#Stability AI Stable Diffusion XL

[govindhtech]

Stable Image Ultra, SD3 Large, Core On Amazon Bedrock

Stable Image Ultra, Stable Diffusion 3 Large(SD3 Large), and Stable Image Core are the three new text-to-image models from Stability AI that you may use with Amazon Bedrock now. These models may be used to quickly create high-quality images for a variety of use cases across marketing, advertising, media, entertainment, retail, and more. They also notably increase performance in multi-subject prompts, image quality, and typography.

Stability AI in Amazon Bedrock

Utilizing Stability AI’s most sophisticated text-to-image models

Presenting the most recent text-to-image models from Stability AI

Three Points of Stability The most recent state-of-the-art text-to-image models powered by AI are now accessible in Amazon Bedrock, offering scalable, fast visual content production capabilities.

Stable Image Ultra

Provides the most exquisite, lifelike results, ideal for big format applications and professional print media. Stable Image Ultra is very good at reproducing realistic details.

Stable Diffusion 3 Large(SD3 Large)

Finds a happy medium between output quality and generation speed. Perfect for producing digital assets such as newsletters, websites, and marketing materials in large quantities and with excellent quality.

Stable Image Core

Designed to produce images quickly and affordably, this tool is excellent for quickly iterating over ideas when brainstorming. The next generation model, after Stable Diffusion XL, is called Stable Image Core.

Introducing Stability AI

Leading global provider of open source generative AI, Stability AI creates innovative AI models for language, audio, image, and code with low resource needs.

Advantages

Modern architectural design

SOTA open architecture with 6.6B parameter ensemble pipeline and 3.5B parameter base model stage for image production.

Cinematic photorealism

Native 1024×1024 image generation including excellent detail and cinematic photorealism.

Intricate arrangements

Refined to produce intricate compositions with only the most basic natural language cues.

Use cases

Marketing and promotion

Make countless marketing assets and customized ad campaigns.

Entertainment and media

Create countless creative resources and use pictures to spark ideas.

Metaverse and gaming

Make up new worlds, scenes, and characters.

Features of the Model

Realistic photography

Stable Image Ultra produces photos with outstanding lighting, color, and detail, allowing for both photorealistic and excellent results in a variety of styles.

Quick comprehension

Consistency Long and intricate prompts requiring spatial thinking, compositional parts, actions, and styles can be understood by AI models.

Fonts

Unprecedented text quality is achieved with Stable Image Ultra while less spelling, kerning, letter formation, and spacing mistakes are present. In this instance, SD3 Ultra can precisely create certain text, objects, and lighting conditions.

Superior Illustrations

High-quality paintings, illustrations, and other visuals can be produced with SD3 Large, guaranteeing precise and captivating images for a variety of publications.

Rendering of Products

Consistency AI models can be utilized to produce excellent concept art, product renderings, and eye-catching visuals for print and billboard advertisements.

Versions of the models

Stable Image Ultra

Improved photorealism and inventiveness are provided by Stable Image Ultra, which produces outstanding images with incredibly accurate 3D imagery that includes minute elements like hands, lighting, and textures. Because of its ability to produce photos with various subjects, the model is perfect for producing intricate sceneries.

Languages Spoken: English

Does Not Support Fine Tuning:

Media and entertainment, game development, retail, publishing, education and training, and marketing/advertising agencies are among the use cases that are supported.

Stable Diffusion 3 Large (SD3 Large)

Spelling, picture quality, and multi-subject prompt performance are all significantly enhanced by this model. With its 8 billion parameter ensemble pipeline, SD3 Large offers a revolutionary state-of-the-art architecture for image generation that offers never-before-seen quality, user-friendliness, and the capacity to produce intricate compositions with only rudimentary natural language prompting.

Languages Spoken: English

Does Not Support Fine Tuning:

Media and entertainment, game development, retail, publishing, education and training, and marketing/advertising agencies are among the use cases that are supported.

Stable Image Core

With this 2.6 billion parameter model, the flagship service that produces high-quality photographs in a variety of styles without the need for prompt engineering, you may create images quickly and economically. Improved scene layout, including item positioning, adaptability, and readability at various sizes and applications, are among the capabilities.

Languages Spoken: English

Does Not Support Fine Tuning:

Media and entertainment, game development, retail, publishing, education and training, and marketing/advertising agencies are among the use cases that are supported.

Stable Diffusion XL 1.0

The next generation of models is called Stable Image Core; the prior model was called SDXL.

Languages Spoken: English

No fine-tuning is supported.

Use cases that are supported include marketing and advertising, media and entertainment, gaming, and the metaverse.

These models tackle common challenges such as rendering realistic hands and faces, and they do a fantastic job of delivering images with amazing photorealism, outstanding detail, color, and lighting. Given complicated instructions involving composition, style, and spatial reasoning, the models can interpret them thanks to their advanced quick understanding.

A variety of application scenarios are covered by the three new Stability AI models in Amazon Bedrock:

Stable Image Ultra: Ideal for large format applications and professional print media, Stable Image Ultra generates photorealistic outputs of the highest caliber. In terms of portraying remarkable detail and realism, Stable Image Ultra shines.

