Instructions to use igorshmel/arisha-original with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use igorshmel/arisha-original with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("igorshmel/arisha-original", 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:
- d63a220e220e5440cf4be858b39b398014eb8b36fb9c97e75a58429549c697a3
- Size of remote file:
- 492 MB
- SHA256:
- 395a88d078bec86cdd16bdea1949077242cdb7807d3be316ed651e53cf0cbdf4
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