Nvidia GeForce RTX 4070 Ti SUPER 16G GAMING X SLIM
Unbound Gaming
The GAMING SLIM series is a more compact version of the GAMING series that nonetheless has an aggressive appearance and excellent performance capabilities. Those who are designing a gaming system with limited space might choose lighter designs.
Using DLSS 3
With NVIDIA GeForce RTX 4070 Ti SUPER, you can create and play games at a supercharged speed. The very effective NVIDIA Ada Lovelace architecture is used in its construction. Discover new creation possibilities, AI-accelerated speed with DLSS 3, lightning-fast ray tracing, and much more.
Accelerate Memory/Clock Speed
- 2670 MHz / 21 Gbps
- 16GB GDDR6X
- DisplayPort x 3 (v1.4a)
HDMI x 1 (Supports 4K@120Hz HDR, 8K@60Hz HDR, and Variable Refresh Rate as specified in HDMI 2.1a)
TRI-FROZR 3 Thermal Architecture
- TORX Fan 5.0: To stabilize and sustain high-pressure airflow, fan blades connected by ring arcs and a fan cowl cooperate.
- Copper Baseplate: A copper baseplate absorbs heat from the GPU and memory modules, which is then quickly transmitted to the core pipes.
- Core Pipe: A segment of heat pipes shaped like squares distributes heat to the heatsink after making maximum contact with the GPU.
- Airflow Control: Don’t worry, this feature directs airflow to the precise location required for optimal cooling.
The Afterburner
With the most well-known and extensively used graphics card overclocking software available, you can take complete control.
The new RTX 4070 Ti SUPER with 16GB VRAM buffer (up from 12GB) gives you a decent middle-ground in NVIDIA’s RTX 40-series portfolio. Following up on MSI’s first testing phase, they chose to assign the specialists a more challenging task: assessing NVIDIA GPUs using AnimateDiff, which generates animated graphics based on text and video inputs.
However, they will compare the new RTX 4070 Ti SUPER against the last-gen champions, the RTX 3080 Ti and 3080.
AnimateDiff image
With the help of the AnimateDiff pipeline, which combines Motion with the Stable Diffusion model, you may create animated GIFs or videos from text or video input.
AI Models with VRAM: How Much Is Needed?
RTX 4070 Ti SUPER
Anything above 12GB should work quite well, even if the RTX 4070 Ti SUPER’s larger VRAM capacity will be helpful for certain jobs. The RTX 4070 Ti SUPER should outperform its predecessors because to its massive 16GB VRAM buffer and unmatched power.
A “minimum VRAM” of 8GB is required for the Stability AI Stable Diffusion XL model. So let’s give it a little more juice and see whether they can significantly accelerate the processes involved in creating images!
RTX 4070 Ti SUPER 16G vs RTX 3080 Ti 12G versus RTX 3080 10G AnimateDiff Benchmarks
They will conduct some tests using Stable Diffusion 1.7 (via WebUI) in addition to jobs utilizing the AnimateDiff pipeline, so you can see how these GPUs respond to varying workloads.
Stable Diffusion 1.7 + ControlNet*2 + LoRA
The first test involves creating images using a LoRA and two ControlNets. For some reason, they find that the RTX 4080 struggles in this test compared to the RTX 4070 Ti SUPER, with just a little performance boost. Nevertheless, both cards easily defeated NVIDIA’s last-generation champions.
Compared to an RTX 3080 10G, the RTX 4070 Ti SUPER is a whooping 30% quicker, while the RTX 4080 SUPER is over 40% faster. Here, the RTX 4070 Ti SUPER delivers the best value because to its low cost and large VRAM buffer.
Stable Diffusion XL + ControlNet*2 + LoRA
In order to produce a few photos utilizing Stable Diffusion XL and the two ControlNets + LoRA from the earlier tests, they increase the resolution to 1024×1024 in the subsequent test.
Once again, the findings are a little surprising: The RTX 4080 16G outperformed the competition, boasting a strong ~53% advantage over the RTX 3080 10G. Furthermore, it surpasses the RTX 4070 Ti SUPER by around 21%.
With a lead of 6.5%, the RTX 4070 Ti SUPER doesn’t provide much of an advantage over the RTX 3080 Ti 12G, but it does produce pictures 26.6% quicker than the RTX 3080 10G.
AnimateDiff Text to Video + ControlNet
They don’t anticipate a significant impact in VRAM use while using AnimateDiff in ComfyUI to conduct a Text to Video workload. But because they are currently testing at comparatively lower resolutions (1024×1024), which won’t put too much strain on the VRAM, this is to be anticipated.
They will be creating an animated triple-fan graphics card for this test
RTX 4070 Super vs 3080 Ti
It looks a little off (very common for AI-generated graphics without much polish), but it should work well for us to monitor performance. As for the outcomes, the RTX 4070 Ti SUPER is doing well. Rendering animations 13% quicker than the RTX 3080 Ti 12G, it comfortably outperforms the previous generation champion. Furthermore, it outperforms the RTX 3080 by delivering a 35% quicker result!
AnimateDiff Video to Video
You may create an animation from a video by using the Video to Video pipeline for AnimateDiff. Since ComfyUI offers you a little bit more freedom than WebUI, they will employ it for this purpose.
This test’s findings are precisely what was anticipated, with the RTX 4070 Ti SUPER taking first place with ease once again. In testing, the RTX 4070 Ti SUPER outperformed the 3080 Ti 12G by 10.5% and the 3080 10G by 33%!
Playing Around with AnimateDiff LoRA
The group then made the enjoyable decision to create an animated version of Dr. Lucky! They needed to employ both a LoRA and a ControlNet to do this.
When creating AI pictures, you’ll come across all or at least one of these phrases since they’re crucial to producing outcomes that are significantly more reliable and useable. What then are they?
Overview of ControlNet and LoRA in Brief
ControlNets are neural network structures that let you use extra conditions to regulate diffusion models. Thus, by adding it to a model, you may manipulate the final picture without giving it too much information.
Conversely, a LoRA (Localized Representation Adjustment) modifies the outputs of Stable Diffusion by basing them on notions that are comparatively more limited, such as characters, topics, or styles of art.
Producing MSI Animated Fortune!
To get the ideal outcome, the personal “Lucky” LoRA had to be trained, as shown in the charming and bespectacled result below. It included choosing the appropriate dragon species, striking a suitable attitude, and other things. The video below provides more information on the procedure.
The Finest GPU for AnimateDiff-Generated Animated Videos
Even with reduced resolutions, the RTX 4070 Ti SUPER 16G surpasses even the best cards from NVIDIA’s previous generation in terms of producing animated films. At higher resolutions, the VRAM needs increase dramatically, and they anticipate seeing much more of a disparity between these GPUs.
If your job entails producing these kinds of movies, animations, or graphics on a regular basis, an RTX 4070 Ti SUPER 16G GPU with a 16GB VRAM buffer is a great choice. Because of its increased VRAM capacity, it not only outperforms all previous generation components at higher resolutions, but it also outperforms them in terms of raw performance!
Await the next tests, which will challenge these GPUs to produce even better quality and resolution animations.
