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## Colab notebooks
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* Playing with Stable Diffusion and inspecting the internal architecture of the models. [Open in Colab](https://colab.research.google.com/drive/1TvOlX2_l4pCBOKjDI672JcMm4q68sKrA?usp=sharing)
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* Build your own Stable Diffusion UNet model from scratch in a notebook. (with < 300 lines of codes!) [Open in Colab](https://colab.research.google.com/drive/1mm67_irYu3qU3hnfzqK5yQC38Fd5UFam?usp=sharing)
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* Build a Diffusion model (with UNet + cross attention) and train it to generate MNIST images based on the "text prompt". [Open in Colab](https://colab.research.google.com/drive/1Y5wr91g5jmpCDiX-RLfWL1eSBWoSuLqO?usp=sharing)
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* Build a Diffusion model (with UNet + cross attention) and train it to generate MNIST images based on the "text prompt". [Open in Colab (exercise)](https://colab.research.google.com/drive/1Y5wr91g5jmpCDiX-RLfWL1eSBWoSuLqO?usp=sharing) [Open in Colab (answer)](https://colab.research.google.com/drive/1_MEFfBdOI06GAuANrs1b8L-BBLn3x-ZJ?usp=sharing)

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