Instructions to use Freepik/flux.1-lite-8B-alpha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Freepik/flux.1-lite-8B-alpha 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-alpha", 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/skip_blocks/skip_one_DIT_block.png from Freepik/flux.1-lite-8B-alpha: direct link, hf CLI and curl.
- Browser
- Download file 25.3 MB
-
https://huggingface.co/Freepik/flux.1-lite-8B-alpha/resolve/main/sample_images/skip_blocks/skip_one_DIT_block.png
- Command line
-
hf download hf://Freepik/flux.1-lite-8B-alpha/sample_images/skip_blocks/skip_one_DIT_block.png
-
curl -L -o skip_one_DIT_block.png https://huggingface.co/Freepik/flux.1-lite-8B-alpha/resolve/main/sample_images/skip_blocks/skip_one_DIT_block.png
25.3 MB
- Xet hash:
- 84175dc5693ef4b1c078bf31b2c3312f6ebd009163eecfd0b94bf7bcdccc861c
- Size of remote file:
- 25.3 MB
- SHA256:
- 17a1255b01e0e3b08720bf5439d2b19acdd7241a824baf9995d41da380c840c8
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