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yur1xfd
/
a3d_lora

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

Instructions to use yur1xfd/a3d_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use yur1xfd/a3d_lora with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("ckpt/In-Context-LoRA", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("yur1xfd/a3d_lora")
    
    prompt = "This is a four-panel image which illustrates a pair of geometrically aligned objects in front and back side views. The [TOP-LEFT] shows a <cat animal> from the front side view. The [TOP-RIGHT] shows the same <cat animal> from the back side view. The [BOTTOM-LEFT] shows a <dog animal> from the front side view. The [BOTTOM-RIGHT] shows the same <dog animal> from the front side view."
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
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  • DiffusionBee
a3d_lora
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  • 1 contributor
History: 3 commits
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yur1xfd
Upload a3d_lora_v3_000004000.safetensors
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  • a3d_lora_v2.safetensors
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    xet
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  • a3d_lora_v3_000004000.safetensors
    172 MB
    xet
    Upload a3d_lora_v3_000004000.safetensors 12 months ago