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", 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:
- 90b3a0b337faf6232847e9da92c5b9e9faf78021b47a9dcbb1d2a8fbf0900ab9
- Size of remote file:
- 492 MB
- SHA256:
- 1d52b4c149699dc0ef32d28f824405f587c17f20a6d3ec96cc6bde4cbdf6d33c
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