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dzungpham
/
font-architect

Image-to-Image
Diffusers
Safetensors
English
font-diffusion
contrastive-learning
font-generation
character-synthesis
style-transfer
dpm-solver
Model card Files Files and versions
xet
Community
1

Instructions to use dzungpham/font-architect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use dzungpham/font-architect with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    from diffusers.utils import load_image
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("dzungpham/font-architect", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Turn this cat into a dog"
    input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
    
    image = pipe(image=input_image, prompt=prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
font-architect / FST
4.46 GB
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  • 1 contributor
History: 9 commits
dzungpham's picture
dzungpham
Delete FST/logs
94355cd verified 4 months ago
  • checkpoint_step_1500
    FST training for 500, 1000 and 1500 steps phase 1 with consistency loss, no identity loss 4 months ago
  • checkpoint_step_250
    FST training for 250, 500 steps on pretrained weights of fontdiffuser 4 months ago
  • checkpoint_step_500
    FST training for 250, 500 steps on pretrained weights of fontdiffuser 4 months ago
  • FontDiffuserFST_training_phase_1_config.yaml
    2.95 kB
    FST training for 250, 500 steps on pretrained weights of fontdiffuser 4 months ago