🔥 FLUX.2 Klein 9B – High Stability 4-Step Workflow

Resolution-Adaptive LoRA + Dynamic Flux Sampling

This workflow is built for FLUX.2 Klein 9B BASE and optimized for:

• ⚡ 4-step generation (beta57 / euler compatible)

• 🎯 High identity fidelity

• 🧠 Resolution-adaptive LoRA balancing

• 🔄 Dynamic ModelSamplingFlux shift control

• 📐 Stable output across ~1MP–1.7MP presets

🧩 Key Features

✔ ResolutionMaster Integration
All width/height parameters are centrally controlled and synced across:

• Latent creation

• ModelSamplingFlux

• Dynamic math scaling

✔ Adaptive LoRA Strength (Auto-Scaling)
The third LoRA (anatomy/structure correction) dynamically adjusts strength based on resolution.
Prevents distortion at higher megapixels while preserving impact at ~1MP.

✔ Dynamic Flux Shift Control
ModelSamplingFlux max/base shift are driven by a math expression that:

• Normalizes behavior across presets

• Prevents over-shifting at larger resolutions

• Maintains stability in low step counts

✔ Reference-Latent Image2Image Mode
Supports strict identity locking with pose/environment flexibility.

📐 Optimized Resolution Presets

Designed around FLUX.2 Klein sweet spots:

• 1344×768 (16:9 sweet spot)

• 1024×1024 (1MP square)

• 896×1152 (portrait 1MP)

• 1312×1312 (~1.7MP HD stable ceiling)

⚙ Recommended Settings

• Steps: 4

• Sampler: beta57 (preferred) or euler

• CFGNorm enabled

• LoRA stack balanced at 0.5 / 1.0 / adaptive

🎯 Use Case

• Photorealistic portraits

• Identity-consistent image-to-image workflows

• Stable high-detail generation under low step counts

Built for performance, stability, and clean geometry.
No overcomplication — just controlled dynamics.