Instructions to use Freepik/F-Lite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Freepik/F-Lite with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Freepik/F-Lite", torch_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:
- d0d51cda65c7f119f9d31716d00d1c829a799477a343ace5463e0b58a95c63f2
- Size of remote file:
- 1.11 MB
- SHA256:
- 17cd61ec3c7b80ac739ce83fe6f65ff8dfd99979c28be0d02cec4dfe0add3165
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.