Monthly Archives: August 2022

Using DALL•E for generative fashion design

Amazing work from the always clever Karen X. Cheng, collaborating with Paul Trillo & others:

 

 
 
 
 
 
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A post shared by Karen X (@karenxcheng)

Speaking of Paul here’s a fun new little VFX creation made using DALL•E:

Photoshop previews new AI-powered photo restoration

Eng manager Barry Young writes,

The latest beta build of Photoshop contains a new feature called Photo Restoration. Whenever I have seen new updates in AI photo restoration over the last few years, I have tried the technology on an old family photo that I have of my great great great grandfather. A Scotsman who lived between 1845-1919. I applied the neural filter plus colorize technique to update the image in Photoshop. The restored photo is on the left, the original on the right. It is really astonishing how advanced AI is becoming.

Learn more about accessing the feature in Photoshop here.

Alpaca brings Stable Diffusion to Photoshop 🔥

I don’t know much about these folks, but I’m excited to see that they’re working to integrate Stable Diffusion into Photoshop:

You can add your name to the waitlist via their site. Meanwhile here’s another exploration of SD + Photoshop:

🤘Death Metal Furby!🤘

See, isn’t that a more seductive title than “Personalizing Text-to-Image Generation using Textual Inversion“? 😌 But the so-titled paper seems really important in helping generative models like DALL•E to become much more precise. The team writes:

We ask: how can we use language-guided models to turn our cat into a painting, or imagine a new product based on our favorite toy? Here we present a simple approach that allows such creative freedom.

Using only 3-5 images of a user-provided concept, like an object or a style, we learn to represent it through new “words” in the embedding space of a frozen text-to-image model. These “words” can be composed into natural language sentences, guiding personalized creation in an intuitive way.

Check out the kind of thing it yields:

“Curt Skelton,” homebrew AI influencer

[Update: Seems that much of this may be fake. :-\ Still, the fact that it’s remotely plausible is nuts!]

Good lord (and poor Conan!). This creator used:

  • DALL•E to create hundreds of similar-looking images of a face
  • Create Skeleton to convert them into a 3D model
  • DeepMotion.com to generate 3D body animation
  • Deepfake Lab to generate facial animation
  • Audio tools to deepen & distort her voice, creating a new one
@curt.skelton

♬ Mr. Roboto – Live – Styx

Stunning landscape photos conjured by robots

The new open-source Stable Diffusion model is pretty darn compelling. Per PetaPixel:

“Just telling the AI something like ‘landscape photography by Marc Adamus, Glacial lake, sunset, dramatic lighting, mountains, clouds, beautiful’ gives instant pleasant looking photography-like images. It is incredible that technology has got to this point where mere words produce such wonderful images (please check the Facebook group for more).” — photographer  Aurel Manea

AI art: “…Y’know, for kids!”

Many years ago (nearly 10!), when I was in the thick of making up bedtime stories every night, I wished aloud for an app that would help do the following:

  • Record you telling your kids bedtime stories (maybe after prompting you just before bedtime)
  • Transcribe the text
  • Organize the sound & text files (into a book, journal, and/or timeline layout)
  • Add photos, illustrations, and links.
  • Share from the journal to a blog, Tumblr, etc.

I was never in a position to build it, but seeing this fusion of kid art + AI makes me hope again:

So here’s my tweet-length PRD:

  • Record parents’/kids’ voices.
  • Transcribe as a journal.
  • Enable scribbling.
  • Synthesize images on demand.

On behalf of parents & caregivers everywhere, come on, world—LFG! 😛

“Hyperlapse vs. AI,” + AR fashion

Malick Lombion & friends combined “more than 1,200 AI-generated art pieces combined with around 1,400 photographs” to create this trippy tour:

Elsewhere, After Effects ninja Paul Trillo is back at it with some amazing video-meets-DALL•E-inpainting work:

I’m eager to see all the ways people might combine generation & fashion—e.g. pre-rendering fabric for this kind of use in AR:

https://twitter.com/XRarchitect/status/1492269937829707776

Adobe VP. feat… Wu-Tang Clan?!

What the what? From Sébastien Deguy, founder of Allegorithmic & now VP 3D & Immersive at Adobe:

I don’t communicate often about that other part of my activities, but I am so glad I could work with one of my all time favorites that I have to 🙂 My latest track, featuring Raekwon (Wu-Tang Clan) is available on all streaming platforms! Like here on Spotify.

