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ai-forever
/
kandinsky3_ip_adapter

Text-to-Image
Diffusers
Safetensors
KandinskyV3Pipeline
kandinsky
Model card Files Files and versions
xet
Community

Instructions to use ai-forever/kandinsky3_ip_adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use ai-forever/kandinsky3_ip_adapter with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("ai-forever/kandinsky3_ip_adapter", 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
kandinsky3_ip_adapter / image_encoder
2.43 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
ai-forever's picture
ai-forever
Upload image_encoder/pytorch_model.bin with huggingface_hub
0064ce7 verified about 2 years ago
  • config.json
    574 Bytes
    Upload image_encoder/config.json with huggingface_hub about 2 years ago
  • model.safetensors
    1.22 GB
    xet
    Upload image_encoder/model.safetensors with huggingface_hub about 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.22 GB
    xet
    Upload image_encoder/pytorch_model.bin with huggingface_hub about 2 years ago