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mingyu-oo
/
FLUX_HD_LoRA_model

Text-to-Image
Diffusers
Safetensors
FluxKontextPipeline
Model card Files Files and versions
xet
Community

Instructions to use mingyu-oo/FLUX_HD_LoRA_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use mingyu-oo/FLUX_HD_LoRA_model with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("mingyu-oo/FLUX_HD_LoRA_model", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
FLUX_HD_LoRA_model / tokenizer_2
3.24 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
mingyu-oo's picture
mingyu-oo
Upload FLUX.1-Kontext-dev fused with LoRA (0.5 scale)
75a42bc verified 8 months ago
  • special_tokens_map.json
    2.54 kB
    Upload FLUX.1-Kontext-dev fused with LoRA (0.5 scale) 8 months ago
  • spiece.model
    792 kB
    xet
    Upload FLUX.1-Kontext-dev fused with LoRA (0.5 scale) 8 months ago
  • tokenizer.json
    2.42 MB
    Upload FLUX.1-Kontext-dev fused with LoRA (0.5 scale) 8 months ago
  • tokenizer_config.json
    20.8 kB
    Upload FLUX.1-Kontext-dev fused with LoRA (0.5 scale) 8 months ago