Krea2PromptWeight Enhances Prompt Control
Ok_Twist_2950 · reddit · 2026-07-15
KJ nodes introduced a new Krea2PromptWeight node, serving as an alternative to the text encoder. It supports SDXL-like prompt weighting syntax, such as (word:1.2) for emphasis and (word:0.5) for de-emphasis, integrating the negpip logic for negative prompts directly into the main prompt.
In testing, the author found it significantly improves prompt control, though the default recommendation of cfg=1 isn't optimal. Setting cfg to 2 during the middle stages of generation (e.g., steps 3–6) yielded better results: applying it too early blurs the image, while applying it too late causes repetitive artifacts. When using this, you should connect an empty negative prompt box to the sampler and avoid using ConditioningZeroOut, otherwise adding cfg in later steps introduces noise.
The provided example configuration is: 10 steps, raw + turbo lora 0.75, euler / ddim uniform, with a recommendation to enable previews for fine-tuning the cfg window. Another tip is to directly use the new cfg override node in ComfyUI core to avoid chaining extra samplers.
More from coding & agent
- Devin Outposts aims to run AI agents on any machine, from Mac minis to Kubernetes clusters — blaizedsouza · 2026-07-22
- Hermes Agent Refactoring Proposal: Decoupling via Event Bus and Monorepo Slicing — Promptmethus · 2026-07-22
- ty now reads Pydantic config keywords and field metadata — charliermarsh · 2026-07-22
- Pensar Launches AI Security Agent to Autonomously Discover and Patch 0-Days — andriy_mulyar · 2026-07-22
- ty adds first-class Pydantic support, including strict and lax field handling — charliermarsh · 2026-07-22
- Google launches Gemini 3.5 Flash Cyber for CodeMender, with limited access for governments — GoogleAI · 2026-07-22