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TensorFamily
/
SigmaJourney

Text-to-Image
Diffusers
Safetensors
PixArtSigmaPipeline
stable-diffusion
stable-diffusion-diffusers
full
pixart
pixart sigma
Model card Files Files and versions
xet
Community
2

Instructions to use TensorFamily/SigmaJourney with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use TensorFamily/SigmaJourney with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("TensorFamily/SigmaJourney", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "A blonde sexy girl, wearing glasses at latex shirt and a blue beanie with a tattoo, blue and white, highly detailed, sublime, extremely beautiful, sharp focus, refined, cinematic, intricate, elegant, dynamic, rich deep colors, bright color, shining light, attractive, cute, pretty, background full, epic composition, dramatic atmosphere, radiant, professional, stunning"
    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

Does it support Controlnet and IP adapter

#2 opened almost 2 years ago by
michaelj

What is the memory requirement or compute required to use pixart-training?

1
#1 opened almost 2 years ago by
NunyaBuzor
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