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hardmaru Profile picture
@hardmaru
Aug 19, 2019 • 11 tweets • 7 min read • Read on X
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Poster art of the #HongKongProtests
The typeface is often chosen to mimic the fonts used in the MTR train system, and manga.
Typeface used by a city’s public transport system becomes representative of the city. Here is an experiment by an artist where they swapped the fonts between Hong Kong MTR map and Tokyo Metro:
Calligraphy or Graffiti?
Capitalism with Chinese characteristics
@cathaypacific The designers behind the #HongKongProtests poster art
Training for the Hong Kong Marathon?
@StanChartHelp @HKWORLDCITY Hong Kong explained as GitHub activity

「HK原本是從CN fork出來的，後來被UK push了好多feature，現在要merge回CN，conflict太多了⋯⋯」 🤣
fine arts students @CUHKofficial crafting large banner
Sculptures produced by art students @CUHKofficial
“Hong Kong democracy goddess” statue is the result of a crowded funded project, where HKD200k (~USD25k) was raised within 6 hours.

The details of the design was also decided via public voting, so democratic values is embedded in the art creation process.

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More from @hardmaru

hardmaru Profile picture
May 24, 2023
Interview with Jürgen Schmidhuber, ‘Father Of Modern AI’, who says his life’s work won’t lead to dystopia.

He goes quite in depth into his views about the future of AI and AGI. A refreshing view of things, compared to other ‘influential leaders’ in AI.

reddit.com/r/MachineLearn… Schmidhuber: It is true tha...
Schmidhuber’s take on whether it makes sense to ban large language models like GPT in education, and future of human labor.

“Laziness and efficiency is a hallmark of intelligence. Any intelligent being wants to minimize its efforts to achieve things.”

reddit.com/r/MachineLearn… Let’s make a few limited jo...
@SchmidhuberAI On open-source AI, “I signed this open letter by @laion_ai because I strongly favor the open-source movement. And I think it's also something that is going to challenge whatever big tech dominance there might be at the moment.”

“Since AI is still getting exponentially cheaper… twitter.com/i/web/status/1… Image
Read 5 tweets
hardmaru Profile picture
Jan 6, 2023
A #StableDiffusion model trained on images of Japanese Kanji characters came up with “Fake Kanji” for novel concepts like Skyscraper, Pikachu, Elon Musk, Deep Learning, YouTube, Gundam, Singularity, etc.

They kind of make sense. Not bad!
This is similar to the “Fake Kanji” with recurrent neural network experiments I did many years ago, when computers were 1000x less powerful :) Kind of fun to see updated results with modern diffusion models.

blog.otoro.net/2015/12/28/rec…

These were what I generated back in 2015:
Super Mario Kanji 😂
Read 5 tweets
hardmaru Profile picture
Nov 24, 2022
Excited to announce the release of Stable Diffusion 2.0!

Many new features in v2:

• Base 512x512 and 768x768 models trained from scratch with new OpenCLIP text encoder
• X4 upscaling text-guided diffusion model
• New “Depth2Image” functionality

Blog: stability.ai/blog/stable-di…
This release is led by @robrombach @StabilityAI

The new SD2 base model is trained from scratch using OpenCLIP-ViT/H text encoder (github.com/mlfoundations/…), with quality improvements over V1. It is fine-tuned using v-prediction (arxiv.org/abs/2202.00512) to produce 768x768 images:
A new 4x up-scaling text-guided diffusion model, enabling resolutions of 2048x2048 (or even higher!), when combined with the new text-to-image models in this release.

Made possible using Efficient Attention in (github.com/facebookresear…).

Example of 128x128 to 512x512 up-scaling:
Read 9 tweets
hardmaru Profile picture
Jul 19, 2022
Tried some interesting prompts to test OpenAI’s new reduced-bias #dalle2 #dalle model that will generate images of people that more accurately reflect the diversity of the world’s population.

“Professional DSLR color photograph of British soldiers during the American Revolution” ImageImageImageImage
Here’s another four samples of the same prompt.

Reducing Bias and Improving Safety in DALL·E 2 blog post:

openai.com/blog/reducing-… ImageImageImageImage
Another test:

“DSLR color photo of an US/American soldier digging a trench during 1918”

#dalle2 #dalle ImageImage
Read 4 tweets
hardmaru Profile picture
Jun 29, 2022
The most interesting and viral images you see produced by text-to-image models are not merely the results of the deep learning models themselves, but rather the result of a complex feedback loop between a human neural net🧠 interacting with an artificial neural net🤖.

🧵Thread👇
You can clearly see this, because the prompts for images that end up going viral for one model, clearly don’t “work” for another model.

The best images are chosen from evolutionary selection at the community level, and each image are the result of human/model iterative feedback:
From the #dallemini phenomenon, it’s also clear that the most viral content is not related to particular art styles, or whether the model can produce high quality images (reflected in training data). But rather, whether the model can portray cultural items that people talk about.
Read 5 tweets
hardmaru Profile picture
Jun 28, 2022
Good Morning!

I tried to use text-to-image models to combine historical architecture with other locations around the world.

Here is “The Great Wall of San Francisco” by #Imagen

🧵Thread👇🏽 ImageImageImage
“The Great Wall of Stanford” generated using #Imagen

Accurate: ImageImageImage
Let’s take this somewhere more exotic.

Here’s “The Great Wall of Bali” by #Imagen ImageImage
Read 13 tweets

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