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AIImageStudio
/
ReversalFilmGravure_z_Image_turbo

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

Instructions to use AIImageStudio/ReversalFilmGravure_z_Image_turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use AIImageStudio/ReversalFilmGravure_z_Image_turbo with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("AIImageStudio/ReversalFilmGravure_z_Image_turbo")
    
    prompt = "Reversal Film Gravure,  analog film photography, 4k, depth of field, a beautiful young woman, 20 years old, large natural breasts sag under her clothes, deep cleavage, slim waist and round hip, long legs, wearing espadrilles, wearing 2070s eco-friendly custom outfit,, looking over one shoulder, sitting with both legs extended, Serengeti, Gusts of wind weather, day-for-night color grading, polaroid 600 film analog film, summer lighting, de-noise effects, wintry color modifier, Opponent process optical effect, halloween movie genre, over-the-shoulder shot,"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
ReversalFilmGravure_z_Image_turbo
219 MB
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  • 1 contributor
History: 2 commits
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AIImageStudio
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  • .gitattributes
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  • README.md
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  • z_image_turbo_ReversalFilmGravure_v1.0.safetensors
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    xet
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