Instructions to use Freepik/flux.1-lite-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Freepik/flux.1-lite-8B 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/flux.1-lite-8B", 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:
- ed828a62fc1e401c3004c61b48c266e00b185b76cd76c5190bbf51e1e7dfb127
- Size of remote file:
- 2.26 MB
- SHA256:
- c02027a58e37ccb3c100f1653f66db51709d04efdafc0162c449056b5ff0718c
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