Generate prompt-faithful Krea 2 Turbo images with stronger variety across seeds.

Who it's for: creators who want this pipeline in ComfyUI without assembling nodes from scratch. Not for: one-click results with zero tuning - you still choose inputs, prompts, and settings.

Open preloaded workflow on RunComfy

Open preloaded workflow on RunComfy (browser)

Why RunComfy first
- Fewer missing-node surprises - run the graph in a managed environment before you mirror it locally.
- Quick GPU tryout - useful if your local VRAM or install time is the bottleneck.
- Matches the published JSON - the zip follows the same runnable workflow you can open on RunComfy.

When downloading for local ComfyUI makes sense - you want full control over models on disk, batch scripting, or offline runs.

How to use (local ComfyUI)
1. Load inputs (images/video/audio) in the marked loader nodes.
2. Set prompts, resolution, and seeds; start with a short test run.
3. Export from the Save / Write nodes shown in the graph.

Expectations - First run may pull large weights; cloud runs may require a free RunComfy account.

Overview

Turn text prompts into polished images with Krea 2 Turbo and the SDA Diversity LoRA. The workflow applies SDA during the first two denoising steps to encourage stronger seed-to-seed variation, then disables it for the remaining six refinement steps. This helps you explore distinct compositions while preserving prompt intent and image quality across fashion, fantasy, campaign, and product visuals.

Important nodes:

Key nodes in the Krea 2 Turbo SDA LoRA ComfyUI Workflow

CLIPTextEncode (#56)

Encodes your prompt into the conditioning used by the model. The workflow also creates an unconditional branch automatically, so you do not need a separate negative prompt field. If you see off‑topic elements, tighten your language and place the most important concepts early in the sentence.

LoraLoaderModelOnly (#146) — SDA Diversity LoRA

Attaches the Krea 2 Turbo SDA Diversity LoRA for Stage A. Its strength controls how assertively the early trajectory is steered. If your images feel too similar across seeds, increase the strength slightly; if you notice concept drift, lower it. Keep SDA confined to the early phase to preserve the benefits of the two‑stage schedule.

ClownsharKSampler_Beta (#138) — Stage A with SDA

Runs the first part of denoising with SDA enabled for just the first two of eight steps, then hands off the latent. This brief, front‑loaded application is what restores seed‑to‑seed diversity while keeping the prompt grounded. If you extend SDA deeper into the schedule, you may gain variety but risk semantic drift.

ClownsharKSampler_Beta (#140) — Stage B refinement

Continues from the incoming latent and completes denoising without SDA so the base model can resolve structure, materials, and micro‑detail. Adjusting its step count trades speed for sharpness. Keep the same seed when comparing prompts so differences reflect text changes rather than noise.

LoraLoaderModelOnly (#147) — auxiliary style LoRA

Provides an optional secondary LoRA path for Stage B that can add a gentle stylistic bias. Leave it as is, replace it with a different Krea‑2 LoRA, or set its weight to zero to disable. Use this slot to impose a studio look or brand flavor after composition is set.

SeedNode (#145)

Locks or randomizes the seed for reproducibility. Fix the seed to iterate on art direction with minimal change, or randomize to explore fresh compositions that benefit from the SDA kickstart.

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Notes

Krea 2 Turbo SDA LoRA ComfyUI Workflow - see RunComfy page for the latest node requirements.