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leafmoone
/
RUM-FLUX.2-klein-4B-ConvRot-Quantized

Image-to-Image
Diffusers
flux
quantization
convrot
int8
int4
Model card Files Files and versions
xet
Community

Instructions to use leafmoone/RUM-FLUX.2-klein-4B-ConvRot-Quantized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use leafmoone/RUM-FLUX.2-klein-4B-ConvRot-Quantized 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("leafmoone/RUM-FLUX.2-klein-4B-ConvRot-Quantized", torch_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
RUM-FLUX.2-klein-4B-ConvRot-Quantized / benchmarks
3.52 kB
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  • 1 contributor
History: 1 commit
leafmoone's picture
leafmoone
Add offloaded inference benchmarks
2f284cf verified 4 days ago
  • offload_int4_hybrid_t2i.json
    1.76 kB
    Add offloaded inference benchmarks 4 days ago
  • offload_int8_t2i.json
    1.75 kB
    Add offloaded inference benchmarks 4 days ago