How do prompt modifiers impact #dalle2 image quality? I've run ~600 prompts with random modifiers and ranked the results 1-5. Here are my findings! 🧵 Image
Unsurprisingly, "Trending on artstation" seems to have the biggest impact. On average I've rated those 2.9 (compared to 2.0 for prompts with no mods)
* "rendered in octane": 2.4
* "vfx": 2.3
* "elegant": 2.2
* "digital art", "control the soul", "rendering", "wondrous", : 2.1
Mods that appear to make the results worse include:
* "contest winner", "wormhole", "magnificent", "detailed" : 1.7
* "8k", "stunning": 1.8
* "fantastic", "#wow": 1.9
Now of course this is all subjective and in many cases may not be statistically significant, YMMV. Did I miss any good modifiers that you love to use? Let me know!

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with Michael Becker

Michael Becker Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @beckerfuffle

Apr 4, 2020
@mattyglesias As one of the authors of CHIME I'm biased. We've done some internal comparison and found that the IHME model is a serious outlier. CHIME predicts the highest numbers. Due to the simplicity of the SIR modeling approach. Over short periods all models are equivalent. 1/n
@mattyglesias As @zeynep says "Don’t Believe the COVID-19 Models, That’s not what they’re for." CHIME is built for short-term (2-3 week) planning. On these short timelines, all existing models have similar results. However I would not trust the IHME model 2/n

theatlantic.com/technology/arc…
@mattyglesias @zeynep "All models are wrong but some are useful." IHME model uses arguably flawed death data out of Wuhan and Italy and a non-standard epidemiological approach. Assumes the best case scenario (Wuhan style lockdown). CHIME assumes simple/standard SIR model which overestimates 3/n
Read 5 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us on Twitter!

:(