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gz8iz
/
Cem_Ozdemir

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

Instructions to use gz8iz/Cem_Ozdemir with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use gz8iz/Cem_Ozdemir with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("gz8iz/Cem_Ozdemir")
    
    prompt = "cod bre in front of a green background, ambient light, dynamic dramatic cinematic color, professional composition, elegant, beautiful detailed, extremely aesthetic, intricate, creative, fine detail, full, perfect, colorful, epic, best, awesome, surreal, inspired, highly coherent, pretty, stunning, sharp, complex, amazing, brilliant, vivid colors, awarded, very inspirational, marvelous"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
Cem_Ozdemir
229 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
WeizenGitter400's picture
WeizenGitter400
Add 2 files
f179f29 verified over 2 years ago
  • images
    Add 2 files over 2 years ago
  • .gitattributes
    2.31 kB
    initial commit over 2 years ago
  • Cem_Ozdemir.safetensors
    228 MB
    xet
    Add 2 files over 2 years ago
  • README.md
    1.22 kB
    initial commit over 2 years ago