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", 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
- Draw Things
- DiffusionBee
Right f-lite repo location
Browse files
README.md
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Experience F Lite instantly through our [interactive demo](https://huggingface.co/spaces/Freepik/F-Lite) on Hugging Face or at [fal.ai](https://fal.ai/models/fal-ai/f-lite/standard).
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F Lite works with both the `diffusers` library and [ComfyUI](https://www.comfy.org/). For details, see the [F Lite GitHub repository](https://github.com/
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# Technical Report
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Experience F Lite instantly through our [interactive demo](https://huggingface.co/spaces/Freepik/F-Lite) on Hugging Face or at [fal.ai](https://fal.ai/models/fal-ai/f-lite/standard).
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F Lite works with both the `diffusers` library and [ComfyUI](https://www.comfy.org/). For details, see the [F Lite GitHub repository](https://github.com/fal-ai/f-lite).
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# Technical Report
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