Instructions to use jyp96/dog5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jyp96/dog5 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/dog5") prompt = "A photo of sks dog5 in a bucket" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 047f8ed4e02caa706c334cd5fd700826e3763381c51f39370edb280de6061150
- Size of remote file:
- 19.1 MB
- SHA256:
- 854ef2a877e43495fce9346ab48e07d6e0ac39eafb449685c793798811eb6474
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