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akrao9
/
Linarix-v1

Text-to-Image
Diffusers
Safetensors
PyTorch
English
BoomerPipeline
diffusion
linear-attention
gated-deltanet
Model card Files Files and versions
xet
Community

Instructions to use akrao9/Linarix-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use akrao9/Linarix-v1 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("akrao9/Linarix-v1", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee

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Gated model
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  • STORK_constants
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  • transformer
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  • .gitattributes
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  • LICENSE
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  • README.md
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  • STORKScheduler.py
    76.4 kB
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  • model_index.json
    141 Bytes
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  • modeling_boomer_fla.py
    56.3 kB
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  • pipeline_boomer.py
    19.6 kB
    VAE slicing for batched inference; CFG default 4.0 8 days ago