Stable Diffusion 3 Large(SD3 Large): Balances generating speed and output quality with Stable Diffusion 3 Large(SD3 Large). perfect for producing digital products in large quantities and with excellent quality, such as newsletters, websites, and marketing collateral.

Stable Image Core: Ideal for quick and economical image development, this tool allows you to quickly refine concepts while brainstorming.

Because of their unique Diffusion Transformer architecture, which implements two separate sets of weights for image and text but allows information flow between the two modalities, Stable Image Ultra and Stable Diffusion 3 Large(SD3 Large) have improved text quality in generated images significantly over Stable Diffusion XL (SDXL). In particular, there are fewer spelling and typographical errors.

Some photos made using these models are shown here.

Stable Image Ultra – Prompt: photo, realistic, stormy sky, stormy seated woman in field watching kite fly, concept art, complicated, expertly composed.Image credit to AWS

Stable Diffusion 3 Large(SD3 Large) – Prompt: detailed, gloomy lighting, rainy and dark, neon signs, reflections on wet pavement, and a male investigator standing beneath a streetlamp in a noir city. The artwork is done in the style of a comic book.Image credit to AWS

Stable Image Core: An expertly rendered, high-quality, photorealistic 3D model of a white and orange sneaker floating in the center of the image.Image credit to AWS

Case studies utilizing Amazon Bedrock’s new Stability AI models

Text-to-image models have the ability to revolutionize a wide range of sectors and help marketing and advertising departments create high-quality pictures for campaigns, social media posts, and product mockups much more quickly. They can also greatly streamline creative workflows in these departments. Companies may react to market trends faster and launch new projects faster by speeding up the creative process. Further, by offering quick visual depictions of ideas, these models can improve brainstorming sessions and encourage more creativity.

Artificial intelligence-generated images can assist in producing customized marketing materials and a variety of product presentations at scale for e-commerce enterprises. These tools may generate wireframes and prototypes fast in the field of interface and user experience design, speeding up the iterative process of design. Employing text-to-image models can result in substantial cost reductions, enhanced efficiency, and a competitive advantage in visual communication across a range of company operations.

Things to consider

The three new Stability AI models Stable Image Ultra, Stable Diffusion 3 Large(SD3 Large), and Stable Image Core are now accessible in the US West (Oregon) AWS Region on Amazon Bedrock. Amazon Bedrock has expanded its range of solutions to enhance creativity and expedite content creation processes with this launch. To determine the charges for your use case, see the Amazon Bedrock pricing page.

Read more on govindhtech.com

[artificicyai]

Stable Diffusion XL | Free AI Art Generator - Clipdrop | Stable Diffusion Tutorial

[tumnikkeimatome]

どちらも無料で使える代表的な画像生成AI『DALL·E 3』と『SDXL』主な違い：手軽に利用可能なDALL·E 3とオープンソースで高度なカスタマイズ可能なSDXL

はじめに 近年、人工知能技術の発展により、高品質な画像を自動生成できるAIモデルが登場しています。 その中でも、OpenAIの『DALL·E 3』とStability AIの『Stable Diffusion XL (SDXL)』は、どちらも無料で利用できる代表的な画像生成AIです。 本記事では、この2つのモデルの主な違いについて解説します。 画質の比較 DALL·E 3とSDXLは、どちらも非常に高品質の画像を生成することができます。 特にSDXLは、写真のようなリアルな画像の生成に優れています。 一方、DALL·E 3の生成画像は、デジタルレンダリングのような印象を受けることがあります。 プロンプトの仕組みと理解力の違い DALL·E 3とSDXLでは、プロンプトの仕組みが根本的に異なります。 DALL·E…

[aiartresources]

Stability AI releases Stable Diffusion XL, its next-gen image synthesis model – Ars Technica

[hackernewsrobot]

Stability AI releases its latest image-generating model, Stable Diffusion XL 1.0

https://techcrunch.com/2023/07/26/stability-ai-releases-its-latest-image-generating-model-stable-diffusion-xl-1-0/

[stablediffusion]

“I'm really impressed and hyped with the SD XL! These are the 20 images that I saw being generated in the last hours on Discord and left me with my mouth open.”

Created with Stable Diffusion--a brand new open source AI by Stability AI.

Give us a follow on Twitter: @StableDiffusion

h/t Seromelhor

[zikito-memo]

1枚の画像から「似た画像」をサクッと生成して素材集めを爆速化できるAIツール「Reimagine XL」を使ってみた - GIGAZINE

[tumnikkeimatome]

Stability AI Developer Platform：画像生成AIに関する包括的なAPIサービスを提供、日本語特化モデル充実、1000画像あたり2ドルから利用可能

はじめに Stability AI Developer Platformは、最先端の生成AIモデルへの低コストなAPIアクセスを提供し、テキストから画像・動画生成、画像編集など幅広い機能を備えた、開発者に利用しやすい総合的プラットフォームです。特に日本語に特化したモデルの充実が特徴的です。 提供されるサービスと機能 Stability AI Developer Platformは以下のような多彩な画像生成モデルとサービスを提供しています。 画像生成モデル Stable Diffusion XL (SDXL)とStable Diffusion 1.6: テキストから高品質な画像を生成するモデル。SDXLは画像構成や顔の生成が優れている。 SDXL Turbo: Stable AIの研究チームが開発した高速版のSDXL。 Japanese Stable Diffusion XL:…

[govindhtech]

RTX 4070 Ti SUPER for Stable Diffusion and AnimateDiff

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%.Image credit to MSI

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%!Image credit to MSI

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.

