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

  • Log In
  • Sign Up

telcom
/
dee-z-image

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

Instructions to use telcom/dee-z-image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use telcom/dee-z-image with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("telcom/dee-z-image", 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
dee-z-image
Ctrl+K
Ctrl+K
  • 2 contributors
History: 6 commits
Javad Taghia
Add microscope config-only inspector
9ed2e4d 5 months ago
  • assets
    init 5 months ago
  • microscope
    Add microscope config-only inspector 5 months ago
  • scheduler
    init 5 months ago
  • text_encoder
    init 5 months ago
  • tokenizer
    init 5 months ago
  • transformer
    init 5 months ago
  • vae
    init 5 months ago
  • .gitattributes
    1.81 kB
    Track image assets with Git LFS 5 months ago
  • .gitignore
    72 Bytes
    Add microscope config-only inspector 5 months ago
  • README.md
    2.15 kB
    Update model card 5 months ago
  • model_index.json
    467 Bytes
    init 5 months ago