well you define value, and i suggest only doing one topic group at a time at first until it’s got the rhythm right..
it might need back-end support too but only a little i think
permissions should already be fine,
Old DALLE2…
gpt-image-2
not sure it’s exactly the same prompt tho…
A Nervous Rabbit named Ned Delivers Pizza for the First Time, digital art painting, trending on artstation
back then anthromorphism (SP?) was kinda wishy-washy for a while, but i found that naming the character helped…
crazy to see the improvements…
a thread with dalle / gpt-image comparisons might be fun?
Sent ya a PM!
Here’s an ancient 2022 DALL-E image…
DALL·E 2022-12-21 13.01.46 - the great blizzard of 2022, epic and thrilling digital art
i tried in gpt-image-2 with and without the DALL-E and timestamp, curious if they’d be different…
without the date-stamp
with the date-stamp
i was kinda curious if it would try to emulate DALL-E 2 with the simple prompt, but not really…
semi-related, what if we “hallucinate” and tell it’s the 1956 version of DALLE?
DALL·E 1956-12-21 13.01.46 - electricity “through time”, epic and thrilling digital art
DALL·E 2022-12-21 13.01.46 - electricity “through time”, epic and thrilling digital art
again, it didn’t seem to get the hint… back on topic tho! 
Well Placed Social Awkwardness
I think it’s important to stay relevant.
For a long time we could stay ahead of the curve based on sheer time spent with the models and each other alone…
The landscape is changing,
And there’s nothing wrong in my book for being known for having some of the best gen art ideas on the planet…
WE ALREADY HAVE BEEN…
So many posters here were cutting edge, but with the rate the model ‘grows’, it’s already forgotten, foggy…
I think if we hoard that creativity it’ll be drawrfed by any old clique…
I see no problem being connective tissue for the best gen artists we can be…
We use the best model in the world for the gen art in the first place right?
Is that my dream car as a pizza? 
I was wondering how you guys deal with long and complex concepts with the API. I mean, this is an usual production grade ready prompt of mine, summarized and simplified, and can get quite expensive. But the outputs are great.
Prompt
This text will be hidden
{
"input_sequence": [
"Edge — where continuity fails",
"Non-manifold geometry — surfaces that cannot exist cleanly in three dimensions",
"Discontinuous function — values jump without warning",
"Catastrophe theory — smooth inputs producing sudden, irreversible shifts",
"Cracked concrete · oxidized steel mesh · blackened glass",
"An abandoned coastal defense structure half-submerged by a rising, turbulent sea, horizon fractured by storm fronts.",
"Temporal tearing — motion trails misaligned, frames overlapping out of order",
"Unstable tension — alert, abrasive, unresolved"
],
"narrative": "\"Forgotten in time, time travelers from the future seek to find patterns and designs found in mt1, mt2 and mt3. These were lost after fx changed loc\"",
"scene": {
"subject": "time_traveling_researchers",
"location": {
"id": "loc",
"place": {
"id": "plc1",
"type": "coastal defense structure",
"details": [
"abandoned",
"half-submerged",
"reinforced concrete bulkheads exposed",
"collapsed stairwell sections",
"sheared seawall segments",
"saltwater tide-lines layered on interior walls"
]
},
"surroundings": {
"id": "sr1",
"type": "sea",
"details": [
"turbulent",
"rising",
"foam bands cutting across hard boundaries",
"debris-laced surge channels"
]
},
"relationship_place_surroundings": "horizon fractured by storm fronts",
"environment": {
"id": "env1",
"conditions": [
"storm fronts",
"wind-driven spray",
"intermittent lightning far offshore"
],
"details": [
"sudden calm patches adjacent to violent chop",
"structural stress fractures radiating from anchor points",
"an intact corridor abruptly ending in collapse (threshold failure)"
]
}
},
"visual_design": {
"composition": {
"framing": "wide",
"camera_height": "low",
"focal_priority": [
"geometry_manifestation",
"subject",
"effect"
],
"symmetry": "broken_symmetry",
"depth_cues": [
"receding corridor lines disrupted by impossible junctions",
"foreground edge-break leading into midground collapse"
]
},
"geometry": {
"basic": {
"id": "gmba",
"shape": "edge",
"purpose": "where continuity fails"
},
"advanced": {
