davidbarker

10 ms·

91.
The Flux Pro Finetuning API from Black Forest Labs(blackforestlabs.ai)
1 points by davidbarker 2y ago|0 comments
92.
egoist/sitefetch: Fetch an entire site and save it as a text file(github.com)
2 points by davidbarker 2y ago|1 comments
93.
Reflections(blog.samaltman.com)
134 points by davidbarker 2y ago|112 comments
94.
Why is the Mac startup sound so successful? [video](youtube.com)
1 points by davidbarker 2y ago|0 comments
95.
ElevenLabs: Build AI Agents that speak(elevenlabs.io)
3 points by davidbarker 2y ago|0 comments
96.
Tulu 3 Instruction Models(allenai.org)
1 points by davidbarker 2y ago|0 comments
97.
The Elizabeth line is rewriting the UK's rail station usage charts(ianvisits.co.uk)
2 points by davidbarker 2y ago|0 comments
98.
The Bluesky Bubble: This is a relapse, not a fix(theatlantic.com)
49 points by davidbarker 2y ago|55 comments
99.
1M people have joined Bluesky in the last day(bsky.app)
125 points by davidbarker 2y ago|132 comments
100.
Brian Kernighan Trims His Beard in First CS50 Lecture in 1996 [video](youtube.com)
2 points by davidbarker 2y ago|0 comments
101.
MacsyZones, FancyZones for macOS(macsyzones.com)
1 points by davidbarker 2y ago|1 comments
102.
How a BBC navigation bar broke depending on which external monitor it was on(joshtumath.uk)
4 points by davidbarker 2y ago|0 comments
103.
FLUX1.1 [Pro] Ultra and Raw Modes(blackforestlabs.ai)
2 points by davidbarker 2y ago|0 comments
104.
IBM Granite 3.0: open enterprise models(ibm.com)
39 points by davidbarker 2y ago|6 comments
105.
"He articulated the way it should be" – Interview with Jonathan Ive(rams-foundation.org)
2 points by davidbarker 2y ago|0 comments
106.
NumberFlow – a React component to transition, localize, and format numbers(number-flow.barvian.me)
3 points by davidbarker 2y ago|0 comments
107.
Evaluating Fairness in ChatGPT(openai.com)
7 points by davidbarker 2y ago|0 comments
108.
Announcing Our Updated Responsible Scaling Policy(anthropic.com)
9 points by davidbarker 2y ago|1 comments
109.
by davidbarker 2y ago
It disappoints me when otherwise intelligent people take him for his word at this point. Even ignoring his descent into political madness and conspiracy, he's simply not trustworthy. Fool me once, shame on Elon. Fool me 194 times, sham
110.
Aria: First Open Multimodal Native MoE Model(rhymes.ai)
3 points by davidbarker 2y ago|0 comments
111.
Introducing The Message Batches API(anthropic.com)
3 points by davidbarker 2y ago|2 comments
112.
by davidbarker 2y ago
Unfortunately, not Flux. They're from Midjourney, using a few Degas as a style reference. Whatever they're doing at Midjourney is still impressive. No training needed and a better result.
113.
by davidbarker 2y ago
It's funny you should ask. I recently released a plugin ( https://community-en.eagle.cool/plugin/4B56113D-EB3E-4020-A8... ) for Eagle (an asset library management app) that allows you to write rules to caption/
114.
by davidbarker 2y ago
Out of curiosity, what do you think of these? https://imgur.com/a/8p7RlMe
115.
by davidbarker 2y ago
I suspect it really needs more training examples. The problem I found when I looked for images to use was that 60% were of dancers, and from past experience, it will end up trying to fit a dancer into every image you create. But of course,
116.
by davidbarker 2y ago
Awesome! :)
117.
by davidbarker 2y ago
Happy to help! It's a lot of fun. And it becomes even more fun when you combine LoRAs. So you could train one on your face, and then use that with a style LoRA, giving you a stylised version of your face. If you do end up training one
118.
by davidbarker 2y ago
It's very impressive. I aim for around 50 images if I'm training a style, but only 10 to 20 if training a concept (like an object or a face). I have a MacBook Air so I train using the various API providers. For training a style, I
119.
by davidbarker 2y ago
Thank you! A reasonable amount of training images (50 or so), and then I train for 2,000-ish steps for a new style. Many of them work well with Flux, particularly if they're illustration-based. Some don't seem to work at all, so I
120.
by davidbarker 2y ago
It's trickier than I thought it would be. Here are a few in Degar style I made after training for 2,500 steps. I'd love to hear what you think of them. To my (untrained) eye, they seem a little too defined, perhaps? https:/&

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