RR∆S®MinoriMirari®.Prod

  • 6 Posts
  • 310 Comments
Joined 1 年前
Cake day: 2024年12月14日
  • RR∆S®MinoriMirari®.Prod@lemmy.worldBanned from communitytoPerchance - Create a Random Text Generator@lemmy.world•Where is the "negative prompt" in the ai-text-to-image-generator?English
    11·
    28 天前

    technically negatives should go in first, because negation is suppose to preload, before the rest of the prompt… Im working on within my formula blocka advanced negation logics, at the moment Gemini and few others tipped me off that the Archaic F fire trigger/reinitialization functions will come handy for Klein, been along while since I leveraged them, an essentially because Klein runs so fast It makes data tabling sorta powerful as far as super distillation is concerned anway… Hard to explaon why reinitialization operations are of much help here maybe because you can basically run the data into post and then re fire it ig… although what makes Klein great for this makes it “atm” the majority of tactical formula compartmentalization decapartum phasing “all formula formatting considered to be tactical like that originally previewed and concept with TF∅X formula formatting/&series, are basically extremely touchy, if not compete broke for the most part, if just broke AF it’s because Klein has the heaviest load specified sampling sub routines ever conceived” It basickly has some low level compartmentalization of its raw data tables, ontop of already having specific prior flux.1 Sampling Auto blending over blend autonomous blending routines.

  • RR∆S®MinoriMirari®.Prod@lemmy.worldBanned from communitytoPerchance - Create a Random Text Generator@lemmy.world•Please switch back to the old design!English
    03·
    29 天前

    If you mean Perchance OFC T2i plugin’s GAi core modeling and networking,… Its, because “Perchance COs, main dev, and even myself “Assistant Dev” can see that when it comes to an efficient model vs the prior, all changes are made to cap the cost of Ai image generation, the single most expensive system too operate here on Perchance – is the T2i plugin”… The current new model of 2026 is not fairly much diffrent from the prior Schell/Chroma/Dev mixed multimodal/Perchance customs flux.1 networking of core modeling, now on “Klein, flux.2 networking, Klein is part of the new era of super distillation models, while being technical prompting stteam‐lined”. The new model, it is quite literally the most quality efficient model to date, & manages to be built to throw more resource to mid ground if being technical prompt prodded, future potential also hints at it being extremely well equip for tool building, plus leveraging of LoRa sub modeling, possibly later formalizations of sub modality and user capable loading and off loading of training data…ect. At the moment to some, I’d say few… It may seem like complete garbage, or a literal direct downgrading of our prior customs,… particularly because it handles as if It’s nearly the same model…, It is not, and moving forward, that and users actually studying up on siht will realise “that it is actually possibly ¿A better model?”. With time and good practice I’am betting the new model will prove to be “Yes better”…

  • RR∆S®MinoriMirari®.Prod@lemmy.worldBanned from communitytoPerchance - Create a Random Text Generator@lemmy.world•[BUG] PLEASE FIX THE BLANK WHITE BACKGROUND BEHIND IMAGES.English
    11·
    1 个月前

    There is no way to fully 100% avoid them, although is ways to get them down to the lowest potential of resource slags. Aka new model has prebaked focuses that drop the resource load randomly by simply 1. The unavoidable slagging that occurs every so many gens and likely more often during high traffic hours, The hypothetical work around for these meaning they are possibly avoidable, but not on this gen, If you created A multiple generative run on image handles and hand offs, then is multiple ways to handle that specific issue, and slagging itself would become less an element is missing issue, and more a quality or stabilized blending spikes and dips, any of allat though requires the most difficult JS coding procedures for image gen. 2. make sure you define a pos and pov in a form that denotes framing ect, also more dynamic scenes, or also added that defining forground and background helps number it down. 3. If you have difficulty with the former It’s likely because you have over loaded casual Prompting non technical limitations, you can try leveraging a formula block to help with this, Lastly that and or studying technical Prompting formalisms the prior techniques of Latent‐Space and algorithmic system blocks “formula” is collectively called technical Prompting formulism, and coniquely the two represent 2 halfs of a whole that is all of prompting ideologies and share a center pie of concepts that affects both which is called technical prompts and formatting.

    Tip: to learn the ladder’s leveraging an LLM like Gemini can make breaking down the bulk of information and things related too overall formatting. A preamble convo shared convo or any pre-preparation of LM stating of the LLM as a side note: offers you a more focused less hallucinated hit and miss approach to technical prompting, you can pick up perchance OFC T2i JSON/&Dev notes with onboard pre-preparations of gemini convo. latest OFC sheets rev.4 !.

    " just go to /add, and then visit chat room #1+u:info1 " Check out this chat room if on main public image gen https://perchance.org/ai-text-to-image-generator ^Link to main public image gen.

    Link to Lemmy World post where Dev notes are kept along with varies links to other T2i related posting and resources! https://lemmy.world/post/43127973