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fabdream
/
Comicbook-vintage

Text-to-Image
Diffusers
lora
template:diffusion-lora
Model card Files Files and versions
xet
Community
1

Instructions to use fabdream/Comicbook-vintage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use fabdream/Comicbook-vintage with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("fabdream/Comicbook-vintage")
    
    prompt = "comic book art, a handsome male astronaut wearing sleek modern spacesuit holding a retro laser pistol on (A massive, ancient spaceship floating derelict in deep space.), retro sci-fi style, dynamic lighting, digital art, cinematic shot, fantastically beautiful, illustration, aesthetically inspired by classic sci-fi movies, by Paul Lehr by Jon Whitcomb, samdoesart, dreamlikeart."
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
Comicbook-vintage
213 MB
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  • 1 contributor
History: 2 commits
fabdream's picture
fabdream
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a6f379d verified almost 2 years ago
  • images
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  • .gitattributes
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    initial commit almost 2 years ago
  • Comic book V2.safetensors
    211 MB
    xet
    Add 2 files almost 2 years ago
  • README.md
    933 Bytes
    initial commit almost 2 years ago