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qihoo360
/
NAMI-T2I

Text-to-Image
Diffusers
Safetensors
English
Model card Files Files and versions
xet
Community

Instructions to use qihoo360/NAMI-T2I with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use qihoo360/NAMI-T2I with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("qihoo360/NAMI-T2I", 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
  • Draw Things
  • DiffusionBee
NAMI-T2I
8.65 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 7 commits
mayuhang
upload transformer model weights
3789994 2 months ago
  • transformer
    upload transformer model weights 2 months ago
  • vae
    Upload 3 files 3 months ago
  • .gitattributes
    1.57 kB
    Upload examples.png 3 months ago
  • README.md
    1.29 kB
    Update README.md 3 months ago
  • bridge_flow.bin

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    1.31 MB
    xet
    Upload 3 files 3 months ago
  • examples.png
    6.31 MB
    xet
    Upload examples.png 3 months ago