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DevonIT
/
hyd7150mdl

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

Instructions to use DevonIT/hyd7150mdl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use DevonIT/hyd7150mdl 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("DevonIT/hyd7150mdl")
    
    prompt = "A HYUNDAI HYD-7150 (hyd7150mdl) model."
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
hyd7150mdl
252 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
DevonIT's picture
DevonIT
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  • sample
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  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    1.23 kB
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  • dataset.toml
    262 Bytes
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  • hyd7150mdl.safetensors
    39.8 MB
    xet
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  • sample_prompts.txt
    298 Bytes
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  • train.sh
    1.25 kB
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