AI slop design is everywhere. Good design is still rare.
The problem isn't the AI tool. It's expecting creativity from a single prompt.
πHere's how I combine human taste, design references, and AI to create better visuals:
1. I don't start by asking AI to create a design from scratch.
2. First, I visit platforms like Pinterest or Behance to explore designs created by others.
3. I search for what I need using simple keywords like "X banner", "X cover photo", or "LinkedIn poster".
4. I go through different designs and find one that closely matches what I have in mind.
5. I don't plan to copy the entire design. I use it as a reference and starting point.
6. Then I think about what I can improve, remove, replace, or add to make it better.
7. Sometimes, I explore more designs to find other elements, backgrounds, typography , colors, or styles that could work well together.
8. I think about how these different elements can be combined naturally into one design.
9. Once I have a clear idea, I upload the reference image to an AI image generation tool.
10. I explain exactly what I want, step by step, including what should stay the same and what needs to change.
11. If my requirements are complicated, I first ask AI to organize my ideas into a clear, detailed image generation prompt.
12. I read the generated prompt carefully instead of using it immediately.
13. I check whether the prompt correctly explains the reference image, my intended changes, and how everything should fit together.
14. If something is missing or unclear, I ask AI to improve the prompt.
15. Once I'm satisfied with the instructions, I use the final prompt and reference images to generate the design.
16. I review the output, identify anything that looks wrong, and make further adjustments if needed.
17. I repeat this process until the design looks close to what I originally imagined.
π The idea is simple: Don't let AI do all the thinking.
π Use your own creativity to explore, select, combine, and improve ideas.
π Let AI help you turn those ideas into a finished design.
π And finally, huge respect to the original designers and creators whose work inspires us.
π Their creativity, attention to detail, and countless hours of hard work are what make these designs possible in the first place.
π AI may help us create faster, but the creative minds behind the original work deserve the real credit.
Fungo Labs is one of the more interesting early attempts at real on-chain NFT privacy.
They use Zamaβs FHE so the NFT is public and tradeable, but its meaningful content stays encrypted β only the holder can see it, and contracts can still compute on it. Clean idea
@fungolabs
How we use Zama ?
β Every NFT mints sealed and is encrypted onchain using Zamaβs FHE.
β The contract computes on data it can never read.
β Its look and essence are determined by FHE randomness. Nobody gets to choose. Not even us.
π¨ Built with FHE on @zama.
DOTSET x CONSO BOT
We are @dotsetxyz , doing a collab with @conso_xyz
CONSO BOTS are Reputation-Backed Agentic Collectibles designed to act as Mobile Nodes for the CONSO Network. Powered by @SuiNetwork and secured by @WalrusProtocol .
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Just submitted my verified entry for the @CONSO BOT whitelist raffle on @dotsetarena! πβ‘
Ticket: #DS-926184
Join here: https://t.co/7ZOn1X24OT
#DOTSET#Web3#Whitelist
π₯· INJECTIVE ANNIVERSARY CAMPAIGN 1 π₯·
π― TOPIC: Injective NFT history
Talk about the story of NFTs on $INJ.
Highlight what theyβve achieved over the years, and how resilient theyβve been through the bear season.
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How to participate:
1β£ Quote this post with your original content.
2β£ Follow and tag @injective, @xCultofAnons, and @InjectiveLounge.
3β£ Posts, threads, and graphics are all welcome.
π October 1 β October 4
β° Deadline: October 4, 3 PM UTC
π Rewards: 20 INJ Pool + 1 Ninja Pass
Winners will be selected based on originality, clarity, and creativity.
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