Instructions to use ariciano/selestu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ariciano/selestu with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ariciano/selestu", 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
- Draw Things
- DiffusionBee
- Xet hash:
- f2a6353f9a705841ae8016ddfa54b2993bfd8af9653166613de08878bb04969e
- Size of remote file:
- 246 MB
- SHA256:
- bf9e27f30461b67c4ff1dd09456e851fcdc62a6b407af55403605e881bac7a54
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