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Ananthusajeev190
/
Jarvin

Diffusers
TensorBoard
Safetensors
English
gpt2
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use Ananthusajeev190/Jarvin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Ananthusajeev190/Jarvin with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Ananthusajeev190/Jarvin", 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
Jarvin
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  • 1 contributor
History: 7 commits
Ananthusajeev190's picture
Ananthusajeev190
Update README.md
1ae11b6 verified 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • README.md
    181 Bytes
    Update README.md 4 months ago
  • added_tokens.json
    58 Bytes
    Upload 8 files 5 months ago
  • config.json
    758 Bytes
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  • events.out.tfevents.1768454471.35feb8b3f881.217.4
    5.09 kB
    xet
    Upload 8 files 5 months ago
  • generation_config.json
    119 Bytes
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  • merges.txt
    456 kB
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  • model.safetensors
    64.6 MB
    xet
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  • special_tokens_map.json
    892 Bytes
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  • tokenizer_config.json
    1.13 kB
    Upload 8 files 5 months ago
  • vocab.json
    999 kB
    Upload 8 files 5 months ago