Instructions to use thisisAce/Model_Store with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use thisisAce/Model_Store with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("thisisAce/Model_Store", 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
- Xet hash:
- 5ed31e093775c939e7a31c0f44d3d107aa57692644d88284761965ddd676c23f
- Size of remote file:
- 848 MB
- SHA256:
- e92dc36cc273bac3200b2e41807ebdc174076185d95a45238558d4c236b6da74
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.