Krea 2 Text-to-Image Workflows

Overview

Krea 2 is a 12B-parameter Diffusion Transformer from Krea.ai (released June 2026, weights open-sourced under the Krea 2 Community License, free commercial use up to 50 seats). Two variants:

1. Krea 2 Raw is the base checkpoint before extra post-training. For fine-tuning / maximum fidelity, more steps.
2. Krea 2 Turbo is post-trained and distilled; it generates in ~8 steps at cfg 1. This is what the krea2 txt2img packs ship.

Three packs (V2, no group toggles)

Sliced from the KREA2 ULTRA V2 monolith into standalone single-pipeline packs. Pick by how you prompt and what you want:

• krea2-txt2img-manual: plain prose prompt (the MANUAL PROMPT node).
• krea2-txt2img-json: Ideogram-4-style structured JSON / area prompting (Ideogram4PromptBuilderKJ).
• krea2-combo: two-pass detail boost, a first pass then a low-denoise refine (denoise 0.3), with the krea2 turbo LoRA @0.2 on both passes plus the optional IdeoKrea LoRA. JSON/Ideogram-style prompting; saves both passes to compare.

Each pack's one prompt source is active (no prompt-mode bypass to flip). ImageSharpenKJ runs before SaveImage. V2 adds the Krea2T-Enhancer MODEL detail-boost patch (ships active) and drops v1's ConditioningKrea2Rebalance. RBG_Smart_Seed_Variance ships bypassed (optional, see below).

Krea 2 has native ComfyUI support (comfy/text_encoders/krea2.py, ComfyUI ≥ v0.26.0). The CLIPLoader uses type=krea2, with a Qwen3-VL 4B text encoder and the Qwen image VAE. The Qwen3-VL encoder drives strong prompt adherence and structured-JSON prompts.

Models (all from the Aitrepreneur/FLX mirror; official: krea/Krea-2-Turbo)