Instructions to use GraydientPlatformAPI/cashani with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/cashani 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/cashani", 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:
- 349737c6cc44d2c79bd50d9a402b5228d04ef9e5af5a0f9799c40d3409c5ae34
- Size of remote file:
- 5.14 GB
- SHA256:
- 9febb6cac8aaece31088c8b40fdfbd765ab83422426c5bb991781fa577c17544
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