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mcante
/
marcio-4p

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

Instructions to use mcante/marcio-4p with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use mcante/marcio-4p 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("mcante/marcio-4p")
    
    prompt = "MARCIO in a chair dressed like a king like in medieval times"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
marcio-4p
161 MB
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  • 1 contributor
History: 2 commits
mcante's picture
mcante
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  • sample
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  • .gitattributes
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  • README.md
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  • dataset.toml
    255 Bytes
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  • marcio-4p-000004.safetensors
    39.8 MB
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  • marcio-4p-000008.safetensors
    39.8 MB
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  • marcio-4p-000012.safetensors
    39.8 MB
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  • marcio-4p.safetensors
    39.8 MB
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  • sample_prompts.txt
    60 Bytes
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  • train.sh
    1.25 kB
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