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Posts tagged Diffusion Model

Multinode Fine-Tuning of Stable Diffusion XL on AMD GPUs with Hugging Face Accelerate and OCI’s Kubernetes Engine (OKE)

As the scale and complexity of generative AI and deep learning models grow, multinode training, basically dividing a training job across several processors, has become an essential strategy to speed up training and fine-tuning processes of large generative AI models like SDXL. By distributing the training workload across multiple GPUs on multiple nodes, multinode setups can significantly accelerate the training process. In this blog post we will show you, step-by step, how to set-up and fine-tune a Stable Diffusion XL (SDXL) model in a multinode Oracle Cloud Infrastructure’s (OCI) Kubernetes Engine (OKE) on AMD GPUs using ROCm.

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Inferencing with AI2’s OLMo model on AMD GPU

In this blog, we will show you how to generate text using AI2’s OLMo model on AMD GPU.

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Scale AI applications with Ray

1, Apr 2024 by

Logan Grado, {hoverxref}Eliot Li.

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Efficient image generation with Stable Diffusion models and ONNX Runtime using AMD GPUs

23 Feb, 2024 by

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Efficient image generation with Stable Diffusion models and AITemplate using AMD GPUs

24 Jan, 2024 by

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