Instructions to use AiModeler/Alart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AiModeler/Alart with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AiModeler/Alart", 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:
- fed51a4f9a34f8b0d7c5be6a387ded8ef9271b96ad971c83ceb02d8f49ac27f9
- Size of remote file:
- 335 MB
- SHA256:
- 175ebb4ad6aaac3efa6bbca33708468840d434dcc094890e48b710e10fda81b8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.