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app-stable-diffusion-onnx-py

Automatically generated README for this automation recipe: app-stable-diffusion-onnx-py

Category: Modular AI/ML application pipeline

License: Apache 2.0

  • Notes from the authors, contributors and users: README-extra

  • CM meta description for this script: _cm.yaml

  • Output cached? False

Reuse this script in your project

Install MLCommons CM automation meta-framework

Pull CM repository with this automation recipe (CM script)

cm pull repo mlcommons@cm4mlops

cmr "modular python app stable-diffusion onnx" --help

Run this script

Run this script via CLI
cm run script --tags=modular,python,app,stable-diffusion,onnx[,variations] [--input_flags]
Run this script via CLI (alternative)
cmr "modular python app stable-diffusion onnx [variations]" [--input_flags]
Run this script from Python
import cmind

r = cmind.access({'action':'run'
              'automation':'script',
              'tags':'modular,python,app,stable-diffusion,onnx'
              'out':'con',
              ...
              (other input keys for this script)
              ...
             })

if r['return']>0:
    print (r['error'])
Run this script via Docker (beta)
cm docker script "modular python app stable-diffusion onnx[variations]" [--input_flags]

Variations

  • Group "target"

    Click here to expand this section.

    • _cpu (default)
      • ENV variables:
        • USE_CPU: True
        • CM_DEVICE: cpu
    • _cuda
      • ENV variables:
        • USE_CUDA: True
        • CM_DEVICE: cuda:0
Default variations

_cpu

Input Flags

  • --text: Text to generate image
  • --output: Output directory

Script flags mapped to environment

  • --output=value → CM_APP_STABLE_DIFFUSION_ONNX_PY_OUTPUT=value
  • --text=value → CM_APP_STABLE_DIFFUSION_ONNX_PY_TEXT=value

Native script being run

Script output

cmr "modular python app stable-diffusion onnx [variations]" [--input_flags] -j