I could be missing something... it feels as if the generated image is
*yet more* similar to the one you seeded with than I would expect. It
is probably spurious that you did not include a harmonica (from the
original) in the generated one. Maybe the "crossed drumsticks"
provided a better perceptual/conceptual anchor than I would expect?
Probably not coincidental that the specifics of each element was so
"generic"... I'd have thought there was more variaiton in style and
sizing of the drumsticks, recorder, tin-whistle, etc. Even the "iron"
tuning forks were more "normalized" than I would have expected. The
originals, while probably steel (stainless), were surprising close in
scale/design than I would have suspected.
This all says much more about my expectations and how "normalized' these
types of instruments/elements would be.
The *patina* on the objects (sans recorder?) feels acutely authentic
excepting the pentagram box whose patina seems to be simply
"wood-charring" of a modern-factory-constructed box with little to no
wear? I'm trusting that the ?runes? on the margins of the box are
"authentic", but might have been drawn from some more nominal/stylized
portion of the plenum?
Re: energy/water-cooling consumption: I wonder how much a (more) full
distribution of transformers (from cloud to edge) will shift that?
When my laptop/phone is doing a significant part of the work, (or a
federation of semi-idle laptops/phones) will the waste heat/entropy-bump
change in any way or just occur in different geolocations?
On 3/23/26 10:34 am, glen wrote:
Nice. I've been playing with "round trip" variation. I'll send an
image to an LLM (Claude, Kimi, Mistral, Gemini, etc.) and have them
describe it, then either generate variants directly (for the ones that
can do it) or explicitly ask for a prompt to send to a visual model -
Claude can't generate images, yet). Then I'll take their generated
image(s) and send them to one of the others and ask if that image is
AI generated. I can't help but wonder how much fresh water and
electricity I'm wasting do this sort of thing; c'est la vie.
Attached is one of my original pictures and a variant generated from
Claude's prompt. It was interesting that I uploaded that same photo to
several LLMs and *only* Claude named the Jaw Harp. All the others said
things like "a key-like tool of some kind". Here's one of Claude's
prompt variations:
"Top-down view of ancient musical instruments laid out on a dark
wooden altar — a bone-white recorder, a tarnished tin whistle, crossed
drumsticks, iron tuning forks, and a jaw harp — beside a glowing
carved pentagram box. Candlelight flickers. Smoke wisps. Dark fantasy
RPG atmosphere."
On 3/23/26 9:06 AM, cody dooderson wrote:
Hi Gillian and the FRIAM Group,
I am going to thread jack because I know nothing about pip or UV, but
you did mention stable diffusion. I experimented with the HuggingFace
Diffusers library a few months ago(using pip).
My favorite thing to do was make the models hallucinate. Below is one
of my favorite results featuring a coworker; I was trying to put a
person into the style of a photograph using the Stable Diffusion
IP-Adapter pipeline. When I set the guidance for style to 0 and the
face to 1, it created all sorts of crazy hallucinations. I have don't
why it kept putting sheep into the picture. I could probably have an
art show with all of the failed stable diffusion images I made.
Thanks for opening up the window for me to share these!
xu.png
Different levels of hallucination:
diffusion10-20step.png
On Mon, Mar 23, 2026 at 8:42 AM glen <[email protected]
<mailto:[email protected]>> wrote:
I'm sure others are more well-informed than me. But because I'm
partly responsible for the overwhelming number of tokens in the other
thread, I feel a responsibility to reinforce your post.
My guess would be UV (being in Rust) is more naturally parallel
than PIP. So parallel downloads, parallel caching, etc. But to
exploit that, you'd have to also have a good way to manage package
dependencies. E.g. if any 2 packages, and the dependency trees
they're in, can be proven independent, than those trees can be
downloaded and installed in parallel.
But, as I said, others may have better or more detailed ideas.
On 3/21/26 10:08 AM, Gillian Densmore wrote:
> Basically dabbling with Stable Diffusion.
> One of the webuis for it uses UV.
> It seems pretty ok. I am confused though: How is that pip has
latency and download speed issues etc. While UV seems to go faster.
The command lines being readable by this idiot helps.
>
> Some mine doing a ELi5 what black magic UV's devs do to get it
a little better optimized. Seems to resolve deps nicer as well...I
tried reading on git hub how Astral (or other devs?) can do that. And
got lost.
>
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