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

  • Log In
  • Sign Up

zai-org
/
CogView3-Plus-3B

Text-to-Image
Diffusers
Safetensors
English
CogView3PlusPipeline
image-generation
cogview
Model card Files Files and versions
xet
Community
4

Instructions to use zai-org/CogView3-Plus-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use zai-org/CogView3-Plus-3B with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("zai-org/CogView3-Plus-3B", 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
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

test

#4 opened 9 months ago by
yanchen3

Use `bfloat16` in the example

#3 opened over 1 year ago by deleted

how to solve this error : invalid value encountered in cast images = (images * 255).round().astype("uint8")

1
#2 opened over 1 year ago by
feng1022
Company
TOS Privacy About Careers
Website
Models Datasets Spaces Pricing Docs