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MyneFactory
/
MF-KonoSuba

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

Instructions to use MyneFactory/MF-KonoSuba with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use MyneFactory/MF-KonoSuba with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("MyneFactory/MF-KonoSuba", 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
MF-KonoSuba / Training data
Ctrl+K
Ctrl+K
  • 5 contributors
History: 4 commits
Juusoz
T2.11 training data
54e7dc5 over 3 years ago
  • T2.11 KonoSuba prompt list.txt
    5.97 kB
    T2.11 training data over 3 years ago
  • T2.11 KonoSuba prompted.rar
    2.83 GB
    xet
    T2.11 training data over 3 years ago
  • T2.8 KonoSuba prompt list.txt
    5.41 kB
    Update Training data/T2.8 KonoSuba prompt list.txt over 3 years ago
  • T2.8 KonoSuba prompted.rar
    2.76 GB
    xet
    T2.8 training data over 3 years ago