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kding1
/
dicoo_model_ddp

Text-to-Image
Diffusers
StableDiffusionPipeline
Model card Files Files and versions
xet
Community
1

Instructions to use kding1/dicoo_model_ddp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use kding1/dicoo_model_ddp with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("kding1/dicoo_model_ddp", 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
dicoo_model_ddp
2.46 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
Ke Ding
End of training
3126348 over 3 years ago
  • feature_extractor
    End of training over 3 years ago
  • scheduler
    End of training over 3 years ago
  • text_encoder
    End of training over 3 years ago
  • tokenizer
    End of training over 3 years ago
  • unet
    End of training over 3 years ago
  • vae
    End of training over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • .gitignore
    15 Bytes
    End of training over 3 years ago
  • learned_embeds.bin

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.BFloat16Storage"

    What is a pickle import?

    75.9 MB
    xet
    End of training over 3 years ago
  • model_index.json
    537 Bytes
    End of training over 3 years ago