🔥AI Meme Generator: This Meme Does Not Exist
Imgflip created an “AI meme generator”. Meme captions are generated by neural network.
Link: https://imgflip.com/ai-meme
#NLP #NLU #meme #generation #imgflip
Imgflip created an “AI meme generator”. Meme captions are generated by neural network.
Link: https://imgflip.com/ai-meme
#NLP #NLU #meme #generation #imgflip
🔥Logo generation autonomous system was revealed to be used in production for almost a year.
Leading Russia-based design studio Artlebedev revealed that they experimented with using neural networks and set of algorithmic systems to design logotypes for real customers. They named system Nikolay Ironov (in russian N.Ironov sounds close to Neuronov). The system realeased 17 commercial projects, which were welcomed by the audience.
Mishief managed! 😈
Link: https://www.artlebedev.com/ironov/
Project portfolio: https://www.artlebedev.ru/nikolay-ironov/
#GAN #design #logotypes #logo #generation #generative #artlebedev
Leading Russia-based design studio Artlebedev revealed that they experimented with using neural networks and set of algorithmic systems to design logotypes for real customers. They named system Nikolay Ironov (in russian N.Ironov sounds close to Neuronov). The system realeased 17 commercial projects, which were welcomed by the audience.
Mishief managed! 😈
Link: https://www.artlebedev.com/ironov/
Project portfolio: https://www.artlebedev.ru/nikolay-ironov/
#GAN #design #logotypes #logo #generation #generative #artlebedev
AI Generated Pokemon Sprites with GPT-2
Author trained #GPT2 model to generate #pokemon sprites, encoding them as the lines of characters (including color). Surprisingly, results were decent, so this leaves us wonder if #GPT3 results would be better.
YouTube: https://www.youtube.com/watch?v=Z9K3cwSL6uM
GitHub: https://github.com/MatthewRayfield/pokemon-gpt-2
Article: https://matthewrayfield.com/articles/ai-generated-pokemon-sprites-with-gpt-2/
Example: https://matthewrayfield.com/projects/ai-pokemon/
#NLU #NLP #generation #neuralart
Author trained #GPT2 model to generate #pokemon sprites, encoding them as the lines of characters (including color). Surprisingly, results were decent, so this leaves us wonder if #GPT3 results would be better.
YouTube: https://www.youtube.com/watch?v=Z9K3cwSL6uM
GitHub: https://github.com/MatthewRayfield/pokemon-gpt-2
Article: https://matthewrayfield.com/articles/ai-generated-pokemon-sprites-with-gpt-2/
Example: https://matthewrayfield.com/projects/ai-pokemon/
#NLU #NLP #generation #neuralart
This Olesya doesn't exist
Author trained StyleGAN2-ADA network on 2445 personal photos to generate new photo on the site each time there is a refresh or click.
Website: http://thisolesyadoesnotexist.glitch.me
Olesya's personal site: https://monolesan.com
#StyleGAN2 #StyleGAN2ADA #generation #thisXdoesntexist
Author trained StyleGAN2-ADA network on 2445 personal photos to generate new photo on the site each time there is a refresh or click.
Website: http://thisolesyadoesnotexist.glitch.me
Olesya's personal site: https://monolesan.com
#StyleGAN2 #StyleGAN2ADA #generation #thisXdoesntexist
Experimenting with CLIP+VQGAN to Create AI Generated Art
Tips and tricks on prompts to #vqclip. TLDR:
* Adding
* Using the pipe to split a prompt into separate prompts that are steered towards independently may be counterproductive.
Article: https://blog.roboflow.com/ai-generated-art/
Colab Notebook: https://colab.research.google.com/drive/1go6YwMFe5MX6XM9tv-cnQiSTU50N9EeT
#visualization #gan #generation #generatinveart #vqgan #clip
Tips and tricks on prompts to #vqclip. TLDR:
* Adding
rendered in unreal engine
, trending on artstation
, top of /r/art
improves image quality significally.* Using the pipe to split a prompt into separate prompts that are steered towards independently may be counterproductive.
Article: https://blog.roboflow.com/ai-generated-art/
Colab Notebook: https://colab.research.google.com/drive/1go6YwMFe5MX6XM9tv-cnQiSTU50N9EeT
#visualization #gan #generation #generatinveart #vqgan #clip
🦜 Hi!
We are the first Telegram Data Science channel.
