Instructions to use Seokeon/example7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Seokeon/example7 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/example7") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 6e38eb3108e7c25de04c25e54340886ec5c83a7a8f647dc22bd3b8c455ba582a
- Size of remote file:
- 4 MB
- SHA256:
- 7223e1223e2f59133a41440dc344e9917cfc0ebb88e3f1d0364b8b7f89e451be
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