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AIARTCHAN
/
AbyssMapleVer3

Text-to-Image
Diffusers
StableDiffusionPipeline
stable-diffusion
aiartchan
Model card Files Files and versions
xet
Community
1

Instructions to use AIARTCHAN/AbyssMapleVer3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use AIARTCHAN/AbyssMapleVer3 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("AIARTCHAN/AbyssMapleVer3", 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
AbyssMapleVer3
10.7 GB
Ctrl+K
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  • 2 contributors
History: 5 commits
Bingsu's picture
Bingsu
Update README.md
1a37a48 over 2 years ago
  • feature_extractor
    Upload with huggingface_hub about 3 years ago
  • scheduler
    Upload with huggingface_hub about 3 years ago
  • text_encoder
    Upload with huggingface_hub about 3 years ago
  • tokenizer
    Upload with huggingface_hub about 3 years ago
  • unet
    Upload with huggingface_hub about 3 years ago
  • vae
    Upload with huggingface_hub about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • AbyssMapleVer3-fp16.safetensors
    2.13 GB
    xet
    Upload with huggingface_hub about 3 years ago
  • AbyssMapleVer3-no-ema.safetensors
    4.27 GB
    xet
    Upload with huggingface_hub about 3 years ago
  • README.md
    1.28 kB
    Update README.md over 2 years ago
  • model_index.json
    553 Bytes
    Upload with huggingface_hub about 3 years ago