Instructions to use ringhyacinth/nail-set-diffuser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ringhyacinth/nail-set-diffuser with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ringhyacinth/nail-set-diffuser", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 2eefacfb933a67eda551270db0200fb4ea21f2d9a6a61a8cfd5e0ec4227e77f7
- Size of remote file:
- 3.44 GB
- SHA256:
- 5558603cc48d23200350322b60f4cff4c56ea3b59548261b71c041466fe9f36f
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