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cctuan
/
ygyg-wed

Text-to-Image
Diffusers
Trained with AutoTrain
spacerunner
flux
lora
template:sd-lora
Model card Files Files and versions
xet
Community

Instructions to use cctuan/ygyg-wed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use cctuan/ygyg-wed with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("cctuan/ygyg-wed")
    
    prompt = "A romantic newlywed couple in elegant wedding attire, standing on a picturesque beach at sunset. The bride wears a flowing white gown, and the groom is in a classic black tuxedo. Soft golden light illuminates their faces as they gaze lovingly into each other's eyes. Gentle waves and a colorful sky in the background w3gyy"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
ygyg-wed
172 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
cctuan's picture
cctuan
Update metadata with huggingface_hub
ab5f2ee verified about 2 years ago
  • samples
    Upload folder using huggingface_hub about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    2.9 kB
    Update metadata with huggingface_hub about 2 years ago
  • ygyg-wed.safetensors
    172 MB
    xet
    Upload folder using huggingface_hub about 2 years ago