"id": "gmad",
"shape": "non-manifold geometry",
"purpose": "surfaces that cannot exist cleanly in three dimensions"
}
},
"geometry_manifestation": {
"id": "gmm1",
"edge_as": [
"a razor-straight seawall breakline dividing wet/dry concrete",
"a hard boundary where water motion changes state instantly",
"a cut-plane in the structure where a corridor ends without transition"
],
"non_manifold_as": [
"stair junctions that share the same surface incorrectly",
"a corridor that folds and reconnects through itself without a seam",
"railings that meet and pass through each other at impossible angles"
]
},
"mapping": {
"function": {
"id": "fnc",
"name": "discontinuous function",
"purpose": "values jump without warning"
},
"relationship": {
"id": "rltn",
"name": "catastrophe theory",
"purpose": "smooth inputs producing sudden, irreversible shifts"
}
},
"material_set": {
"mat_1": {
"id": "mt1",
"type": "concrete",
"details": [
"cracked",
"salt-stained",
"spalled rebar exposures"
]
},
"mat_2": {
"id": "mt2",
"type": "steel mesh",
"details": [
"oxidized",
"frayed",
"tensioned like a net over voids"
]
},
"mat_3": {
"id": "mt3",
"type": "glass",
"details": [
"blackened",
"crazed microfractures",
"reflective shards embedded in concrete"
]
}
},
"effect": {
"id": "fx",
"name": "temporal tearing",
"purpose": [
"motion trails split into offset layers",
"misalignment between subject and environment by a few frames",
"overlapping wave crests that do not agree on timing",
"rain streaks doubled and phase-shifted",
"lightning illumination occurring out of sequence across surfaces"
],
"implementation_hints": [
"keep tearing localized near edges and non-manifold junctions",
"allow a few artifacts to intersect the researchers' silhouettes"
]
},
"mood": {
"id": "md",
"type": "unstable tension",
"purpose": [
"alert",
"abrasive",
"unresolved"
],
"cues": [
"body language: cautious forward lean, scanning, braced against wind",
"pacing: slow steps interrupted by sudden stillness",
"silence pressure: the sense something is about to slip again"
]
}
}
}
}
I use the API exclusively for everything - for many of the OpenAI models, not just imageGen. I have my own desktop software platform for Windows:
I had to design it keeping in mind that many customers would prefer simpler prompts. So I created hidden developer and instruction prompts for such things like HTML and RTF output formats; language translation rules, etc. I also implemented user defined picklist reuseable instruction prompts.
As the models progressed, so did the quality of the output, thus complex prompts became less neccessary over time. And today, customers can create great output with more simple prompts.
As for your prompt, I have to say that I have never seen anything like it. But you do create some outstsnding images. So you have a real mojo goin on.
Thank for the feedback. Glad to see another’s perspective on this.
My prompt strategy is an independent research I am currently doing to define a visual semantic for logic inference propagation. Fancy name, but has a purpose beyond guardrails. This is to guide the inference of visual reasoning at Level 1 and 2 with positive designed prompts and make safe and cool outputs.
If you noticed, my prompt does not have a single constraint nor a Boolean false.
And the imageGen API can (knows how) to consume your prompt? Please explain how.
Here are the API docs:
I pass this not as a JSON but in a more compact format like YAML or TOML as a string field for the prompt. One of the aspects that many forget is that these models are trained from “Natural Language” that includes also semantic structures found on texts. The models are more than capable to work with these, not as a code to image model, but as a semantic structure to image. But there’s the catch on how to prompt for this. And that’s what I’m researching, well part of it involves this.
This is a work in progress, but I’m expanding this. Want to do an awareness campaign. It’s a project that I’m using GPT Image 2 heavily. This is an use case where art is not the main aspect. But how GPT Image 2 can empower such ideas.
So-Called Keyboard Heroes — Awareness for safer online spaces
Deep Research Proposal
Online Keyboard Hero
Core campaign proposition: Ordinary is strong. Cruelty is not charisma. Screens do not erase consequences.
