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alignDRAW

The first text-to-image artwork from 2015.

Fellowship is excited to release the first text-to-Image AI artworks from Elman Mansimov’s alignDRAW, a breakthrough project that marked a new era of human-machine collaboration.

“When we look at the initial low-resolution and hazy images from nearly two centuries ago, we see the whole future potential of photography, which eventually became the dominating imaging and communication technology of our time. And when I look at comparable low-resolution alignDRAW pictures, I see a similar promise for a new major visual method that could very soon become as essential as lens photography was in the last two hundred years.”

— Dr. Lev Manovich (the most cited digital art writer in the world).

"This is the Nicéphore Niépce of AI. You guys this is amazing."

Darius Himes, International Head of Photographs at Christie's, introduces the alignDRAW series of artworks at Paris Photo in 2023. He draws parallels between the work of Elman Mansimov to Nicéphore Niépce, the inventor of the first photographic process in 1826.

alignDRAW Book (2025)

alignDRAW brings together five essays that revisit Elman Mansimov’s 2015 experiment in generating images from text using neural networks. The book presents this early stage of text-to-image AI as both a technical and cultural event, where computation began to participate in image-making. The essays by Lev Manovich, Shana Lopes, Eva Jäger, Mat Dryhurst, and Darius Himes situate Mansimov’s work within longer histories of visual representation, from photography to conceptual art, and examine how alignDRAW blurs the boundaries between research and artistic practice.

Code experiments like Mansimov’s are consistent with the logic and aims of contemporary art: process over product, methodology made visible, participation invited, and new aesthetic territories explored. If contemporary art institutions claim to care about where genuinely new forms of seeing and making emerge, this project argues, they must broaden their attention to include these forms of computational creation.

Worcester Art Museum Acquisition

In January 2024 the prestigious Worcester Art Museum announced their acquisiton of 3 paper prompt print editions:

  • A stop sign flying in blue skies
  • A herd of elephants flying in the blue skies
  • A green school bus parked in a parking lot

The artworks will be included in an upcoming show entitled New Terrain: 21st-Century Landscape Photography. This Spring Exhibition will showcase meditations on place and identity created in the past 20 years.

The museum's vast collection spans 38,000 objects from around the world and Mansimov's alignDRAW will share a place alongside some of the some of the most renowned artists in history incluiding Picasso, Rembrant, Monet, Van Gogh, Matisse, Pollock and more.

alignDRAW exhibited at Basel

In June 2024, alignDRAW was exhibited at Basel alongside Art Basel, the world's most prestigious art fair.

alignDRAW, the first text-to-image tool, was positioned between Harold Cohen's AARON, the first AI art-making tool, and Holly Herndon + Mat Dryhurst's Infinite ∞ Images, the only artwork created with DALL·E 1, the first mainstream AI tool.

"The widespread popularity of DALL·E and Stable Diffusion shed the limelight onto the first text-to-image model, alignDRAW, developed in 2015 by the AI researcher Elman Mansimov, its smaller lower-resolution images portraying the infancy of a technology that would then rapidly mature and come to define the artistic practice of the early 2020s. The small squares with barely recognisable shapes are significant as proof of concept of a new form of communication between machines and humans, one that involves our own language as opposed to code: finally the day has come when we can exchange ideas with machines as equals."

  • Luba Elliott
In Conversation with Elman Mansimov

"There was significant advancement in image captioning around that time [2015]. Given my familiarity with generative models and newly acquired research skills, I pondered over inverting the captioning process. Instead of transitioning from image to text, I envisioned going from text to image. My core hypothesis before embarking on alignDRAW was that image generation should be a recurrent, iterative process, rather than an instantaneous creation.

I was 19 when I began this project. At the time, I wasn't dwelling on my age. I felt I was doing something significant and valuable. My primary goal was to hone my skills and enhance my academic prospects in deep learning. While I anticipated progress in generative models and image generation, I hadn't foreseen this technology becoming as mainstream and impactful as it has."

Read the full interview here: https://daily.xyz/insights/3

Press & Articles
Generating Images from Captions with Attention

Mansimov et al's official published academic paper from 2015.

Mansimov et al's official published academic paper from 2015.

See more
AI art, explained

Vox video showing Elman Mansimov as the inventor of text-to-image models.

Vox video showing Elman Mansimov as the inventor of text-to-image models.

See more
Text-to-image model

Wikipedia article crediting alignDRAW as the first modern text-to-image model.

Wikipedia article crediting alignDRAW as the first modern text-to-image model.

