Instructions to use Rareshika/ioai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rareshika/ioai with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Rareshika/ioai", 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:
- ffafeed9fe3a98b25b6f5eb04c01f49f3b691c5fa94f352c5a358a81c85512f3
- Size of remote file:
- 167 MB
- SHA256:
- 0f3f3f38d1393f412ccfbd044b4920b7aee74c520dc01436fac38e456bf83d5e
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