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atMrMattV
/
Visione

Text-to-Image
Diffusers
ONNX
Safetensors
GGUF
English
art
agent
image-generation
video-generation
text-to-video
style-transfer
image-editing
tts
local-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use atMrMattV/Visione with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("atMrMattV/Visione", 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
Visione / models /ace-step
26.9 GB
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  • 1 contributor
History: 5 commits
atMrMattV's picture
atMrMattV
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  • acestep-v15-base
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  • .gitattributes
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  • README.md
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  • config.json
    1.97 kB
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