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TheMindExpansionNetwork
/
m1ndw4lk

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

Instructions to use TheMindExpansionNetwork/m1ndw4lk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use TheMindExpansionNetwork/m1ndw4lk 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("TheMindExpansionNetwork/m1ndw4lk")
    
    prompt = "\"Imagine a serene winter landscape bathed in soft, diffused light, where crystalline trees shimmer with frost under a pearlescent sky. A vibrant village glows warmly against the expanse of snow-covered hills, creating a tranquil scene of stillness and cozy warmth, emblematic of m1ndw4lk serenity.\""
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
m1ndw4lk
179 MB
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  • 1 contributor
History: 2 commits
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TheMindExpansionNetwork
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  • sample
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  • .gitattributes
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  • README.md
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  • dataset.toml
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  • m1ndw4lk-000004.safetensors
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  • m1ndw4lk-000008.safetensors
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  • m1ndw4lk-000012.safetensors
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  • m1ndw4lk.safetensors
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  • sample_prompts.txt
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  • train.sh
    1.4 kB
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