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BiliSakura
/
AeroGen

Text-to-Image
Diffusers
Safetensors
English
AeroGenPipeline
aerogen
remote-sensing
object-detection
latent-diffusion
bounding-box
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use BiliSakura/AeroGen with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("BiliSakura/AeroGen", 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
AeroGen / text_encoder
492 MB
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  • 1 contributor
History: 1 commit
BiliSakura's picture
BiliSakura
Add files using upload-large-folder tool
d295ca1 verified 2 months ago
  • __init__.py
    128 Bytes
    Add files using upload-large-folder tool 2 months ago
  • clip_text_encoder.py
    1.48 kB
    Add files using upload-large-folder tool 2 months ago
  • config.json
    137 Bytes
    Add files using upload-large-folder tool 2 months ago
  • diffusion_pytorch_model.safetensors
    492 MB
    xet
    Add files using upload-large-folder tool 2 months ago