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:
- c99d4691f91e3dddcbfcbf6aaac15fd78cc9fb1e99cfe98d35de0ea4cb95dd7e
- Size of remote file:
- 1.7 MB
- SHA256:
- e0ddb2543b1e7238c8ad718ea6986c57868342d1aae52ee7e8e4d2500f93826b
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