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LenSch
/
caching_only

Text-to-Image
Diffusers
Safetensors
Pruna AI
English
FluxPipeline
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use LenSch/caching_only with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("LenSch/caching_only", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Pruna AI

    How to use LenSch/caching_only with Pruna AI:

    from pruna import PrunaModel
    pip install -U diffusers transformers accelerate
    from pruna import PrunaModel
    import torch
    # switch to "mps" for apple devices
    pipe = PrunaModel.from_pretrained("LenSch/caching_only", 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
caching_only
33.7 GB
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  • 1 contributor
History: 2 commits
LenSch's picture
LenSch
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af4524a verified 6 months ago
  • scheduler
    Add files using upload-large-folder tool 6 months ago
  • text_encoder
    Add files using upload-large-folder tool 6 months ago
  • text_encoder_2
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  • tokenizer
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  • tokenizer_2
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  • transformer
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  • vae
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  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • README.md
    2.86 kB
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  • dtype_info.json
    21 Bytes
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  • model_index.json
    676 Bytes
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  • smash_config.json
    603 Bytes
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