See more
Computer, Draw an Open Toilet Sitting In a Grassy Field

Wired magazine article from 2015 praising 19 year old "artificial intelligence wunderkind" Mansimov.

Wired magazine article from 2015 praising 19 year old "artificial intelligence wunderkind" Mansimov.

See more
Frequently Asked Questions
alignDRAW Book (2025)

alignDRAW brings together five essays that revisit Elman Mansimov’s 2015 experiment in generating images from text using neural networks. The book presents this early stage of text-to-image AI as both a technical and cultural event, where computation began to participate in image-making. The essays by Lev Manovich, Shana Lopes, Eva Jäger, Mat Dryhurst, and Darius Himes situate Mansimov’s work within longer histories of visual representation, from photography to conceptual art, and examine how alignDRAW blurs the boundaries between research and artistic practice.

Code experiments like Mansimov’s are consistent with the logic and aims of contemporary art: process over product, methodology made visible, participation invited, and new aesthetic territories explored. If contemporary art institutions claim to care about where genuinely new forms of seeing and making emerge, this project argues, they must broaden their attention to include these forms of computational creation.

alignDRAW

作成者 FellowshipPhotos
Ethereum
2,709
2023年11月
アート
作成者 FellowshipPhotos
Ethereum
2,709
2023年11月発売
アート
最低価格
0.38 ETH
1階 %0%
トップオファー
0.30 WETH
24時間の出来高 0.00 ETH
合計出来高2,422.93 ETH
出品中1%
所有者 (一意)514 (19%)

alignDRAW
alignDRAW

作成者 FellowshipPhotos
Ethereum
2,709
2023年11月
アート
作成者 FellowshipPhotos
Ethereum
2,709
2023年11月発売
アート
探索
アイテム
オファー
所有者
特性
アクティビティ
当社について

alignDRAW

作成者 FellowshipPhotos
Ethereum
2,709
2023年11月
アート
作成者 FellowshipPhotos
Ethereum
2,709
2023年11月発売
アート
最低価格
0.38 ETH
1階 %0%
トップオファー
0.30 WETH
24時間の出来高 0.00 ETH
合計出来高2,422.93 ETH
出品中1%
所有者 (一意)514 (19%)

alignDRAW
alignDRAW

作成者 FellowshipPhotos
Ethereum
2,709
2023年11月
アート
作成者 FellowshipPhotos
Ethereum
2,709
2023年11月発売
アート
探索
アイテム
オファー
所有者
特性
アクティビティ
当社について
alignDRAW

The first text-to-image artwork from 2015.

Fellowship is excited to release the first text-to-Image AI artworks from Elman Mansimov’s alignDRAW, a breakthrough project that marked a new era of human-machine collaboration.

“When we look at the initial low-resolution and hazy images from nearly two centuries ago, we see the whole future potential of photography, which eventually became the dominating imaging and communication technology of our time. And when I look at comparable low-resolution alignDRAW pictures, I see a similar promise for a new major visual method that could very soon become as essential as lens photography was in the last two hundred years.”

— Dr. Lev Manovich (the most cited digital art writer in the world).

"This is the Nicéphore Niépce of AI. You guys this is amazing."

Darius Himes, International Head of Photographs at Christie's, introduces the alignDRAW series of artworks at Paris Photo in 2023. He draws parallels between the work of Elman Mansimov to Nicéphore Niépce, the inventor of the first photographic process in 1826.

alignDRAW Book (2025)

alignDRAW brings together five essays that revisit Elman Mansimov’s 2015 experiment in generating images from text using neural networks. The book presents this early stage of text-to-image AI as both a technical and cultural event, where computation began to participate in image-making. The essays by Lev Manovich, Shana Lopes, Eva Jäger, Mat Dryhurst, and Darius Himes situate Mansimov’s work within longer histories of visual representation, from photography to conceptual art, and examine how alignDRAW blurs the boundaries between research and artistic practice.

Code experiments like Mansimov’s are consistent with the logic and aims of contemporary art: process over product, methodology made visible, participation invited, and new aesthetic territories explored. If contemporary art institutions claim to care about where genuinely new forms of seeing and making emerge, this project argues, they must broaden their attention to include these forms of computational creation.

alignDRAW Book (2025)

alignDRAW brings together five essays that revisit Elman Mansimov’s 2015 experiment in generating images from text using neural networks. The book presents this early stage of text-to-image AI as both a technical and cultural event, where computation began to participate in image-making. The essays by Lev Manovich, Shana Lopes, Eva Jäger, Mat Dryhurst, and Darius Himes situate Mansimov’s work within longer histories of visual representation, from photography to conceptual art, and examine how alignDRAW blurs the boundaries between research and artistic practice.

