Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

mm9all
/
Z-Image-Turbo

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

Instructions to use mm9all/Z-Image-Turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use mm9all/Z-Image-Turbo with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("mm9all/Z-Image-Turbo", 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
Z-Image-Turbo / vae
168 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
mm9all's picture
mm9all
Upload vae/diffusion_pytorch_model.safetensors with huggingface_hub
469614d verified 3 months ago
  • config.json
    805 Bytes
    Upload vae/config.json with huggingface_hub 3 months ago
  • diffusion_pytorch_model.safetensors
    168 MB
    xet
    Upload vae/diffusion_pytorch_model.safetensors with huggingface_hub 3 months ago