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fahminoor
/
zenmagh3

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

Instructions to use fahminoor/zenmagh3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use fahminoor/zenmagh3 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("rupeshs/LCM-runwayml-stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("fahminoor/zenmagh3")
    
    prompt = "zenmagh, single glass bottle with white plastic cap, product packshot, bottle only, white seamless background, softbox studio lighting, soft shadow on table, sharp edges, realistic materials, 50mm photo"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
zenmagh3
77 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
fahminoor's picture
fahminoor
Add 3 files
f36ef0d verified 9 months ago
  • images
    Add 3 files 9 months ago
  • .gitattributes
    2.31 kB
    initial commit 9 months ago
  • README.md
    860 Bytes
    initial commit 9 months ago
  • zenmagh.safetensors
    75.6 MB
    xet
    Add 3 files 9 months ago