Instructions to use GraydientPlatformAPI/asmodeux3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/asmodeux3 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/asmodeux3", 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:
- 174f24a6251a6f4beed87d4e3ec7cec32d17295997f0fc16846977240136fe3a
- Size of remote file:
- 5.14 GB
- SHA256:
- d10d4aa1dda88c6f0cb06b1867d1f6a772dabba052ac77734d90ba718198fefe
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.