AI Image Prompt Tip

2026-06-17

Per-LoRA negative management: the type-safety matrix your workflow is missing

Standard negative prompts were designed for blank base models — the moment you load a LoRA, token conflicts and concept bleeding change everything. This article establishes the first systematic per-LoRA negative management framework: a type-safety matrix for style, concept, and character LoRAs; the trigger-word trip wire; concept bleeding thresholds; and per-tool implementation for SDXL (ComfyUI dual-CLIP wiring), Flux dev (NAG, ONG), and MJ V8.1 (--no mechanics and limits).

AI Image Prompt Tip

The gobo cue: make AI light break into leaf-shaped shadows

Negative fill: the black-flag phrase that gives AI portraits real shadow shape

Flux Klein: lock KSampler at 4 steps

Anatomy negatives by body part

Framing density: how to control empty vs filled space across MJ V8.1, Flux Dev, SDXL, and SD3.5

HDR and tone-mapping vocabulary: what actually works across MJ V8.1, Flux Dev, SDXL, and SD3

SDXL sampler × scheduler: the pairing matrix that actually matters

Schedule your negative prompts by denoising step — not just by token

Camera perspective vocabulary for AI image gen: what works, what doesn't, and what to say instead

Studio light modifier names: which ones work as AI prompt tokens (and what to say instead)

SDXL ControlNet: strength + guidance timing

Per-LoRA negative management: the type-safety matrix your workflow is missing