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:
- 40f278d036782f285856adc4dc84ffa9d0d24d921116658eb36dfeb37fce7625
- Size of remote file:
- 1.59 MB
- SHA256:
- e094b6fd9999cd2c7e05f290789994aa8eefb3baa5005ad0655b0c7bdf6d756d
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