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Freepik
/
F-Lite

Text-to-Image
Diffusers
Safetensors
English
FLitePipeline
Model card Files Files and versions
xet
Community
8

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
F-Lite
29.4 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 14 commits
ideprado's picture
ideprado
Revert "Upload f_lite.model.py (#8)"
eea9761 9 months ago
  • dit_model
    Revert "Upload f_lite.model.py (#8)" 9 months ago
  • text_encoder
    Upload folder using huggingface_hub about 1 year ago
  • tokenizer
    Upload folder using huggingface_hub about 1 year ago
  • vae
    Upload folder using huggingface_hub about 1 year ago
  • .gitattributes
    1.61 kB
    Model Card v1 about 1 year ago
  • README.md
    2.1 kB
    Right f-lite repo location about 1 year ago
  • model_index.json
    306 Bytes
    Update model_index.json about 1 year ago
  • output_tight_mosaic.jpeg
    1.11 MB
    xet
    Improved grid about 1 year ago