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12ss33
/
8MP

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

Instructions to use 12ss33/8MP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use 12ss33/8MP 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("12ss33/8MP")
    
    prompt = "a photo of signal heat map"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
8MP
9.51 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
12ss33's picture
12ss33
End of training
220900c verified 4 months ago
  • checkpoint-1000
    End of training 4 months ago
  • checkpoint-1500
    End of training 4 months ago
  • checkpoint-2000
    End of training 4 months ago
  • checkpoint-2500
    End of training 4 months ago
  • checkpoint-3000
    End of training 4 months ago
  • checkpoint-500
    End of training 4 months ago
  • .gitattributes
    1.71 kB
    End of training 4 months ago
  • README.md
    2.39 kB
    End of training 4 months ago
  • image_0.png
    742 kB
    xet
    End of training 4 months ago
  • image_1.png
    733 kB
    xet
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  • image_2.png
    784 kB
    xet
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  • image_3.png
    764 kB
    xet
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  • pytorch_lora_weights.safetensors
    344 MB
    xet
    End of training 4 months ago