Instructions to use jrick6/sks_dog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jrick6/sks_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("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("jrick6/sks_dog") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 594497fe64c6af6f8d9e97ffbd559afdc55ae0f31d1e645040934b0b18bcc1d4
- Size of remote file:
- 9.03 MB
- SHA256:
- a88d5834700768b4c025e852ee36738bd08cc1ed3aa093325e2be9691179e34f
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