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tencent
/
Hy-Nomas

Diffusers
Safetensors
PyTorch
hy-nomas
world-model
video-generation
interactive-video-generation
camera-control
autoregressive
diffusion-transformer
Model card Files Files and versions
xet
Community
1

Instructions to use tencent/Hy-Nomas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use tencent/Hy-Nomas with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("tencent/Hy-Nomas", 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
Hy-Nomas / examples
1.1 kB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 1 commit
weizhiwang's picture
weizhiwang
TencentOpen's picture
TencentOpen
Initial commit
dea9480 1 day ago
  • prompts.json
    1.1 kB
    Initial commit 1 day ago