AMD Releases Amuse 3.0: Local AI Image and Video Generation, Optimized for Ryzen AI and Radeon Hardware

AMD has taken a step forward in Artificial Intelligence applied to the local environment with the presentation of Amuse 3.0This version represents a significant evolution in the field of AI image and video generation directly on the devices themselves, without having to resort to the cloud, offering greater privacy and control for the user. The launch was carried out in collaboration with TensorStack, reinforcing both companies' commitment to democratizing generative AI in the PC ecosystem.

With this update, AMD seeks to bring the advanced visual creation experience closer to creatives, developers, and enthusiasts, simplifying processes and making the most of their own hardware. Processor users Ryzen AI and cards Radeon RX They find in Amuse 3.0 a platform fully optimized for your equipment, avoiding external dependencies and improving work autonomy.

Main new features of Amuse 3.0

Amuse 3.0 It incorporates a number of key features that distinguish it from previous versions and other cloud-centric solutions on the market:

• Local generation of images and videos: It is possible to create natively high-quality images and even short videos of up to six seconds in low resolution. The entire process is performed on the device itself, ensuring privacy and reducing latency.
• Support for over 100 AI models: Among them, the latest models stand out Stable Diffusion 3.5 y FLUX, highly refined to deliver superior results on AMD devices.
• Specific optimization for AMD hardware: The alliance with TensorStack has allowed us to take advantage of features such as AMD XDNA NPU and Radeon RX GPUs, achieving performance levels that are difficult to match in generic solutions.
• Advanced AI-powered video and image filters: Creatives and professionals will be able to apply effects and transform their creations from text indications, thanks to improvements in filters and control of neural networks implemented in Amuse 3.0.

The speed of inference becomes one of the most striking sections. According to official data communicated by AMD, the Optimized models in Amuse 3.0 are up to 4,3 times faster on a Radeon RX 9070 XT compared to standard AI proposals, and even 3,3x on Ryzen AI processors equipped with 50 TOPS class NPUsThis translates into a significant reduction in generation time, especially for complex or batch jobs.

Requirements and Compatibility: What Hardware Do You Need?

The focus of Amuse 3.0 is get the most out of the AMD ecosystem. Therefore, it is advisable to have computers that meet at least the following requirements:

• AMD Ryzen AI Processors, preferably from the new 300 or 8040 series to benefit from AI-accelerated local inference.
• 24 GB minimum RAM for moderately demanding loads; for more advanced models, 32 or even 64 GB may be necessary.
• AMD Radeon RX 7000 Series GPU, especially the 9070 XT, 7900 XTX, 7800 XT and PRO variants, which offer the best experience and full compatibility.
• Updated driversand Adrenalin 24.30.31.05 optimized and Amuse 3.0 Preview, to ensure access to the latest models and all features.

For examples of models running on different devices, the following table based on AMD specifications summarizes the most relevant combinations:

SD 3.5 Large, FLUX.DevPRO W7900 XT 48GB, PRO W7800 48GB-

These requirements reflect AMD's focus on boosting local performance, although entry-level models are still within reach of more modest systems with upgraded hardware.

Performance Comparison: Optimized Models vs. Generic Versions

The main advantage of Amuse 3.0 lies in speed and efficiency. The tests show that There generation is significantly reduced. For example, when using Stable Diffusion 3.5 Optimized, the response is faster and the result is closer to the prompt compared to the standard version.

When performing different tests with similar prompts, it is observed that:

• The speed of response in image creation increases, facilitating more agile workflows.
• The precision of the images It remains, although sometimes the work of AI in the optimized model is more evident.
• In aspects such as detail of complex objects (hands, faces, proportions), the AMD-optimized model tends to deliver more consistent results, especially for very detailed instructions.

The video improvements include local generation of clips of up to six seconds, as well as the application of AI filters and style cues from descriptive text. This feature is especially useful for visual artists and digital content creators looking to personalize their work in real time.

Privacy, control, and autonomy: Amuse 3.0's distinguishing features

One of the big bets of AMD and TensorStack with this launch is the execution of all inference and generation locally. In contrast to the dominant trend towards cloud-based models, this choice means:

• More privacy: All data processed and generated remains on the user's device, without being sent to external servers.
• Low latency: Generation is immediate and is not affected by Internet connection.
• Complete control over resources: The user decides when, how and with what resources to carry out each project.

Amuse 3.0 It is presented as a solution that prioritizes technological independence and the autonomy of creators over the growth of "everything as a service." More and more users are looking for alternatives that allow them to make the most of their hardware, without giving up control of their data or depending on third parties.

Ease of use, testing and downloading

El new Amuse 3.0 It incorporates an intuitive interface, with simplified modes for less experienced users—such as 'EZ Mode'—and advanced functions for professionals. developers, artists, and AI enthusiasts You can download the beta directly from the official TensorStack website, always making sure to install the drivers specific ones recommended by AMD to get the best experience, especially with optimized models.

In tests carried out with state-of-the-art equipment, including Ryzen 9 9950X3D CPU y Radeon RX 9070, improvements in inference time and response quality are confirmed, both in static images and in AI-generated clips.

The ability to choose from over a hundred models, adjust parameters, and experiment with AI-based filters makes Amuse 3.0 one of the most comprehensive alternatives for local visual generation.

Who is Amuse 3.0 for?

It is not designed exclusively for experts, but its potential is especially exploited in prepared teams for intensive AI workloads. Imaging professionals, digital artists, visual application developers, and tech enthusiasts will find Amuse 3.0 a versatile, capable, and privacy-respecting platform.

While the platform is not intended for entry-level or low-end hardware, it democratizes access to professional features. generation of art, video and AI experimentation local, marking a before and after compared to eminently cloud-based models.

The collaboration between AMD and TensorStack, the integration of advanced models of AI stability and the commitment to performance and local control make Amuse 3.0 a worthwhile option for those who want to work with artificial intelligence on their own terms and with the highest possible quality.

This launch reinforces AMD's commitment to establishing itself as a leader in local AI generation, combining speed, privacy, compatibility, and an unmatched model offering, all on the user's own device.

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Isaac

Passionate writer about the world of bytes and technology in general. I love sharing my knowledge through writing, and that's what I'll do on this blog, show you all the most interesting things about gadgets, software, hardware, tech trends, and more. My goal is to help you navigate the digital world in a simple and entertaining way.