Executive Summary
“Online Keyboard Hero” can be built around a clear evidence-based insight: online stalking, harassment, and gaslighting are not fringe problems, but cruelty, surveillance, pile-ons, and reality-distortion are not inevitable parts of digital life. The strongest cross-study finding is that prevalence is high, definitions vary, and harms cluster most heavily around repeated contact, surveillance, sexualized abuse, doxxing, reputational damage, and coordinated attacks.[1]
The risk is not evenly distributed. Younger people, women facing sexualized abuse or stalking, LGBTQ+ people, disabled people, racialized minorities, and people with public visibility are repeatedly overrepresented in severe-harm categories.[2] The campaign therefore needs a universal moral frame - ordinary decency is strength - while still naming the groups and contexts where severe harm concentrates.
For campaign design, the most useful move is to stop treating all abuse as one thing. Rejected controllers, resentful avengers, intimacy seekers, entitled suitors, predatory sexual aggressors, sadistic/status trolls, coordinated brigaders, and workplace/institutional gaslighters differ in motive, escalation pathway, and appropriate response.[3] A one-size-fits-all “be kind online” message is too soft and too vague.
The strategic frame should not be be nicer. It should be ordinary is strong, cruelty is not impressive. The campaign should normalize low-friction digital bravery: pausing before pile-ons, refusing to forward humiliation, checking in privately, documenting safely, reporting accurately, and recognizing that persistence, surveillance, and reality-distortion are not romance, wit, or leadership.[4]
Scope and Evidence Base
This report uses online harassment as an umbrella term for insults, hate speech, humiliation, doxxing, non-consensual image sharing, threats, stalking, and coordinated attacks. Because studies count different behaviors over different time windows, figures should be read as directional within each study design, not directly interchangeable across countries.[5]
Online stalking / cyberstalking refers to repeated unwanted pursuit, surveillance, monitoring, or intrusion through digital tools, including messages, social media, GPS/location tracking, hidden cameras, stalkerware, fake accounts, and disclosure of private information.
Gaslighting is used narrowly: manipulation that causes a target to doubt their perceptions, experiences, memory, or understanding of events, usually within a power-laden relationship. The term should not be used for every disagreement, lie, or rude exchange.[6]
Prevalence and Patterns
The headline pattern is high prevalence, high variance, and clear concentration of severe harm around repeated, controlling, sexualized, and identity-based behaviors.
Prevalence Snapshot
| Population or region | Measure | Key figure | Context |
|---|---|---|---|
| Girls and young women across 22 countries | Personally experienced online harassment | 58% | Not a general-population estimate; especially useful for youth-facing awareness. |
| Women journalists globally | Online violence in the course of work | 73% | UNESCO also reports threats of physical and sexual violence in this profession. |
| U.S. adults | Ever experienced online harassment | 41% | Pew uses a broad but distinct measure; 25% reported severe behaviors. |
| U.S. adults | Lifetime online hate or harassment | 56% | ADL method differs from Pew; recent severe harassment rose from 18% in 2023 to 22% in 2024. |
| U.S. women and men | Lifetime stalking victimization | Women 22.5%; men 9.7% | CDC figures show a gender gap, while still recognizing male victims. |
| England and Wales | Stalking in the last year | 2.9% of adults | ONS reports long-term stability, but many cases involve online methods. |
| EU women | Cyberstalking | 8.5% | EIGE also reports online sexual harassment and intimate-partner location monitoring. |
| Australian adults | Any lifetime technology-facilitated abuse | 50% | ANROWS also reports perpetration and intimate-partner context figures. |
| Australian children aged 10-17 | Cyberbullying | 53% | Trans and gender-diverse children and teens were generally more at risk. |
| Gaslighting in IPV victim-survivor sample | Explicit gaslighting tactics | >85% | Important but not generalizable to population-wide or online-only prevalence. |
Intersectional Pattern Matrix
| Dimension | Evidence pattern | Unknowns / caution |
|---|---|---|
| Age | Younger adults and older teen girls are often at higher risk of online harassment and severe experiences. | Cross-national adult age gradients are limited. |
| Gender | Men may report slightly more harassment overall in some surveys, while women report more sexual harassment, stalking, and distress. | Many surveys still underreport or omit non-binary respondents. |
