About: Text-to-image model

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A text-to-image model is a machine learning model which takes as input a natural language description and produces an image matching that description. Such models began to be developed in the mid-2010s, as a result of advances in deep neural networks. In 2022, the output of state of the art text-to-image models, such as OpenAI's DALL-E 2, Google Brain's Imagen and StabilityAI's Stable Diffusion began to approach the quality of real photographs and human-drawn art.

Attributes	Values
rdfs:label	Text-to-image model (en)
rdfs:comment	A text-to-image model is a machine learning model which takes as input a natural language description and produces an image matching that description. Such models began to be developed in the mid-2010s, as a result of advances in deep neural networks. In 2022, the output of state of the art text-to-image models, such as OpenAI's DALL-E 2, Google Brain's Imagen and StabilityAI's Stable Diffusion began to approach the quality of real photographs and human-drawn art. (en)
foaf:depiction
dcterms:subject	Text-to-image generation
Wikipage page ID	71701751 (xsd:integer)
Wikipage revision ID	1124469466 (xsd:integer)
Link from a Wikipage to another Wikipage	DALL-E University of Toronto Deep learning Inception score Inceptionv3 Generative adversarial network Generative model Machine learning Clip art Fréchet inception distance Language model Diffusion model COCO (dataset) Recurrent neural network Text-to-image generation Attention mechanism Collage Transformer (machine learning model) Artificial intelligence art DALL-E 2 Image captioning Imagen (Google Brain) OpenAI Long short-term memory Natural language Stable Diffusion Variational autoencoder dbr:DRAW_(machine_learning)
sameAs	Text-to-image model Text-to-image model Text-to-image model Text-to-image model
dbp:wikiPageUsesTemplate	dbt:Image_frame dbt:Multiple_image dbt:R dbt:Reflist dbt:Short_description dbt:Excerpt
thumbnail	wiki-commons:Special:FilePath/AlignDRAW_-_Flying_stop_sign.png?width=300
align	right (en)
caption	Eight images generated from the text prompt "A stop sign is flying in blue skies." by AlignDRAW . (en) Images made via the open source Stable Diffusion. (en)
caption align	left (en)
content	268 (xsd:integer)
direction	vertical (en)
image	Gold Dragon Illustration by Stable Diffusionn.webp (en) Text-to-image woman underwater.png (en)
width	220 (xsd:integer) 268 (xsd:integer)
has abstract	A text-to-image model is a machine learning model which takes as input a natural language description and produces an image matching that description. Such models began to be developed in the mid-2010s, as a result of advances in deep neural networks. In 2022, the output of state of the art text-to-image models, such as OpenAI's DALL-E 2, Google Brain's Imagen and StabilityAI's Stable Diffusion began to approach the quality of real photographs and human-drawn art. Text-to-image models generally combine a language model, which transforms the input text into a latent representation, and a generative image model, which produces an image conditioned on that representation. The most effective models have generally been trained on massive amounts of image and text data scraped from the web. (en)
prov:wasDerivedFrom	wikipedia-en:Text-to-image_model?oldid=1124469466&ns=0
page length (characters) of wiki page	13401 (xsd:nonNegativeInteger)
foaf:isPrimaryTopicOf	wikipedia-en:Text-to-image_model
is rdfs:seeAlso of	Computer graphics
is Link from a Wikipage to another Wikipage of	2022 in science LAION Crungus TTI Timeline of computing 2020–present DreamBooth Loab NovelAI Diffusion model Google Brain Prompt Text-to-video Text to video Text-to-Video model Stable Diffusion Text-to-image Text-to-image generation Text-to-image generator Image generation ai
is Wikipage redirect of	Text-to-video Text to video Text-to-image Text-to-image generation Text-to-image generator Image generation ai
is Wikipage disambiguates of	TTI
is genre of	Stable Diffusion
is genre of	Stable Diffusion
is foaf:primaryTopic of	wikipedia-en:Text-to-image_model

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