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quasar529
/
ft-sd15-human_largebath

Text-to-Image
Diffusers
stable-diffusion
stable-diffusion-diffusers
lora
Model card Files Files and versions
xet
Community

Instructions to use quasar529/ft-sd15-human_largebath with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use quasar529/ft-sd15-human_largebath with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("quasar529/ft-sd15-human_largebath")
    
    prompt = "((Best quality)), ((masterpiece)), ((realistic)) photo of a person. The photo will be taken with soft, even lighting in an indoor setting. The style will focus on realism, using digital photography as the medium. The artwork will capture the subject in a professional attire. The color scheme will consist of neutral tones, creating a refined and polished appearance."
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
ft-sd15-human_largebath / checkpoint-75
14.8 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
BumJun KIM
End of training
6cbf6eb about 3 years ago
  • optimizer.bin
    6.64 MB
    xet
    End of training about 3 years ago
  • pytorch_lora_weights.bin
    8.16 MB
    xet
    End of training about 3 years ago
  • random_states_0.pkl
    14.7 kB
    xet
    End of training about 3 years ago
  • scheduler.bin

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    563 Bytes
    xet
    End of training about 3 years ago