Create your own crystal skull images with AI
Uncover your own mysteries! Create images of crystal skulls and ancient artifacts with our AI image generator, free!
2 years ago
Searchers for the crystal skulls
Created 2 years ago · 2 comments· 0 likes
crystalclear1.5xClarity 1.5x
Creation Summary by Vincent
Children Admire Reflecting Crystal Skull in Gallery
This image shows two excited children viewing a finely detailed vintage crystal human skull, its reflections enhanced by convolution matrix and spot-healing techniques, displayed in a gallery.
Created by Ionafey on Jul 19, 2024 using the crystalclear AI image generator model.
2 Comments
Join the conversation
WynSongByrd @WynSongByrd
Ty all for playing! Congrats to our winners! NEW challenge up now! MEET ME THERE!
2024-11-25T02:16:50.170ZReply
I just wanted to take a moment to thank all of you for making my 50k celebration such a huge success! 🌟 Your amazing entries truly made this one of the most successful challenges I’ve hosted so far. A big congratulations to all the winners! 1st place @queenie 2nd place @naturx and 3rd place @tadashinfj 🏆
Your participation and enthusiasm made this milestone celebration even more special. I’m incredibly grateful for each and every one of you. 🙌
I hope to see you all again soon. Until then, goodnight and goodbye for now! 🌙
Warm regards,
~Anaa
Creation Settings
- Model
CKPT- Start Image
- Upscale Prompt
- Two children looking excited at a Vintage finely detailed crystal human skull, crystal reflecting, Convolution Matrix, Spot-Healing, SFX, Artifact, resin in glass cube in a gallery, 2/3 view, hyper detailed, hyper realism, fine detail, masterpiece
- Creativity
90%
Original Creation Settings
- Text Prompts
- <lora:crystalclear:1.0> Two children looking excited at a Vintage finely detailed crystal human skull, crystal reflecting, Convolution Matrix, Spot-Healing, SFX, Artifact, resin in glass cube in a gallery, 2/3 viewWeight: 1
- Model
CKPT- Addon Models
LoRA
Manncyxd- Initial Resolution
Medium
- Aspect Ratio
1:1
- Runtime
Long
- Overall Prompt Weight
90%
- Noise Weight
90%
- Sampling method
K_DPMPP_2M
