Instructions to use Seokeon/example4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Seokeon/example4 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("Seokeon/example4") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 74a55a2dc92bb5291d69ab31f078b1497655cdf67339283585881b5ecd2f9ac6
- Size of remote file:
- 6.59 MB
- SHA256:
- 486fe65c22dc5aa5f08851ad1e3cd89a62c724230135eb188a67146a3b2989ea
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