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pradhaansbhat
/
Thinking-In-Boxes

Image-to-Image
Diffusers
English
Generative Modeling
Image Editing
Geometric Editing
3D Vision
Model card Files Files and versions
xet
Community

Instructions to use pradhaansbhat/Thinking-In-Boxes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use pradhaansbhat/Thinking-In-Boxes 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("pradhaansbhat/Thinking-In-Boxes", 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
Thinking-In-Boxes
115 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
pradhaansbhat's picture
pradhaansbhat
Upload Thinking-In-Boxes [100K+20K] LoRA for black-forest-labs/FLUX.1-Kontext-dev
3eefc43 verified 2 minutes ago
  • assets
    Upload assets 28 minutes ago
  • .gitattributes
    1.63 kB
    Upload assets 28 minutes ago
  • README.md
    2.84 kB
    Update README.md 16 minutes ago
  • pytorch_lora_weights.safetensors
    112 MB
    xet
    Upload Thinking-In-Boxes [100K+20K] LoRA for black-forest-labs/FLUX.1-Kontext-dev 2 minutes ago