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WaveCut
/
Cosmos3-Super-Text2Image-SDNQ-Int8-Transformer

Text-to-Image
Diffusers
Safetensors
cosmos3
sdnq
int8
Model card Files Files and versions
xet
Community

Instructions to use WaveCut/Cosmos3-Super-Text2Image-SDNQ-Int8-Transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use WaveCut/Cosmos3-Super-Text2Image-SDNQ-Int8-Transformer with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("WaveCut/Cosmos3-Super-Text2Image-SDNQ-Int8-Transformer", 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
Cosmos3-Super-Text2Image-SDNQ-Int8-Transformer / examples
18.9 MB
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  • 1 contributor
History: 1 commit
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WaveCut
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  • 01_metro_archive_reading_room_sdnq_int8.png
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  • 02_arctic_greenhouse_night_shift_sdnq_int8.png
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  • 03_control_room_restoration_sdnq_int8.png
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  • 04_rain_market_cross_section_sdnq_int8.png
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  • 05_manuscript_restoration_table_sdnq_int8.png
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  • 06_robotic_assembly_line_signage_sdnq_int8.png
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  • 07_kitchen_storm_chess_table_sdnq_int8.png
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  • 08_orbital_cockpit_cyrillic_ui_sdnq_int8.png
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  • 09_flood_command_center_sdnq_int8.png
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  • 10_cyrillic_newspaper_press_sdnq_int8.png
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  • nvidia_example_caption_bf16.png
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  • nvidia_example_caption_sdnq_int8.png
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