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:
- d612306fc8340c2037956750cf7e3b3687aac89c6449b20849146c247a09dec3
- Size of remote file:
- 1.21 MB
- SHA256:
- 194b62d95b786a8bc15d9246af690ad5a255f8fefc28a7bba159a475356e5dda
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