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kimi000
/
ZImage-AnyFlow2-4Step-1000

Text-to-Image
Diffusers
Safetensors
English
ZImageAnyFlow2Pipeline
z-image
anyflow2
distillation
custom-pipeline
Model card Files Files and versions
xet
Community

Instructions to use kimi000/ZImage-AnyFlow2-4Step-1000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use kimi000/ZImage-AnyFlow2-4Step-1000 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("kimi000/ZImage-AnyFlow2-4Step-1000", 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 Settings
  • Draw Things
  • DiffusionBee
ZImage-AnyFlow2-4Step-1000 / vae
168 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
kimi000's picture
kimi000
Publish ZImage AnyFlow2 step-1000 EMA as merged Diffusers pipeline with four-step demo
91627db verified about 19 hours ago
  • config.json
    820 Bytes
    Publish ZImage AnyFlow2 step-1000 EMA as merged Diffusers pipeline with four-step demo about 19 hours ago
  • diffusion_pytorch_model.safetensors
    168 MB
    xet
    Publish ZImage AnyFlow2 step-1000 EMA as merged Diffusers pipeline with four-step demo about 19 hours ago