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:
- bb92efc8fc2d9a274acbc349fb1aaa5ac8b22660c7b7cae0a23d66bdd5a31a86
- Size of remote file:
- 1.55 MB
- SHA256:
- daff65fce3fa8efa93582a338175399d019903f58b2576be0784419c9f6e9303
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