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Lo-Fi-gahara
/
FlowMatchingModel-checkpoints

Diffusers
Safetensors
Model card Files Files and versions
xet
Community

Instructions to use Lo-Fi-gahara/FlowMatchingModel-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Lo-Fi-gahara/FlowMatchingModel-checkpoints with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Lo-Fi-gahara/FlowMatchingModel-checkpoints", 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
FlowMatchingModel-checkpoints / t5-v1_1-small
925 MB
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  • 1 contributor
History: 1 commit
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Lo-Fi-gahara
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  • .gitattributes
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  • README.md
    2.68 kB
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  • config.json
    537 Bytes
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  • flax_model.msgpack
    308 MB
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  • generation_config.json
    147 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    308 MB
    xet
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  • special_tokens_map.json
    1.79 kB
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  • spiece.model
    792 kB
    xet
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  • tf_model.h5
    308 MB
    xet
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  • tokenizer_config.json
    1.86 kB
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