Image2Image with AMD hardware?

This page summarizes the projects mentioned and recommended in the original post on /r/StableDiffusion

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  • AITemplate

    AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.

  • Facebook AITemplate has an img2img example for AMD, but I haven't been able to get it working yet: https://github.com/facebookincubator/AITemplate/tree/main/examples/05_stable_diffusion

  • stable-diffusion-tensorflow

    Stable Diffusion in TensorFlow / Keras

  • # clone git clone https://github.com/divamgupta/stable-diffusion-tensorflow.git cd stable-diffusion-tensorflow # create venv python -m venv --prompt sdtf-windows-directml venv venv\Scripts\activate # verify venv is installed and activated pip --version # install deps pip install -r requirements.txt pip install tensorflow-directml-plugin # you should see DML debug output and at least one GPU python -c 'import tensorflow as tf; print(tf.config.list_physical_devices())' # run (show help) python text2image.py --help python text2image.py --prompt "a fluffy kitten"

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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