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stable_diffusion.openvino Requirements Install requirements Generate
image from text description Example Acknowledgements Disclaimer

README.md

 stable_diffusion.openvino

Implementation of Text-To-Image generation using Stable Diffusion on
Intel CPU.

                               [title]

 Requirements

  * Linux, Windows, MacOS
  * Python 3.8.+
  * CPU compatible with OpenVINO.

 Install requirements

pip install -r requirements.txt

 Generate image from text description

usage: stable_diffusion.py [-h] [--models-cfg MODELS_CFG] [--beta-start BETA_START] [--beta-end BETA_END] [--beta-schedule BETA_SCHEDULE] [--num-inference-steps NUM_INFERENCE_STEPS]
                           [--guidance-scale GUIDANCE_SCALE] [--eta ETA] [--tokenizer TOKENIZER] [--prompt PROMPT] [--output OUTPUT]

optional arguments:
  -h, --help            show this help message and exit
  --models-cfg MODELS_CFG
                        path to models config
  --beta-start BETA_START
                        LMSDiscreteScheduler::beta_start
  --beta-end BETA_END   LMSDiscreteScheduler::beta_end
  --beta-schedule BETA_SCHEDULE
                        LMSDiscreteScheduler::beta_schedule
  --num-inference-steps NUM_INFERENCE_STEPS
                        num inference steps
  --guidance-scale GUIDANCE_SCALE
                        guidance scale
  --eta ETA             eta
  --tokenizer TOKENIZER
                        tokenizer
  --prompt PROMPT       prompt
  --output OUTPUT       output image name

 Example

python stable_diffusion.py --prompt "Street-art painting of Emilia Clarke in style of Banksy, photorealism"

 Acknowledgements

  * Original implementation of Stable Diffusion: https://github.com/
    CompVis/stable-diffusion
  * diffusers library: https://github.com/huggingface/diffusers

 Disclaimer

The authors are not responsible for the content generated using this
project. Please, don't use this project to produce illegal, harmful,
offensive etc. content.

About

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License

Apache-2.0 license

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Contributors 2

  * @bes-dev bes-dev Sergei Belousov
  * @amrrs amrrs amrrs

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  * Python 100.0%

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