Channel was started as a collection of notable papers, news and releases shared for the members of Open Data Science (ODS) community. Through the years of just keeping the thing going we grew to an independent online Media supporting principles of Free and Open access to the information related to Data Science.
Ultimate Posts
* Where to start learning more about Data Science. https://github.com/open-data-science/ultimate_posts/tree/master/where_to_start
* @opendatascience channel audience research. https://github.com/open-data-science/ods_channel_stats_eda
Open Data Science
ODS.ai is an international community of people anyhow related to Data Science.
Website: https://ods.ai
Hashtags
Through the years we accumulated a big collection of materials, most of them accompanied by hashtags.
#deeplearning #DL — post about deep neural networks (> 1 layer)
#cv — posts related to Computer Vision. Pictures and videos
#nlp #nlu — Natural Language Processing and Natural Language Understanding. Texts and sequences
#audiolearning #speechrecognition — related to audio information processing
#ar — augmeneted reality related content
#rl — Reinforcement Learning (agents, bots and neural networks capable of playing games)
#gan #generation #generatinveart #neuralart — about neural artt and image generation
#transformer #vqgan #vae #bert #clip #StyleGAN2 #Unet #resnet #keras #Pytorch #GPT3 #GPT2 — related to special architectures or frameworks
#coding #CS — content related to software engineering sphere
#OpenAI #microsoft #Github #DeepMind #Yandex #Google #Facebook #huggingface — hashtags related to certain companies
#productionml #sota #recommendation #embeddings #selfdriving #dataset #opensource #analytics #statistics #attention #machine #translation #visualization
Chats
- Data Science Chat https://t.me/datascience_chat
- ODS Slack through invite form at website
ODS resources
* Main website: https://ods.ai
* ODS Community Telegram Channel (in Russian): @ods_ru
* ML trainings Telegram Channel: @mltrainings
* ODS Community Twitter: https://twitter.com/ods_ai
Feedback and Contacts
You are welcome to reach administration through telegram bot: @opendatasciencebot
We are the first Telegram Data Science channel.
Channel was started as a collection of notable papers, news and releases shared for the members of Open Data Science (ODS) community. Through the years of just keeping the thing going we grew to an independent online Media supporting principles of Free and Open access to the information related to Data Science.
Ultimate Posts
* Where to start learning more about Data Science. https://github.com/open-data-science/ultimate_posts/tree/master/where_to_start
* @opendatascience channel audience research. https://github.com/open-data-science/ods_channel_stats_eda
Open Data Science
ODS.ai is an international community of people anyhow related to Data Science.
Website: https://ods.ai
Hashtags
Through the years we accumulated a big collection of materials, most of them accompanied by hashtags.
#deeplearning #DL — post about deep neural networks (> 1 layer)
#cv — posts related to Computer Vision. Pictures and videos
#nlp #nlu — Natural Language Processing and Natural Language Understanding. Texts and sequences
#audiolearning #speechrecognition — related to audio information processing
#ar — augmeneted reality related content
#rl — Reinforcement Learning (agents, bots and neural networks capable of playing games)
#gan #generation #generatinveart #neuralart — about neural artt and image generation
#transformer #vqgan #vae #bert #clip #StyleGAN2 #Unet #resnet #keras #Pytorch #GPT3 #GPT2 — related to special architectures or frameworks
#coding #CS — content related to software engineering sphere
#OpenAI #microsoft #Github #DeepMind #Yandex #Google #Facebook #huggingface — hashtags related to certain companies
#productionml #sota #recommendation #embeddings #selfdriving #dataset #opensource #analytics #statistics #attention #machine #translation #visualization
Chats
- Data Science Chat https://t.me/datascience_chat
- ODS Slack through invite form at website
ODS resources
* Main website: https://ods.ai
* ODS Community Telegram Channel (in Russian): @ods_ru
* ML trainings Telegram Channel: @mltrainings
* ODS Community Twitter: https://twitter.com/ods_ai
Feedback and Contacts
You are welcome to reach administration through telegram bot: @opendatasciencebot
GitHub
ultimate_posts/where_to_start at master · open-data-science/ultimate_posts
Ultimate posts for opendatascience telegram channel - open-data-science/ultimate_posts
Data Science by ODS.ai 🦜
Big step after first DALL·E — DALL·E 2 In January 2021, OpenAI introduced DALL·E. One year later, their newest system, DALL·E 2, generates more realistic and accurate images with 4x greater resolution. The first DALL·E is a transformer model. It receives…
DALL·E Now Available in Beta
#Dalle by #openai was released for public (though obviously moderated) access. Join waitlist to play around.
