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soiz1
/
hololive-diffusion

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Diffusers
English
flux
lora
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xet
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Instructions to use soiz1/hololive-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use soiz1/hololive-diffusion 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("soiz1/hololive-diffusion")
    
    prompt = "sks"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
hololive-diffusion
5.32 GB
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  • 1 contributor
History: 12 commits
soiz1's picture
soiz1
Upload HoloEnV2.safetensors
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  • HoloEnV2.safetensors
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  • README.md
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  • demo.png
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  • hololive_epoch_4.ckpt

    Detected Pickle imports (4)

    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.LongStorage",
    • "torch.FloatStorage"

    What is a pickle import?

    5.16 GB
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  • hololive_wd15.yaml
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