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
Download sample_images/models_comparison.png from Freepik/flux.1-lite-8B: direct link, hf CLI and curl.
- Browser
- Download file 5.54 MB
-
https://huggingface.co/Freepik/flux.1-lite-8B/resolve/main/sample_images/models_comparison.png
- Command line
-
hf download hf://Freepik/flux.1-lite-8B/sample_images/models_comparison.png
-
curl -L -o models_comparison.png https://huggingface.co/Freepik/flux.1-lite-8B/resolve/main/sample_images/models_comparison.png
5.54 MB

- Xet hash:
- c1c51340f5301a3ce4d145a9a53fe4249867be2db86c2f2e87d0fac6fced699b
- Size of remote file:
- 5.54 MB
- SHA256:
- 498c1996c6f9f0d192454427e41076cd911a2b74267783f545c0a38513117f01
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