Code experiments like Mansimov’s are consistent with the logic and aims of contemporary art: process over product, methodology made visible, participation invited, and new aesthetic territories explored. If contemporary art institutions claim to care about where genuinely new forms of seeing and making emerge, this project argues, they must broaden their attention to include these forms of computational creation.

Worcester Art Museum Acquisition

In January 2024 the prestigious Worcester Art Museum announced their acquisiton of 3 paper prompt print editions:

  • A stop sign flying in blue skies
  • A herd of elephants flying in the blue skies
  • A green school bus parked in a parking lot

The artworks will be included in an upcoming show entitled New Terrain: 21st-Century Landscape Photography. This Spring Exhibition will showcase meditations on place and identity created in the past 20 years.

The museum's vast collection spans 38,000 objects from around the world and Mansimov's alignDRAW will share a place alongside some of the some of the most renowned artists in history incluiding Picasso, Rembrant, Monet, Van Gogh, Matisse, Pollock and more.

alignDRAW exhibited at Basel

In June 2024, alignDRAW was exhibited at Basel alongside Art Basel, the world's most prestigious art fair.

alignDRAW, the first text-to-image tool, was positioned between Harold Cohen's AARON, the first AI art-making tool, and Holly Herndon + Mat Dryhurst's Infinite ∞ Images, the only artwork created with DALL·E 1, the first mainstream AI tool.

"The widespread popularity of DALL·E and Stable Diffusion shed the limelight onto the first text-to-image model, alignDRAW, developed in 2015 by the AI researcher Elman Mansimov, its smaller lower-resolution images portraying the infancy of a technology that would then rapidly mature and come to define the artistic practice of the early 2020s. The small squares with barely recognisable shapes are significant as proof of concept of a new form of communication between machines and humans, one that involves our own language as opposed to code: finally the day has come when we can exchange ideas with machines as equals."

  • Luba Elliott
In Conversation with Elman Mansimov

"There was significant advancement in image captioning around that time [2015]. Given my familiarity with generative models and newly acquired research skills, I pondered over inverting the captioning process. Instead of transitioning from image to text, I envisioned going from text to image. My core hypothesis before embarking on alignDRAW was that image generation should be a recurrent, iterative process, rather than an instantaneous creation.

I was 19 when I began this project. At the time, I wasn't dwelling on my age. I felt I was doing something significant and valuable. My primary goal was to hone my skills and enhance my academic prospects in deep learning. While I anticipated progress in generative models and image generation, I hadn't foreseen this technology becoming as mainstream and impactful as it has."

Read the full interview here: https://daily.xyz/insights/3

Press & Articles
Generating Images from Captions with Attention

Mansimov et al's official published academic paper from 2015.

Mansimov et al's official published academic paper from 2015.

See more
AI art, explained

Vox video showing Elman Mansimov as the inventor of text-to-image models.

Vox video showing Elman Mansimov as the inventor of text-to-image models.

See more
Text-to-image model

Wikipedia article crediting alignDRAW as the first modern text-to-image model.

Wikipedia article crediting alignDRAW as the first modern text-to-image model.

See more
Computer, Draw an Open Toilet Sitting In a Grassy Field

Wired magazine article from 2015 praising 19 year old "artificial intelligence wunderkind" Mansimov.

Wired magazine article from 2015 praising 19 year old "artificial intelligence wunderkind" Mansimov.

See more
Frequently Asked Questions
alignDRAW

The first text-to-image artwork from 2015.

Fellowship is excited to release the first text-to-Image AI artworks from Elman Mansimov’s alignDRAW, a breakthrough project that marked a new era of human-machine collaboration.

“When we look at the initial low-resolution and hazy images from nearly two centuries ago, we see the whole future potential of photography, which eventually became the dominating imaging and communication technology of our time. And when I look at comparable low-resolution alignDRAW pictures, I see a similar promise for a new major visual method that could very soon become as essential as lens photography was in the last two hundred years.”

— Dr. Lev Manovich (the most cited digital art writer in the world).

"This is the Nicéphore Niépce of AI. You guys this is amazing."

Darius Himes, International Head of Photographs at Christie's, introduces the alignDRAW series of artworks at Paris Photo in 2023. He draws parallels between the work of Elman Mansimov to Nicéphore Niépce, the inventor of the first photographic process in 1826.

alignDRAW Book (2025)

alignDRAW brings together five essays that revisit Elman Mansimov’s 2015 experiment in generating images from text using neural networks. The book presents this early stage of text-to-image AI as both a technical and cultural event, where computation began to participate in image-making. The essays by Lev Manovich, Shana Lopes, Eva Jäger, Mat Dryhurst, and Darius Himes situate Mansimov’s work within longer histories of visual representation, from photography to conceptual art, and examine how alignDRAW blurs the boundaries between research and artistic practice.

