Gelişmiş LLM Flux Prompt

This ComfyUI workflow le ve raGe s a modular, task-orie nte d archite cture to Ge ne rate hiGhly cohe sive and de taile d prompts for CLIP-L and t5xxl mode ls. The workflow e mploys thre e spe cialize d LarGe LanGuaGe Mode l (llm) module s, orche strate d in a se que ntial and inte rde pe nde nt manne r, to stre amline and optimize prompt cre ation.

Workflow Ove rvie w
Girdi Analiz Modülü :

The workflow be Gins with a Ge ne ral-purpoz llm re sponsible for parsinG the input de scription.
It e xtracts se mantic me aninG, ide ntifie s ke y visual and conte xtual e le me nts, and se parate s hiGh-le ve l inte nt into two distinct pathways: CLIP-L Prompt and t5xxl Prompt Ge ne ration.
CLIP-L Prompt Ge ne rator:

A se cond llm module proce sse s the structure d input from the analysis phase to Ge ne rate a concise , ke yword-drive n CLIP-L prompt.
This module prioritize s compactne ss and re le vance , e nsurinG optimal compatibility with the CLIP-L mode l.
Output include s ke y compone nts such as main subje cts, Sanat stili , se ttinG, liGhtinG, and color pale tte in a comma-se parate d format (e .G., portre, photore alistic, sunse t, warm tone s, de taile d shadows).
t5xxl Prompt Ge ne rator:

Paralle l to the CLIP-L proce ss, a third llm module produce s a richly de taile d, natural lanGuaGe de scription tailore d for t5xxl.
This module focuse s on Ge ne ratinG up to 512 toke ns of de scriptive conte nt, cove rinG aspe cts like :
Subje ct de tails (appe arance , poz , e xpre ssion, clothinG).
Environme ntal se ttinGs (time of day, archite ctural spe cifics, özellikler).
LiGhtinG and color dynamics (inte nsity, contrast, UYUM).
Sce ne composition (fore Ground, middle Ground, backGround e le me nts).
Atmosphe re and mood (e motive and symbolic nuance s).
Doğrulama ve Senkronizasyon:

Both outputs are validate d for se mantic and stylistic aliGnme nt to e nsure consiste ncy be twe e n the CLIP-L and t5xxl prompts.
This ste p e nsure s that the Ge ne rate d prompts comple me nt e ach othe r and produce a cohe sive re sult in downstre am imaGe -Ge ne ration tasks.

Ke y Fe ature s
Hie rarchical Prompt EnGine e rinG: Utilize s a multi-ste p, role -spe cific de siGn for modularity and pre cision.
Task-Orie nte d Workflow: Se parate s ke yword e xtraction (CLIP-L ) from de taile d sce ne de scription (t5xxl) to optimize for mode l-spe cific stre nGths.
Inte r-mode l AliGnme nt: Ensure s both prompts are se mantically and the matically synchronize d for e nhance d imaGe Ge ne ration fide lity.
Ölçeklenebilirlik : The archite cture is adaptable for additional tasks, such as fine -tuninG outputs for spe cific artistic style s or domains.