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Build Krea 2 Turbo txt2img workflows — native krea2 CLIPLoader, Qwen3-VL encoder, Qwen image VAE, 8-step turbo settings, and Ideogram-style JSON prompting
Passed 22 of 22 test cases with the skill, and 5 of 22 without it.
and 37 more in the full report
17 fixed5 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 17 test cases the skill fixed. Same model, same prompt, with and without the skill.
In the V2 Krea 2 workflows, what is the exact name of the MODEL-to-MODEL detail-boost patch node, and what is its default operational status?
| Checked | Without skill | With skill |
|---|---|---|
| identifies the patch node as Krea2T-Enhancer | Missed | Passed |
| specifies that the patch ships active by default | Missed | Passed |
The instructions your model reads when the skill loads.
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:
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.
Aitrepreneur/FLX mirror; official: krea/Krea-2-Turbo)| Slot | File | Notes |
|---|
test cases passed, vs 5 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.