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openfree
/
van-gogh

Text-to-Image
Diffusers
flux
lora
template:sd-lora
ai-toolkit
Model card Files Files and versions
xet
Community
1

Instructions to use openfree/van-gogh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use openfree/van-gogh 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("openfree/van-gogh")
    
    prompt = "a self-portrait of Vincent van Gogh, painted by the renowned artist himself. The painting is composed of a variety of colors, including blues, greens, yellows, and reds, creating a vibrant and lively atmosphere. The man in the painting has a serious expression on his face, and his eyes are focused intently on something in the distance. His hair is dark and his beard is full and well-groomed. He is wearing a white shirt and a dark coat, and the background is a mix of blues and greens. [trigger]"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
van-gogh / samples
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