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Sap27
/
lora-sd3dreambooth-checkpoints

Text-to-Image
Diffusers
diffusers-training
lora
template:sd-lora
sd3
sd3-diffusers
Model card Files Files and versions
xet
Community

Instructions to use Sap27/lora-sd3dreambooth-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Sap27/lora-sd3dreambooth-checkpoints with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3-medium-diffusers", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("Sap27/lora-sd3dreambooth-checkpoints")
    
    prompt = "Ranveer Singh from Bajirao Mastani"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
lora-sd3dreambooth-checkpoints / checkpoint-600 /pytorch_model
16.5 GB
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  • 1 contributor
History: 1 commit
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Sap27
Upload folder using huggingface_hub
cc9c6e3 verified over 1 year ago
  • mp_rank_00_model_states.pt
    16.5 GB
    xet
    Upload folder using huggingface_hub over 1 year ago
  • zero_pp_rank_0_mp_rank_00_optim_states.pt
    28.2 MB
    xet
    Upload folder using huggingface_hub over 1 year ago