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ThatDustyGuy
/
FLUX.2-DEV-DLAY-LyCORIS

Text-to-Image
Diffusers
Safetensors
flux2
flux2-diffusers
image-to-image
lora
template:sd-lora
lycoris
Flux.2-dev
Model card Files Files and versions
xet
Community

Instructions to use ThatDustyGuy/FLUX.2-DEV-DLAY-LyCORIS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use ThatDustyGuy/FLUX.2-DEV-DLAY-LyCORIS 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.2-dev", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("ThatDustyGuy/FLUX.2-DEV-DLAY-LyCORIS")
    
    prompt = "DLAY man in a professional studio portrait with soft lighting, high quality photography, sharp focus"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
FLUX.2-DEV-DLAY-LyCORIS / FLUX.2-DEV-DLAY-Persona-native-efficient-debug-5step
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  • 1 contributor
History: 3 commits
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ThatDustyGuy
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  • assets
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  • validation_images
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  • README.md
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  • all_image_files_dlay-subject-data.json
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  • all_text_cache_files_flux2-text-embeds.json
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  • all_vae_cache_files_dlay-subject-data.json
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  • lycoris_config.json
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  • pytorch_lora_weights.safetensors
    444 MB
    xet
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  • simpletuner_config.json
    17.9 kB
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