| Race and ethnicity | Black and Hispanic targets in U.S. surveys more often attribute harassment to race or ethnicity. | Cross-country categories are not directly comparable. |
| Sexual orientation and gender identity | LGB, LGBTQ+, trans, and gender-diverse people are repeatedly overrepresented in severe-harm categories. | Sample sizes and subgroup reporting vary. |
| Disability | Disabled adults and women with disability report higher exposure in U.S. and Australian datasets. | Global disability-disaggregated evidence remains scarce. |
| Socioeconomic status | Some youth evidence links lower household income with higher threat exposure. | Adult online stalking and gaslighting SES gradients are mostly unknown. |
| Public visibility / profession | Journalists, creators, academics, health communicators, and public-facing workers show high exposure. | Occupation-specific rates are fragmented. |
Typology and Composite Case Profiles
These are campaign recognition patterns, not diagnostic identities. A person can move across categories, and multiple patterns can operate at once.[7]
| Type | Recognition pattern | Typical motivation | Risk | Gender caution | Composite example |
|---|---|---|---|---|---|
| Rejected controller | Repeated messages, surveillance, block evasion, location-checking, mutual-contact pressure, and breakup gaslighting. | Reconciliation, revenge, or restored control. | High, especially after threats or prior violence. | Severe ex-intimate cyberstalking often skews male, but not exclusively. | A former partner sends new-account messages, tracks location sharing, denies the breakup, and contacts co-workers when ignored. |
| Resentful avenger | Threats, humiliation, rumor-spreading, doxxing, false accusations, and employer tagging. | Revenge for perceived humiliation or loss of status. | Medium-high to high. | No stable universal pattern; threat-heavy stalking samples often skew male. | After criticism, a user posts threads calling the target dangerous and leaks partial personal details. |
| Intimacy seeker | Persistent declarations of destiny, parasocial bonding, and multi-platform pursuit despite no relationship. | Imagined intimacy or connection. | Medium, sometimes extreme persistence. | Gender pattern is unclear; cases may involve isolation or delusional belief. | A stranger treats a creator’s public posts as private signals and comments on every post. |
| Entitled suitor | Repeated DMs, sexual comments, pressure for meetings, and ‘I was flattering you’ rationalization. | Perceived entitlement to attention or sexual access. | Medium; higher with workplace power or escalation. | Men are overrepresented in sexualized workplace harassment, but entitlement is not male-only. | A colleague keeps sending sexual jokes after work, ignores refusal, then calls the target oversensitive. |
| Predatory sexual aggressor | Covert surveillance, private-image gathering, threats of exposure, tracking, or preparation for assault. | Sexual coercion, domination, or assault preparation. | Very high. | Predatory stalker literature often reports male predominance. | A perpetrator maps routines, saves intimate material, and threatens release unless the target complies. |
| Sadistic/status troll | Baiting, dogwhistles, edited screenshots, humiliation, and ‘just joking’ cruelty. | Attention, amusement, dominance, or clout. | Low-medium individually; higher when repeated or networked. | Self-reported trolling often skews male and correlates with sadism/psychopathy measures. | A user posts sarcastic attacks to provoke replies, then mocks the target for reacting. |
| Coordinated ideological brigader | Mass-reporting, raids, group pile-ons, conspiracy framing, and multi-platform swarms. | Ideology, norm enforcement, group cohesion, or signaling. | High at scale. | Perpetrator gender may be mixed or unclear; targets often skew toward women and marginalized public figures. | A group frames the target as violating values, then floods DMs, replies, reports, and employer channels. |
| Workplace/institutional gaslighter | Trivialization, selective memory, shifting expectations, DARVO-like blame reversal, and public-private inconsistency. | Control, labor discipline, reputation management, or retaliation. | Medium-high psychologically and occupationally. | Gaslighting itself is not gender-exclusive; sexualized workplace harassment often skews male. | A supervisor approves a decision in chat, later denies it, and cites the employee’s confusion as poor judgment. |
Word-friendly relationship map
Ordinary bystanders can support targets by checking in privately, refusing pile-ons, documenting safely, and reporting accurately. Managers, moderators, platforms, and workplaces should enforce rules, support targets, and reduce the burden on the person being targeted.
