 39e60cd9d42ea4893e6f40f9c683cb1dbccb90e10519baee6ce78bc93f5e413a
- Size of remote file:
- 1 kB
- SHA256:
- 0ef46009c170e770bb4a49bd8fee0be36a9fb76bdf2721c47b8960010c51f446
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