Instructions to use GraydientPlatformAPI/zavy-yume with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/zavy-yume 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/zavy-yume", 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:
- 29d44c6d160dc76beee23ffce359ad5ffe227c6b87fd9fcf18de5e09093e34b8
- Size of remote file:
- 246 MB
- SHA256:
- 78ac120c62fb4bb38d858a75706c67926707f8ab7a2ab8ba65730032d249917d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.