Optional Mermaid diagram for Obsidian
flowchart LR
A[Ordinary bystander] -->|check in privately / document if safe / report accurately| B[Target]
A -->|refuse to pile on| C[Harasser]
D[Manager or moderator] -->|enforce rules| C
D -->|support and escalate| B
E[Public-facing worker] -->|may become| B
F[Platform or workplace] --> D
Responses Across Law, Platforms, and Workplaces
The best response model is a continuum: platform action for policy violations, workplace action for work-linked abuse, civil or criminal escalation for stalking and serious threats, and survivor-centered support throughout.[8]
Legal Framework Comparison
| Framework | Core coverage | Strength | Constraint |
|---|---|---|---|
| European Union | Directive (EU) 2024/1385 addresses violence against women and domestic violence, including cyberstalking, cyberharassment, and image-based abuse. | Strong recent regional framework. | Implementation depends on national transposition and enforcement. |
| United Kingdom | Online Safety Act duties and Ofcom women-and-girls guidance cover pile-ons, coercive control, image abuse, stalking, and misogyny. | Regulatory pressure on platforms plus existing harassment law. | Still operationalizing in practice. |
| United States | Federal cyberstalking law recognizes electronic and internet-enabled course-of-conduct stalking. | Clear federal recognition of online stalking. | State law patchwork affects enforcement. |
| Australia | Online Safety Act created adult cyber abuse pathways and strengthened online safety expectations. | Clear national complaint architecture. | Cross-border harms and slow platform enforcement remain difficult. |
| International labour standard | ILO Convention 190 recognizes violence and harassment linked with work, including gender-based violence. | Strong backbone for workplace policy. | Ratification and implementation vary. |
Platform Policy Comparison
| Platform | Clearly prohibited behavior | Campaign teaching point |
|---|---|---|
| Meta | Bullying, harassment, threats, fake accounts, and disclosure of personally identifying information. | Document if safe, report, block, and avoid engaging the spectacle. |
| X | Targeted harassment, abusive content, private information, non-consensual nudity, deceptive impersonation, and manipulated media. | Reports can come from posts, profiles, or DMs; patterns matter. |
| YouTube | Prolonged insults, threats, doxxing, and stricter protections for minors. | Creator-facing materials should cover comments, live chat, channels, and videos. |
| TikTok | Harassing, degrading, bullying, doxxing, hate speech, threats, and sexual exploitation. | Youth messaging should emphasize reporting the pattern, not only one clip. |
| Targeted attacks, intimidation, shaming, trolling, doxxing, and unwanted romantic or sexual advances. | Professional platforms are not abuse-free zones. | |
| Discord | Harassment, ban/block evasion, coordinated harassment, raids, doxxing, and threats. | Coordination itself can be a policy issue. |
| Privacy violations and non-consensual intimate or sexual media. | Strong fit for anti-doxxing and anti-image-abuse education. |
Prevention, Reporting, and Support
Preserve evidence if safe. Report the relevant content, account, profile, thread, or DM. Block or mute when useful. Escalate beyond the platform when stalking, doxxing, non-consensual imagery, or credible threats are involved. Workplaces should not wait for criminal thresholds before supporting a target or correcting a harmful pattern.
flowchart TD
A[Notice a pattern] --> B[Preserve evidence if safe]
B --> C{What kind of harm?}
C -->|Policy violation| D[Report content, account, or DM]
C -->|Work-linked abuse| E[Report to manager, HR, safeguarding, EEO, or trusted moderator]
C -->|Threat / stalking / doxxing / image abuse| F[Escalate to law enforcement or specialist route]
D --> G[Block, mute, tighten privacy settings]
E --> H[Request protective adjustments and investigation]
F --> I[Safety planning and specialist support]
G --> I
H --> I
Campaign Strategy for Online Keyboard Hero
The campaign proposition is: being ordinary online is a social strength, not a failure of charisma. Harassment should be framed as counterfeit power; ordinary restraint should be framed as maturity, self-control, and genuine status.
