Instructions to use jyp96/dog3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jyp96/dog3 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/dog3") prompt = "A photo of sks dog3 in a bucket" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 052131ef53d73b0a351bd2ebfef9e1fcc8cd6e2a8468b8a38d73c5adfaf302e7
- Size of remote file:
- 19.1 MB
- SHA256:
- 271cfcd8d326c30b0a3332934036091c7925972140bcbc0550608b44af558dea
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