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:
- 660b253b0ca55138379d7e21f2108b8c968362747e592339d03651f231b2f1d9
- Size of remote file:
- 6.59 MB
- SHA256:
- 49b7512e701f791fa1b3667eb85ac26534543f15d5845690cce193578067e3ed
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