Images are also available for commercial use.
By default user can generate 460 images, further generations (or variations on generated images) will be available on paid plan.
Link: https://openai.com/blog/dall-e-now-available-in-beta/
#image #CV #GAN #generation #generatinveart
#Dalle by #openai was released for public (though obviously moderated) access. Join waitlist to play around.
Images are also available for commercial use.
By default user can generate 460 images, further generations (or variations on generated images) will be available on paid plan.
Link: https://openai.com/blog/dall-e-now-available-in-beta/
#image #CV #GAN #generation #generatinveart
Openai
DALL·E now available in beta
We’ll invite 1 million people from our waitlist over the coming weeks. Users can create with DALL·E using free credits that refill every month, and buy additional credits in 115-generation increments for $15.
Data Science by ODS.ai 🦜
DALL·E Now Available in Beta #Dalle by #openai was released for public (though obviously moderated) access. Join waitlist to play around. Images are also available for commercial use. By default user can generate 460 images, further generations (or variations…
Images, generated by #dalle on the input
#openai #generatinveart #generation
Illustration for dalle-2 beta release post
, courtesy of @stas_kulesh.#openai #generatinveart #generation
Data Science by ODS.ai 🦜
Experimenting with CLIP+VQGAN to Create AI Generated Art Tips and tricks on prompts to #vqclip. TLDR: * Adding rendered in unreal engine, trending on artstation, top of /r/art improves image quality significally. * Using the pipe to split a prompt into…
Some stats to get the perspective of the development of #dalle
«Used 1000 prompts in Dalle over the last 2 days, about 9 hours each day. Of those, saved ~300. 50 I like enough to share w/ socials. 12 enough to rework for future projects. 3 were perfect, may mint someday. Curation is *1* step of AI art. I used to finish physicals in less time.»
Source: https://twitter.com/clairesilver12/status/1550709299797577729
#visualization #gan #generation #generatinveart #aiart #artgentips
«Used 1000 prompts in Dalle over the last 2 days, about 9 hours each day. Of those, saved ~300. 50 I like enough to share w/ socials. 12 enough to rework for future projects. 3 were perfect, may mint someday. Curation is *1* step of AI art. I used to finish physicals in less time.»
Source: https://twitter.com/clairesilver12/status/1550709299797577729
#visualization #gan #generation #generatinveart #aiart #artgentips
Data Science by ODS.ai 🦜
Some stats to get the perspective of the development of #dalle «Used 1000 prompts in Dalle over the last 2 days, about 9 hours each day. Of those, saved ~300. 50 I like enough to share w/ socials. 12 enough to rework for future projects. 3 were perfect,…
Tips & Tricks on Image Generation
Generating images with AI tools is a skill, which can be improved and enhanced. So here is couple of articles, covering tips & tricks on how to generate better images with #midjourney. Most interesting one is #huggingface prompt generator, which uses #NLP model to generate sample prompts.
As an example, we tried to reproduce and improve our group avatar, following ideas in the articles. Prompt for an illustration to this post was generated with query
Midjourney Prompt Generator: https://huggingface.co/spaces/doevent/prompt-generator
List of Midjourney prompts: https://www.followchain.org/midjourney-prompts/
An advanced guide to writing prompts for Midjourney ( text-to-image): https://medium.com/mlearning-ai/an-advanced-guide-to-writing-prompts-for-midjourney-text-to-image-aa12a1e33b6
#visualization #gan #generation #generatinveart #aiart #artgentips
Generating images with AI tools is a skill, which can be improved and enhanced. So here is couple of articles, covering tips & tricks on how to generate better images with #midjourney. Most interesting one is #huggingface prompt generator, which uses #NLP model to generate sample prompts.
As an example, we tried to reproduce and improve our group avatar, following ideas in the articles. Prompt for an illustration to this post was generated with query
ferrofluids in form of a brain, beautiful connections chaos, swirling black network --ar 3:4 --iw 9 --q 2 --s 1250
Midjourney Prompt Generator: https://huggingface.co/spaces/doevent/prompt-generator
List of Midjourney prompts: https://www.followchain.org/midjourney-prompts/
An advanced guide to writing prompts for Midjourney ( text-to-image): https://medium.com/mlearning-ai/an-advanced-guide-to-writing-prompts-for-midjourney-text-to-image-aa12a1e33b6
#visualization #gan #generation #generatinveart #aiart #artgentips