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recoilme
/
agat

Text-to-Image
Diffusers
Safetensors
AgatPipeline
flow-matching
agate
ettin
4x-vae
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use recoilme/agat with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("recoilme/agat", 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
agat / text_encoder
276 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
recoilme's picture
recoilme
agat: Agate 003 + 4x/4ch VAE, 71.5k steps
f20dac2 verified 21 days ago
  • config.json
    1.3 kB
    agat: Agate 003 + 4x/4ch VAE, 71.5k steps 21 days ago
  • model.safetensors
    273 MB
    xet
    agat: Agate 003 + 4x/4ch VAE, 71.5k steps 21 days ago
  • special_tokens_map.json
    731 Bytes
    agat: Agate 003 + 4x/4ch VAE, 71.5k steps 21 days ago
  • tokenizer.json
    3.58 MB
    agat: Agate 003 + 4x/4ch VAE, 71.5k steps 21 days ago
  • tokenizer_config.json
    21.8 kB
    agat: Agate 003 + 4x/4ch VAE, 71.5k steps 21 days ago