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:
- 8d26d027f45fb24a6fb1b8e230fe750f383d61b2e01e89b7a24c8388757c19ad
- Size of remote file:
- 1.58 MB
- SHA256:
- b4e6a6d4e4dda2d5cc34edaa4ed2e9b14c5a24722b7485603852b7dc800a2cfb
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