Code experiments like Mansimov’s are consistent with the logic and aims of contemporary art: process over product, methodology made visible, participation invited, and new aesthetic territories explored. If contemporary art institutions claim to care about where genuinely new forms of seeing and making emerge, this project argues, they must broaden their attention to include these forms of computational creation.

alignDRAW Book (2025)

alignDRAW brings together five essays that revisit Elman Mansimov’s 2015 experiment in generating images from text using neural networks. The book presents this early stage of text-to-image AI as both a technical and cultural event, where computation began to participate in image-making. The essays by Lev Manovich, Shana Lopes, Eva Jäger, Mat Dryhurst, and Darius Himes situate Mansimov’s work within longer histories of visual representation, from photography to conceptual art, and examine how alignDRAW blurs the boundaries between research and artistic practice.

Code experiments like Mansimov’s are consistent with the logic and aims of contemporary art: process over product, methodology made visible, participation invited, and new aesthetic territories explored. If contemporary art institutions claim to care about where genuinely new forms of seeing and making emerge, this project argues, they must broaden their attention to include these forms of computational creation.

Worcester Art Museum Acquisition

In January 2024 the prestigious Worcester Art Museum announced their acquisiton of 3 paper prompt print editions:

  • A stop sign flying in blue skies
  • A herd of elephants flying in the blue skies
  • A green school bus parked in a parking lot

The artworks will be included in an upcoming show entitled New Terrain: 21st-Century Landscape Photography. This Spring Exhibition will showcase meditations on place and identity created in the past 20 years.

The museum's vast collection spans 38,000 objects from around the world and Mansimov's alignDRAW will share a place alongside some of the some of the most renowned artists in history incluiding Picasso, Rembrant, Monet, Van Gogh, Matisse, Pollock and more.

alignDRAW exhibited at Basel

In June 2024, alignDRAW was exhibited at Basel alongside Art Basel, the world's most prestigious art fair.

alignDRAW, the first text-to-image tool, was positioned between Harold Cohen's AARON, the first AI art-making tool, and Holly Herndon + Mat Dryhurst's Infinite ∞ Images, the only artwork created with DALL·E 1, the first mainstream AI tool.

"The widespread popularity of DALL·E and Stable Diffusion shed the limelight onto the first text-to-image model, alignDRAW, developed in 2015 by the AI researcher Elman Mansimov, its smaller lower-resolution images portraying the infancy of a technology that would then rapidly mature and come to define the artistic practice of the early 2020s. The small squares with barely recognisable shapes are significant as proof of concept of a new form of communication between machines and humans, one that involves our own language as opposed to code: finally the day has come when we can exchange ideas with machines as equals."

  • Luba Elliott
In Conversation with Elman Mansimov

"There was significant advancement in image captioning around that time [2015]. Given my familiarity with generative models and newly acquired research skills, I pondered over inverting the captioning process. Instead of transitioning from image to text, I envisioned going from text to image. My core hypothesis before embarking on alignDRAW was that image generation should be a recurrent, iterative process, rather than an instantaneous creation.

I was 19 when I began this project. At the time, I wasn't dwelling on my age. I felt I was doing something significant and valuable. My primary goal was to hone my skills and enhance my academic prospects in deep learning. While I anticipated progress in generative models and image generation, I hadn't foreseen this technology becoming as mainstream and impactful as it has."

Read the full interview here: https://daily.xyz/insights/3

Press & Articles
Generating Images from Captions with Attention

Mansimov et al's official published academic paper from 2015.

Mansimov et al's official published academic paper from 2015.

See more
AI art, explained

Vox video showing Elman Mansimov as the inventor of text-to-image models.

Vox video showing Elman Mansimov as the inventor of text-to-image models.

See more
Text-to-image model

Wikipedia article crediting alignDRAW as the first modern text-to-image model.

Wikipedia article crediting alignDRAW as the first modern text-to-image model.

See more
Computer, Draw an Open Toilet Sitting In a Grassy Field

Wired magazine article from 2015 praising 19 year old "artificial intelligence wunderkind" Mansimov.

Wired magazine article from 2015 praising 19 year old "artificial intelligence wunderkind" Mansimov.

See more
Frequently Asked Questions