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Duplicated from  SG161222/Realistic_Vision_V6.0_B1_noVAE

amayprro552
/
customModelsFID_tasczcimp

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

Instructions to use amayprro552/customModelsFID_tasczcimp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use amayprro552/customModelsFID_tasczcimp with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("amayprro552/customModelsFID_tasczcimp", 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
customModelsFID_tasczcimp
4.27 GB
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  • 2 contributors
History: 16 commits
amayprro552's picture
amayprro552
Delete 00014-2888372065.png
990a877 verified over 2 years ago
  • feature_extractor
    Duplicate from SG161222/Realistic_Vision_V6.0_B1_noVAE over 2 years ago
  • scheduler
    Upload scheduler_config.json over 2 years ago
  • text_encoder
    Upload 2 files over 2 years ago
  • tokenizer
    Upload 4 files over 2 years ago
  • unet
    Upload 2 files over 2 years ago
  • vae
    Upload 2 files over 2 years ago
  • .gitattributes
    1.58 kB
    Upload 00014-2888372065.png over 2 years ago
  • README.md
    2.84 kB
    Duplicate from SG161222/Realistic_Vision_V6.0_B1_noVAE over 2 years ago
  • model_index.json
    589 Bytes
    Upload model_index.json over 2 years ago