Instructions to use Stablelab/stablelab-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Stablelab/stablelab-models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Stablelab/stablelab-models", 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:
- bab0a1e29760cce81b7590fa20eac1aadb5db8718ea50994fbe8f23bdaf5197d
- Size of remote file:
- 320 MB
- SHA256:
- 6f23c58fd632f52238a7b35ebdc02f9f596fd13dbaa121f9b37b9f4689c2b1e9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.