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:
- 16ae7a16dc4003fbbd9a9782e1c8e75818a1bc4cf05d93a6f5f14dac23b3d4d5
- Size of remote file:
- 4 MB
- SHA256:
- b5deb09cef2ab3d06667826f4a473daa27f39f23b41e30a772008c4babdbd8c1
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