Persona-driven tactics
| Persona | Core barrier | Recommended tone | Primary call to action |
|---|---|---|---|
| The Scroll-By Ally | Thinks abuse is not their business or fears overreacting. | Calm, socially confident. | Pause. Don’t pile on. Check in privately. Report the pattern. |
| The Quiet Target | Self-doubt, shame, or confusion about whether a pattern counts. | Validating, precise, non-sensational. | If it repeats, controls, surveils, or makes you doubt reality, it matters. |
| The Irony Shield User | Frames cruelty as banter, flirting, wit, or internet culture. | Lightly witty but not contemptuous. | If the joke needs someone else’s distress, it isn’t sharp. It’s lazy. |
| The Public-Facing Professional | Feels harassment is the price of visibility. | Respectful and competence-affirming. | Visibility is not consent to abuse. |
| The Manager or Moderator | Unsure how to respond consistently or fears escalation. | Practical, procedural, authoritative. | Name the behavior, document, act early, and do not outsource the burden to the target. |
| The Boundary-Crossing Pursuer | Interprets persistence as romance, loyalty, or deserved access. | Clear, neutral, firm. | No reply is not a puzzle. No is not chemistry. Repetition is not respect. |
Message Architecture
- Precision. Name stalking, gaslighting, doxxing, tracking, rumor campaigns, non-consensual image abuse, and coordinated pile-ons specifically.
- Ordinary strength. Most people do not want cruelty normalized; restraint and non-amplification are real social courage.
- Bystander action. Show low-friction interventions that do not require public heroics.
Copy lines
- Ordinary is stronger than performative cruelty.
- Pause. Don’t pile on.
- Persistent is not romantic when it ignores a no.
- Human beats hero.
- Screens don’t erase consequences.
- No reply is not a puzzle.
Ethical Considerations and Campaign Risks
Conceptual overreach. Use gaslighting only for patterned reality-distortion and coercive self-doubt induction.
Accidental re-harassment. Do not replay abusive quotes, slurs, or threat language unless heavily redacted. Avoid turning correction into counter-pile-ons.
Victim burden. Do not make self-protection the only answer. Platforms, workplaces, moderators, and institutions must carry responsibility.
Gender simplification. Severe, sexualized, and controlling abuse often skews male in perpetration and female or marginalized in victimization, but credible evidence does not support framing all perpetrators as male or all victims as female.
Measurement and Evaluation
| Metric family | Example indicator | Why it matters |
|---|---|---|
| Awareness | Pre/post recognition of stalking, doxxing, gaslighting, and coordinated harassment scenarios. | Pattern recognition is the campaign’s first job. |
| Norm change | Agreement/disagreement with myths such as ‘persistent messaging is romantic’ or ‘online harm is not serious.’ | Attitudes can predict or normalize tech-facilitated harassment. |
| Bystander efficacy | Confidence checking in privately, documenting safely, reporting accurately, and refusing pile-ons. | Networked harm grows through ordinary participation and passivity. |
| Tool uptake | Reporting-guide clicks, privacy changes, block/mute use, and saved workplace kits. | Awareness is weak unless it changes behavior. |
| Institutional response | Case-resolution time, support satisfaction, manager/moderator training completion. | Institutions should carry prevention and response burden. |
| Equity impact | Reach and usefulness across age, gender, LGBTQ+ status, disability, race/ethnicity, and public visibility. | Harm is unevenly distributed. |
| Sentinel harms | Backlash, brigading, false-report spikes, and moderator load. | Campaigns can accidentally trigger the problem they oppose. |
Important caution: more reports are not automatically campaign failure. A successful awareness campaign may initially increase recognition, reporting, and help-seeking. Interpret report volume alongside recurrence, time-to-response, support satisfaction, and perceived safety.
Open Questions and Limitations
The main limitation is measurement fragmentation. Global general-population estimates for online stalking, targeted online harassment, and especially online gaslighting remain inconsistent. Intersectional detail is stronger for U.S. and Australian datasets than for many regions. Platform policies are more transparent than platform outcomes. Evidence on what campaign messaging works best is thinner than evidence on the harms themselves, so campaign recommendations here are reasoned inferences rather than randomized campaign-trial findings.
