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ttthea
/
FashionConT

Text-to-Image
Diffusers
StableDiffusionPipeline
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use ttthea/FashionConT with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("ttthea/FashionConT", 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
FashionConT
8.53 GB
Ctrl+K
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  • 1 contributor
History: 3 commits
ttthea's picture
ttthea
Upload 16 files
52dfe3b about 3 years ago
  • feature_extractor
    Upload 16 files about 3 years ago
  • samples
    Upload 16 files about 3 years ago
  • scheduler
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  • text_encoder
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  • tokenizer
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  • unet
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  • vae
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  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • args.json
    5.46 kB
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  • model.ckpt

    Detected Pickle imports (4)

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

    What is a pickle import?

    4.27 GB
    xet
    Upload 3 files about 3 years ago
  • model_index.json
    544 Bytes
    Upload 3 files about 3 years ago