Instructions to use GraydientPlatformAPI/cashani2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/cashani2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/cashani2", 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:
- a5563c8f7ef32ed4aa56db48b1c399289cbf661171e8454072134a13d5f459e6
- Size of remote file:
- 5.14 GB
- SHA256:
- affed5baa435caf3a78d1034960411d1a4e781b4c26890dced34e5ebf9d62ac8
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