Read more on Govindhtech.com

[govindhtech]

Powerful Intel Arc Graphics and DirectML Collaboration

Intel Arc Graphics and Microsoft’s DirectML

The use of generative AI technology is revolutionizing their workflow and opening up new possibilities in a variety of industries, including coding, real-time graphics, and video production. Now Intel and Microsoft are showcasing their collaborative engineering efforts to facilitate cutting-edge generative AI workloads on Intel GPUs running Windows, in conjunction with the Microsoft Ignite developer conference.

Intel Arc GPUs: Designed for AI workloads of the future

With the release of its Intel Arc A-Series graphics cards last year, Intel made a foray into the discrete GPU market. The Intel Arc A770 GPU, the flagship model in this family, has 16GB of high-bandwidth GDDR6 memory in addition to Intel Xe Matrix Extensions, a potent AI acceleration technology (Intel XMX.) The customized XMX array provides exceptional performance for applications requiring generative AI, particularly for matrix multiplication.

Subsequently, Intel and Microsoft have collaborated to enhance DirectML compatibility with Intel Arc graphics solutions, ranging from the Intel Arc A770 GPU to the Intel Arc GPUs integrated into the next Core Ultra mobile CPUs (also known as Meteor Lake).

Olive tweaks and additional

Ensuring that the models fit and perform effectively within the limitations of consumer PC system settings is one of the challenges developers have when delivering AI capabilities to client systems. Microsoft published the open-source Olive model optimization tool last year to aid in addressing this difficulty. Olive has just been upgraded with enhancements centered around some of the most fascinating new artificial intelligence models, such as the Llama 2 big language model from Meta and the Stable Diffusion XL text-to-image generator from Stability AI.

We discovered that the Olive-optimized version of Stable Diffusion 1.5 works on the Intel Arc A770 GPU via the ONNX Runtime with the DirectML execution provider at a performance that is twice as fast as the default model, demonstrating the potential of this tool.

Although there is a significant improvement, our work didn’t end there. For all generative AI tasks, a wide range of operators are optimized by Intel’s graphics driver. Our driver has a highly optimized version of the multi-head attention (MHA) metacommand, which significantly enhances efficiency by extracting even more from models such as Stable Diffusion. Consequently, our most recent driver outperforms the previous one by up to 36% in Stable Diffusion 1.5 on the Intel Arc A770 GPU.

The net effect is a cumulative acceleration of the Intel Arc A770’s Stable Diffusion 1.5 by up to 2.7 times.

Additionally, the Olive-optimized versions of Llama 2 and Stable Diffusion XL are now functionally supported by this new driver, and further optimizations for all three of these models are on the horizon.

Next, what?

Since many years ago, Intel has collaborated with developers to offer enhanced AI capabilities on our platforms. The work encompasses a variety of end-user apps, such as powerful suites for content production including Adobe Creative Cloud, the AI-enhanced portfolio from Topaz Labs, and Blackmagic DaVinci Resolve. With the use of our Intel Xe Super Sampling (XeSS) AI-based upscaling technology, we have also assisted game creators in providing improved gaming experiences in a number of well-known games. We’re going to keep driving the AI PC revolution on Windows 11 and beyond, together with Microsoft and the developer community!

Read more on Govindhtech.com

[tumnikkeimatome]

日本語特化の画像生成モデル「Japanese Stable Diffusion XL」の特徴と使用方法

Japanese Stable Diffusion XLの概要 「Japanese Stable Diffusion XL」は、Stability AIとrinna社が共同開発した、日本語に特化した画像生成モデルです。Stable Diffusion技術を用い、ランダムなノイズから高品質で多様な画像を生成します。このモデルは、日本語の文章から画像を生成し、画像に文字を書き込む機能も備えています。例えば、「青い空の下で走る白い犬」のような文章から詳細な画像を作り出すことが可能です。 画像生成の性能 「Japanese Stable Diffusion…

[artificicyai]

Stable Diffusion XL | Free AI Art Generator - Clipdrop | Stable Diffusion Tutorial

Watch the Full Video Here 📷

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[hackernewsrobot]

Stable Diffusion XL technical report [pdf]

https://github.com/Stability-AI/generative-models/blob/main/assets/sdxl_report.pdf

[stablediffusion]

“Sd XL can be finetuned on consumer hardware”

Created by the open source Stable Diffusion project, open source AI by Stability AI.

Give us a follow on Twitter: @StableDiffusion

ht ThaJedi