Instructions to use Miayan/freelit-checkpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Miayan/freelit-checkpoint with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Miayan/freelit-checkpoint", 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:
- 30a1af04a6b4fc3baf536bc23c8f915d0589ed24097ab7661ed84028411c9b65
- Size of remote file:
- 1.46 GB
- SHA256:
- be86b95516d1d2fe585ecee2e63f8bc93e0c991559731a71ae42679cbba72e59
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.