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mikaelh
/
qwen_image.peft-lora.minecraft

Text-to-Image
Diffusers
qwen_image
qwen_image-diffusers
image-to-image
simpletuner
Not-For-All-Audiences
lora
template:sd-lora
standard
Model card Files Files and versions
xet
Community

Instructions to use mikaelh/qwen_image.peft-lora.minecraft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use mikaelh/qwen_image.peft-lora.minecraft with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("mikaelh/qwen_image.peft-lora.minecraft")
    
    prompt = "An domokun in minecraft style."
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
qwen_image.peft-lora.minecraft
73.5 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
mikaelh's picture
mikaelh
Checkpoint at 250 steps
5ee2221 about 1 year ago
  • assets
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  • .gitattributes
    1.56 kB
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  • README.md
    3.26 kB
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  • optimizer.bin
    47.5 MB
    xet
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  • pytorch_lora_weights.safetensors
    23.7 MB
    xet
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  • random_states_0.pkl
    14.8 kB
    xet
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  • scheduler.bin

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    1.4 kB
    xet
    Checkpoint at 250 steps about 1 year ago
  • simpletuner_config.json
    12.1 kB
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  • training_state-dreambooth-1024.json
    661 Bytes
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  • training_state.json
    113 Bytes
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