Instructions to use Seokeon/example5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Seokeon/example5 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/example5") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 992be2ef4fa2f5f1235b7f3dd6dbdde57f83d707306f5fe6ce71b5ecedf5a366
- Size of remote file:
- 6.59 MB
- SHA256:
- 29c487c8e1be35f53832eddc7a5225d49e0534cf63cf71d912f8a16cfb0ab289
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