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Efficient-Large-Model
/
Sana_1600M_1024px_diffusers

Text-to-Image
Sana
Diffusers
Safetensors
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Sana
1024px_based_image_size
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xet
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3

Instructions to use Efficient-Large-Model/Sana_1600M_1024px_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Sana

    How to use Efficient-Large-Model/Sana_1600M_1024px_diffusers with Sana:

    # Load the model and infer image from text
    import torch
    from app.sana_pipeline import SanaPipeline
    from torchvision.utils import save_image
    
    sana = SanaPipeline("configs/sana_config/1024ms/Sana_1600M_img1024.yaml")
    sana.from_pretrained("hf://Efficient-Large-Model/Sana_1600M_1024px_diffusers")
    
    image = sana(
        prompt='a cyberpunk cat with a neon sign that says "Sana"',
        height=1024,
        width=1024,
        guidance_scale=5.0,
        pag_guidance_scale=2.0,
        num_inference_steps=18,
    ) 
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This model doesn't work correctly with the default pipeline

1
#3 opened over 1 year ago by
frutiemax

update scheduler_config.json with FlowDPMSolverMultistepScheduler

#2 opened over 1 year ago by
bghira

update scheduler name

#1 opened over 1 year ago by
bghira
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