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:
- 5b8eebd9d6f543f9ad74f22205f81e67efd88dea3224fcfd2945a9d4befe49a4
- Size of remote file:
- 6.59 MB
- SHA256:
- d6355d966d5e35d6b5d3b24749238185395125858fe85130a84aa60b0d7c2431
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