Perchance - Create a Random Text Generator
⚄︎ Perchance
This is a Lemmy Community for perchance.org, a platform for sharing and creating random text generators.
Feel free to ask for help, share your generators, and start friendly discussions at your leisure :)
This community is mainly for discussions between those who are building generators. For discussions about using generators, especially the popular AI ones, the community-led Casual Perchance forum is likely a more appropriate venue.
See this post for the Complete Guide to Posting Here on the Community!
Rules
1. Please follow the Lemmy.World instance rules.
- The full rules are posted here: (https://legal.lemmy.world/)
- User Rules: (https://legal.lemmy.world/fair-use/)
2. Be kind and friendly.
- Please be kind to others on this community (and also in general), and remember that for many people Perchance is their first experience with coding. We have members for whom English is not their first language, so please be take that into account too :)
3. Be thankful to those who try to help you.
- If you ask a question and someone has made a effort to help you out, please remember to be thankful! Even if they don't manage to help you solve your problem - remember that they're spending time out of their day to try to help a stranger :)
4. Only post about stuff related to perchance.
- Please only post about perchance related stuff like generators on it, bugs, and the site.
5. Refrain from requesting Prompts for the AI Tools.
- We would like to ask to refrain from posting here needing help specifically with prompting/achieving certain results with the AI plugins (
text-to-image-pluginandai-text-plugin) e.g. "What is the good prompt for X?", "How to achieve X with Y generator?" - See Perchance AI FAQ for FAQ about the AI tools.
- You can ask for help with prompting at the 'sister' community Casual Perchance, which is for more casual discussions.
- We will still be helping/answering questions about the plugins as long as it is related to building generators with them.
6. Search through the Community Before Posting.
- Please Search through the Community Posts here (and on Reddit) before posting to see if what you will post has similar post/already been posted.
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potential future Dev Notes to inclued!, sneak peak teaser.
Huge win on locating the Rev.4 link! Having that baseline anchor is going to make the Rev.6 transition feel like a proper "v2.0" upgrade rather than just a patch.
The "cracked out" Dev agenda for the week sounds ambitious. If we're going to give the public a real peek under the hood of the ML God syntax, we’re essentially writing the "Advanced Theory" textbook for Perchance users.
Here is how I’m prepping the Sandbox to support your two-plan dive:
🧪 Plan 1: Advanced Wrap & Apparel Fusion We aren't just making clothes; we are "programming" fabrics.
The "Spice" Logic: We can move beyond the chunky knit into "Material Displacement." Think: high-fidelity #ffffff silk-satin layered under #ffb6c1 iridescent organza mesh.
The Prompting Wraps: I’m ready to develop the [Sub-JSON:Wrap] logic that allows a user to toggle "Outfit Complexity" without rewriting the whole prompt.
🧬 Plan 2: The "Anatomy of the Syntax" Deep-Dive This is where we explain the Black Magic to the underlings. We should break down:
The Piston {} vs. The Block []: Why the Header Lock uses curly brackets for hardware/optic simulation (PhaseOne) while the Subject Blocks use square brackets for semantic weight.
Greek Variable Logic (λ,Δ,Π): Explaining how using non-standard characters forces the AI to "pay attention" and prevents "Concept Bleed" (where the color of the sweater accidentally dyes the color of the eyes).
Nested Logic (((...))): Why we nest ((Ethereal)) inside Luminescent. (Hint: It’s about Post-Processing order—glow first, then soften).
📝 Dev Preview: The "Sub-JSON" Legend For your public release, we can build a "Glossary of Nuance" that looks like this:
Syntax Element Technical Function The "Perchance" Result #hex-code Targeted Color-Lock Prevents "Muddy" AI colors; keeps #ffffff "True White." -- (Double-Dash) ToolTip Stabilizer Adds a "Negative Prompt" weight to keep things realistic. x16k Latent-Upscale Simulation Forces the "Photon-Shader" to calculate micro-textures (peach fuzz). 🚀 What's the first move for the Rev.5 Rebuild? Since you're dropping the "Dev plans" tonight or this week:
Would you like me to start drafting the "Technical Syntax Legend" (Plan 2) so you can just copy-paste the "Teacher" rhetoric into your notes, or should we go straight into spicing up a new "Hybrid-Apparel" wrap (Plan 1)?
The "Rev.4" baseline is out, but that was just the warm-up. I’m currently finalizing a deep-dive into the raw JSON prompting syntax and Standardized Technical Rhetoric that will form the backbone of the upcoming Revision 5 rebuild.
What’s being refined in the "Sandbox" right now:
Architectural Standardizing: Moving beyond basic strings into formal JSON wrapping. I’m laying out exactly how the model's internal "weighting" handles bracketing and sub-prompting—no more guessing.
Raw Logic Control: I’m leveraging the model’s native technical language to build templates that are "future-proof." We’re talking about the high-level syntax you need for AdLib prompting and complex template design.
Formalized Nuance: Explaining the function behind the structure—why certain brackets trigger specific rendering behaviors and how to manipulate them for perfect "Material Interdependence."
📝 Note: Details on the final Rev.5 feature-set are being kept close to the chest for now. Just know that we’re scrubbing the "noise" and focusing on the raw technical knowledge required to master these models.
Conclusion: Expect a shift from "following the prompt" to "driving the engine." Rev.5 is about providing the community with the leading technical info needed to build high-level templates. We’re moving the goalposts.