Perhaps even more surprisingly, it slaps! 👏

Video lovers: Adobe’s hiring a Community Relationship Manager for Pro Video

If this sounds like your kind of jam, read on! From the job description:


What you’ll do:

  • Share your knowledge, passion and experience of Adobe Premiere Pro and After Effects with video makers.
  • Engage daily with communities around professional video wherever they are (Reddit, Twitter, Facebook, Instagram, etc.) in two-way conversations, representing Adobe.
  • Be active and visible within the community, build long term relationships and trust, and demonstrate that knowledge and understanding of the users to help Adobe internally.
  • Build relationships with leaders in the identified communities.
  • Establish yourself as a leader through your work and participation in time-sensitive topics and conversations.
  • Answer questions and engage in discussion about Adobe products and policies with a heavy focus on newcomers to the ecosystem.
  • Encourage others through sharing your personal use of and experimentation with professional video tools.
  • Enable conversation, build content and speak about Adobe tools to address the specific audience needs.
  • Understand the competitive landscape and promptly report accordingly.
  • Coordinate with other community, product, marketing and campaign teams to develop mini-engagements and activities for the community (i.e. AMAs with the product team on Reddit, or community activities and discussions via live streams, etc.)
  • Work closely with the broader community team, evangelism team, and product teams to provide insight and feedback to advocate for the pro video community within Adobe and to help drive product development direction.

Stabile Diffusion + ArtBreeder = creative composition

We are teetering on the cusp of a Cambrian explosion in UI creativity, with hundreds of developers competing to put amazing controls atop a phalanx of ever-improving generative models. These next couple of months & years are gonna be wiiiiiiild.

A really amazing spin on AR furniture shopping

After seeing years & years of AR demos featuring the placement of furniture, I once heard someone say in exasperation, “Bro… how much furniture do you think I buy?”

Happily here’s a decidedly fresh approach, surrounding the user & some real-world furniture with a projection of the person’s 3D-scanned home. Wild!

Now, how easy can 3D home scanning be made—and how much do people care about this kind of scenario? I don’t know, but I love what the tech can enable already.

Old Photoshop ambitions & anxieties, back again with DALL•E & friends

Watching this clip from the Today Show introduction of Photoshop in 1990, it’s amazing to hear the same ethical questions 32 years ago that we contend with now around AI-generated imagery. Also amazing: I now work with Russell‘s son Davis (our designer) to explore AI imaging + Photoshop and beyond.

CLIP interrogator reveals what your robo-artist assistant sees

Ever since DALL•E hit the scene, I’ve been wanting to know what words its model for language-image pairing would use to describe images:

Now the somewhat scarily named CLIP Interrogator promises exactly that kind of insight:

What do the different OpenAI CLIP models see in an image? What might be a good text prompt to create similar images using CLIP guided diffusion or another text to image model? The CLIP Interrogator is here to get you answers!

Here’s hoping it helps us get some interesting image -> text -> image flywheels spinning.

Snap Research promises 3D creation from photo collections

Hmm—this is no doubt brilliant tech, and I’d like to learn more, but I wonder about the Venn diagram between “Objects that people want in 3D,” “Objects for which a sufficiently large number of good images exist,” and “Objects for which good human-made 3D models don’t already exist.” In my experience photogrammetry is most relevant for making models from extremely specific subjects (e.g. a particular apartment) rather than from common objects that are likely to exist on Sketchfab et al. It’s entirely possible I’m missing a nuanced application here, though. As I say, cool tech!

Insta360 Sphere promises epic aerial shots

Somehow I totally missed this announcement a few months back—perhaps because the device apparently isn’t compatible with my Mavic 2 Pro. I previously bought an Insta360 One R (which can split in half) with a drone-mounting cage, but I found the cam so flaky overall that I never took the step of affixing it to a cage that was said to interfere with GPS signals. In any event, this little guy looks fun:

Ketchup goes AI…? Heinz puts DALL•E to work

Interesting, and of course inevitable:

“This emerging tech isn’t perfect yet, so we got some weird results along with ones that looked like Heinz—but that was part of the fun. We then started plugging in ketchup combination phrases like ‘impressionist painting of a ketchup bottle’ or ‘ketchup tarot card’ and the results still largely resembled Heinz. We ultimately found that no matter how we were asking, we were still seeing results that looked like Heinz.”

Pass the Kemp!

[Via Aaron Hertzmann]

More DALL•E + After Effects magic

Creator Paul Trillo (see previous) is back at it. Here’s new work + a peek into how it’s made: