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GazTrab
/
3drenec

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

Instructions to use GazTrab/3drenec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use GazTrab/3drenec 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("GazTrab/3drenec")
    
    prompt = "3D illustration in the style of <s0><s1>, depicting a sleek, modern workspace with the <s0><s1> logo intricately woven into the design of a futuristic computer interface. The desk is vibrant teal, matching the logo hue, surrounded by angular, geometric shapes that echo the <s0><s1> brand aesthetic. Above the workspace, holographic screens display interactive graphs and data analytics, subtly incorporating the <s0><s1> logo. The scene is enhanced by soft, ambient light, emphasizing cutting-edge technology and innovation."
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
3drenec
97.8 MB
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  • 1 contributor
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