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prithivMLmods
/
Kontext-Bottom-Up-View

Image-to-Image
Transformers
Diffusers
English
text-to-image
lora
template:diffusion-lora
Model card Files Files and versions
xet
Community

Instructions to use prithivMLmods/Kontext-Bottom-Up-View with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use prithivMLmods/Kontext-Bottom-Up-View with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-to-image", model="prithivMLmods/Kontext-Bottom-Up-View")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("prithivMLmods/Kontext-Bottom-Up-View", dtype="auto")
  • Diffusers

    How to use prithivMLmods/Kontext-Bottom-Up-View 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("black-forest-labs/FLUX.1-Kontext-dev", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("prithivMLmods/Kontext-Bottom-Up-View")
    
    prompt = "[photo content], recreate the scene from a bottom-up perspective. Preserve accurate depth, scale, and lighting direction to enhance realism. Ensure the background sky or floor elements adjust naturally to the new angle, maintaining authentic shadowing and perspective."
    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]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
Kontext-Bottom-Up-View
615 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
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