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victan
/
vicode_model_refiner

Image-to-Image
Diffusers
Safetensors
StableDiffusionXLImg2ImgPipeline
stable-diffusion
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use victan/vicode_model_refiner with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    from diffusers.utils import load_image
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("victan/vicode_model_refiner", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Turn this cat into a dog"
    input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
    
    image = pipe(image=input_image, prompt=prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
vicode_model_refiner / vae
502 MB
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  • 1 contributor
History: 1 commit
victan's picture
victan
Upload folder using huggingface_hub
db5794d over 2 years ago
  • config.json
    642 Bytes
    Upload folder using huggingface_hub over 2 years ago
  • diffusion_pytorch_model.fp16.safetensors
    167 MB
    xet
    Upload folder using huggingface_hub over 2 years ago
  • diffusion_pytorch_model.safetensors
    335 MB
    xet
    Upload folder using huggingface_hub over 2 years ago