Posts tagged Diffusion Model

Running ComfyUI on AMD Instinct

Building workflows for generative AI tasks can of course be done purely in code. However, as the interest in GenAI has soared together with its use in people’s daily lives, more and more people start to search for and explore tools and software for building GenAI workflows that do not require extensive programming knowledge. One such tool is ComfyUI, which provides users with a simple drag and drop UI for building GenAI workflows. This blog post will briefly cover what ComfyUI is, and how you can get it up and running on your AMD Instinct hardware.

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All-in-One Video Editing with VACE on AMD Instinct GPUs

This blog takes a closer look at recent advances in AI-powered video editing, highlighting how modern diffusion models enable users to accomplish various video editing tasks on AMD Instinct GPUs using Alibaba’s VACE model.

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Accelerating FastVideo on AMD GPUs with TeaCache

Video generation is entering a new era, powered by diffusion models that deliver photorealistic and temporally consistent results from text prompts. Models like Wan2.1 push the boundaries of what’s possible in AI-generated content, but to unlock their full potential, inference performance must scale with both model complexity and hardware capabilities.

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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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