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limingcv
/
SuperEdit_InstructP2P_SD15_BaseInstructDiffusion

Diffusers
Safetensors
StableDiffusionInstructPix2PixPipeline
Model card Files Files and versions
xet
Community

Instructions to use limingcv/SuperEdit_InstructP2P_SD15_BaseInstructDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use limingcv/SuperEdit_InstructP2P_SD15_BaseInstructDiffusion with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("limingcv/SuperEdit_InstructP2P_SD15_BaseInstructDiffusion", 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
SuperEdit_InstructP2P_SD15_BaseInstructDiffusion / vae
167 MB
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  • 1 contributor
History: 1 commit
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limingcv
Upload folder using huggingface_hub
1ddb9f7 verified about 1 year ago
  • config.json
    846 Bytes
    Upload folder using huggingface_hub about 1 year ago
  • diffusion_pytorch_model.safetensors
    167 MB
    xet
    Upload folder using huggingface_hub about 1 year ago