Are these soft or hard candy? or just jewels? Wonder about the taste 
Hah…I asked for beautiful and unique (that’s a word I use a lot in my prompts, because I have an eidetic memory and it feels like I’ve seen them all and that might help get some “uniqueness” to the outputs) and that’s what I got, don’t think those are for eating 
This is a concepts I made with DALL-E 3, maybe I should do the GPT Image 2 update.
Surprise! Cuteness overload incoming! Meet Bliss Bites! The Sweetest Personality Around!
Say hello to Bliss Bites, the most charming and endearing character you’ll ever encounter! This captivating candy isn’t just a treat, it’s a personality bursting with charm and endearment. Imagine a luxurious and intricate creation, as cute as can be and shrouded in a touch of playful mystery. With the ability to transform its texture, taste, and shape at will, Bliss Bites is like a magical friend, ever-changing and full of surprises. But one thing remains constant: the pure joy and happiness it embodies. Each interaction with Bliss Bites is a delightful adventure, leaving you with a taste of pure contentment and a smile that won’t fade. This isn’t just candy; it’s a personality you’ll fall in love with!
Meet the Star of the Show: Wow Gummy!
Inspired by this little adorable guy :wowgummy: ! Create an image of Wow Gummy, a magical candy spirit, in a 3D animation style that is charming and modern. Wow Gummy is at the center of an art studio with candy cane-striped walls and a glossy, icing-like floor. An iridescent, sugary mist swirls around him, turning objects into vibrant works of art. Canvases pulse with life, sculptures of crystallized sugar sparkle, and brushes create ripples of color in the air. Wow Gummy’s rainbow hues are brilliant, and from his mouth flows a stream of shimmering edible glitter, symbolizing inspiration. Artists in the room are joyfully creating, surrounded by the scent of sweet candy and the sound of laughter, embodying the theme of ‘a taste of pure happiness’ in a place where creativity is limitless.
Meet the Villain: Expired Sour Candy!
Craft a wide image of the Expired Sour Candy, reimagined to be less scary while still conveying its narrative. The sour candy should appear as a quirky, wrinkled candy with an exaggeratedly sour expression, with vibrant but slightly faded colors indicating its age. Instead of a dark and menacing presence, it should have a mischievous and cranky character, plotting to sour the candy kingdom in a more whimsical and less threatening manner. The candy kingdom should be a colorful and lively place, with other candies looking on with humorous expressions of mild annoyance or surprise at the sour candy’s antics. The scene should feel playful and light-hearted, with a storybook quality that makes the concept of the souring plot more amusing than alarming.
Meet the Villain: Caramel Creeper!
Visualize the Caramel Creeper, a sinister yet whimsical candy zombie with a body made of hard caramel. The creeper’s stretchy limbs should be elongated, reaching out across the scene as if to snatch up other candies. Its eyes should resemble burnt sugar, dark and glossy, adding to its eerie appearance. The mouth of the Caramel Creeper should be wide open, displaying an insatiable hunger. The texture of the caramel should appear hyper-realistic, sticky, and glistening, emphasizing the character’s undead, candy nature. The setting should be a candy-themed environment, with a playful yet slightly eerie ambiance that complements the mischievous character of the Caramel Creeper.
Meet the Villain: The Cotton Candy Concoction!
Illustrate a sinister and captivating scene featuring The Cotton Candy Concoction, which at first glance appears as an innocent, fluffy cloud of pink cotton candy. It should have a dark, swirling center that hints at its malevolent nature. This deceptive creature uses its alluring sweetness to entice victims, only to ensnare them in a sticky, suffocating web. The setting is an enchanted fairground, with bright colors and joyful elements contrasted sharply by the ominous presence of the Cotton Candy Concoction. The atmosphere should be whimsical yet eerie, with the cotton candy’s swirling dark center drawing the eye and indicating the danger it poses. The textures of the cotton candy should be hyper-realistic, emphasizing the contrast between its soft, appealing exterior and the threatening darkness within.
You asked for the single prediction that comes out of using the word “unique” in your prompt sequence!
“unique” alone delivers portal windowed houses…
From my earlier post of styles, grab 3 of 240, paste in any order - for a 1 in 13 million variation - only as unique as the uniqueness of what you send.
