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InstantX
/
SD3.5-Large-IP-Adapter

Text-to-Image
Diffusers
English
Text-to-Image
IP-Adapter
StableDiffusion3Pipeline
image-generation
Stable Diffusion
Model card Files Files and versions
xet
Community
16

Instructions to use InstantX/SD3.5-Large-IP-Adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use InstantX/SD3.5-Large-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("InstantX/SD3.5-Large-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
SD3.5-Large-IP-Adapter / models
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  • 1 contributor
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wanghaofan
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  • __init__.py
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  • attention.py
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  • resampler.py
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  • transformer_sd3.py
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