Bokar N'Diaye

129 Followers
172 Following
129 Posts

RT @[email protected]

Great - InstructPix2Pix is working with #Automatic1111 Just install the "instruct-pix2pix" extension, dl the 22000.ckpt https://huggingface.co/timbrooks/instruct-pix2pix/tree/main and you're there.
1. Original
2. Make it autumn
3. Make her a ghost
4. Make it surreal
#stablediffusion #aiart

🐦🔗: https://twitter.com/TomLikesRobots/status/1619410673750151171

timbrooks/instruct-pix2pix at main

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

RT @[email protected]

Midjourney is the first @[email protected] server with over 10M members

🐦🔗: https://twitter.com/dereklyang/status/1618773251274182657

Derek Yang on Twitter

“Midjourney is the first @discord server with over 10M members”

Twitter

RT @[email protected]

The world according to the data #AI sees. 50% of datasets are connected to 12 institutions. Analysis of 4384 datasets and 60647 papers.
Read the report: https://arxiv.org/abs/2112.01716
By @[email protected] @[email protected] @[email protected]

🐦🔗: https://twitter.com/vdignum/status/1618020533374976005

Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research

Benchmark datasets play a central role in the organization of machine learning research. They coordinate researchers around shared research problems and serve as a measure of progress towards shared goals. Despite the foundational role of benchmarking practices in this field, relatively little attention has been paid to the dynamics of benchmark dataset use and reuse, within or across machine learning subcommunities. In this paper, we dig into these dynamics. We study how dataset usage patterns differ across machine learning subcommunities and across time from 2015-2020. We find increasing concentration on fewer and fewer datasets within task communities, significant adoption of datasets from other tasks, and concentration across the field on datasets that have been introduced by researchers situated within a small number of elite institutions. Our results have implications for scientific evaluation, AI ethics, and equity/access within the field.

arXiv.org

RT @[email protected]

📢🌀 Released my "Image Mixer" model!

Mix up concepts in multiple images and words to generate novel pictures!

Try it on @[email protected] spaces here: https://huggingface.co/spaces/lambdalabs/image-mixer-demo

🐦🔗: https://twitter.com/Buntworthy/status/1616042269945085953

Image Mixer Demo - a Hugging Face Space by lambdalabs

Discover amazing ML apps made by the community

RT @[email protected]

Composable-Diffusion can compose language to generate 3D assets now!

Composable 3D assets generation without any training/fine-tuning (diffusion model is Point-E).

Check our webpage and demo:
https://energy-based-model.github.io/Compositional-Visual-Generation-with-Composable-Diffusion-Models/

https://huggingface.co/spaces/Shuang59/Composable-Diffusion

"A green avocado" AND "A chair" https://twitter.com/ShuangL13799063/status/1552691858114879488

🐦🔗: https://twitter.com/ShuangL13799063/status/1615739690212274177

Compositional Visual Generation with Composable Diffusion Models

Compositional Visual Generation with Composable Diffusion Models

RT @[email protected]

@[email protected] @[email protected] The text to image part begins with @[email protected], I got started doing text to image stuff with CLIP when I went on r/deepdream to post my style transfers and was like "what is this Big Sleep thing everyone is posting outputs from now" and tried his notebook. :)

🐦🔗: https://twitter.com/RiversHaveWings/status/1615823096010932225

Rivers Have Wings on Twitter

“@misionera66 @ai_for_humans The text to image part begins with @advadnoun, I got started doing text to image stuff with CLIP when I went on r/deepdream to post my style transfers and was like "what is this Big Sleep thing everyone is posting outputs from now" and tried his notebook. :)”

Twitter

RT @[email protected]

The best analogy that I‘ve found for AI is that it’s like a calculator for reading and writing.

🐦🔗: https://twitter.com/naval/status/1615248290781745153

Naval on Twitter

“The best analogy that I‘ve found for AI is that it’s like a calculator for reading and writing.”

Twitter
CoffeeVectors on Twitter

“The #Multiverse Coat—Where style and #superposition collide. Made with #stablediffusion2 #depth2img, a CC0 video and @runwayml. Quick breakdown thread. 1/4 #aiphotography #aifashion #digitalfashion #aiportraits #aiartcommunity #aiia #mit #physics #quantumphysics #runwayml”

Twitter

RT @[email protected]

Since deep neural networks are hard-to-interpret mathematical functions, the debate over "AI" art is expressed in analogies: is it more like photography, how humans learn to make art, sampling, collage, image compression, conceptual art, recorded music, or textile machinery?

🐦🔗: https://twitter.com/AaronHertzmann/status/1614689312020533251

Aaron Hertzmann on Twitter

“Since deep neural networks are hard-to-interpret mathematical functions, the debate over "AI" art is expressed in analogies: is it more like photography, how humans learn to make art, sampling, collage, image compression, conceptual art, recorded music, or textile machinery?”

Twitter
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