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tonera
/
oneObsession_v19

Text-to-Image
Diffusers
Safetensors
StableDiffusionXLPipeline
sdxl
quantization
svdquant
nunchaku
fp4
int4
Model card Files Files and versions
xet
Community

Instructions to use tonera/oneObsession_v19 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use tonera/oneObsession_v19 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("tonera/oneObsession_v19", 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
oneObsession_v19
12.1 GB
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  • 1 contributor
History: 2 commits
tonera's picture
tonera
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b81e8fb verified 4 months ago
  • scheduler
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  • text_encoder
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  • text_encoder_2
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  • tokenizer
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  • tokenizer_2
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  • unet
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  • vae
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  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    4.98 kB
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  • README_CN.md
    4.76 kB
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  • model_index.json
    676 Bytes
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  • svdq-fp4_r32-oneObsession_v19.safetensors
    2.62 GB
    xet
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  • svdq-int4_r32-oneObsession_v19.safetensors
    2.56 GB
    xet
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