It's my turn to set the Community Challenge for this week...
Theme
This weeks theme is 'Winter Festivities'
Celebrate the winter season by exploring a tapestry of global festivities through AI-generated art!
In this theme, we create captivating visuals that showcase the diverse array of winter celebrations around the world. From Hanukkah and Diwali to Christmas and New Year's, let your art depict the beauty of cultural traditions. Whether it's a traditional ceremony, a festive street parade, or a unique cultural event, channel the spirit of unity in diversity.
Share the joy of the season and extend warm wishes that resonate across cultures through your creatively inclusive depictions of winter festivities.
Rules
Follow the community’s rules above all else
One comment and image per user
Embed image directly in the post (no external link)
Workflow/Prompt sharing encouraged (we're all here for fun)
At the end of the week each post will be scored according to the following grid
Prize
Points
Most upvoted
+3 points
Second most upvoted
+1 point
Theme is clear
+1 point
OP’s favorite (me, this week)
+1 point
Most original
+1 point
Last entry (to compensate for less time to vote)
+1 point
Prompt and workflow included
+1 point
Posts that are ex aequo will both get the points
Winner gets to pick next theme! Good luck everyone and have fun!
Prompt: photograph of happy little kids holding sparklers at night during new year's eve, in a suburb with fireworks exploding in the background, panoramic view, 18mm, Disposable Camera --ar 4:3 --s 75
A memory of when I was little, we'd go out and light sparklers together before the "real" fireworks were set off at midnight. It felt so special to be out in the dark and getting to hold those sparklers.
I was quite surprised with how well it came out myself! Though I had to retry a few times to get the sparkler in their hand :)
Choosing a camera type in Midjourney can really make a difference if you want to go for realistic photos.
Here's a few of my runner-ups (behind a spoiler to keep the thread a bit clean):
Amazing! There must be millions of pictures in this style that have beens scanned over the years and ended up getting scooped up for training data. Any one of these could be mistaken for a real photo.