Prompts Image Image gen

Optimized Krea 2 Raw Workflow in ComfyUI

Prompt Edit here before copy/try — source content is unchanged

Use the following parameters to optimize the Krea 2 Raw model workflow:

1. VAE model: Krea2RealVAE_v10
2. Custom sigma curve (52 steps):
[1.0, 0.9998610615730286, 0.999726414680481, 0.9995642900466919, 0.9993669986724854, 0.9991275668144226, 0.9988381266593933, 0.9984902739524841, 0.9980743527412415, 0.9975794553756714, 0.9969935417175293, 0.9963024854660034, 0.9954909682273865, 0.9945411682128906, 0.9934334754943848, 0.9921457171440125, 0.9906527400016785, 0.9889267683029175, 0.9869365692138672, 0.9846469759941101, 0.9820191264152527, 0.9790093898773193, 0.9755693078041077, 0.9716446399688721, 0.9671754837036133, 0.9620949625968933, 0.9563290476799011, 0.9497957229614258, 0.9424043297767639, 0.9340547919273376, 0.9246373176574707, 0.9140312075614929, 0.9021060466766357, 0.8887166380882263, 0.8737011551856995, 0.8568810820579529, 0.8380584120750427, 0.8170154690742493, 0.7935121655464172, 0.767285168170929, 0.738045334815979, 0.7054751515388489, 0.6692277193069458, 0.628922164440155, 0.5841419696807861, 0.5344309210777283, 0.47928985953330994, 0.41817405819892883, 0.35048726201057434, 0.27557989954948425, 0.1927414834499359, 0.1011962965130806, 9.99165786197409e-05, 0.10373638570308685, 0.08949112892150879, 0.07677485048770905, 0.06537622958421707, 0.05511670187115669, 0.04584547504782677, 0.03743509575724602, 0.029777569696307182, 0.022781139239668846, 0.016367563977837563, 0.010469880886375904, 0.005030565429478884, 0.0]
3. Sampler: Use a single sampler
4. Refinement step: Use Bong Tangent scheduler with 0.2 denoise, 12 steps
5. Use negative prompt

The final step count can be adjusted as needed.

Uses the text above; some sites may auto-send

Usage & requirements

Import the custom sigma curve parameters into ComfyUI, adjust the sampling settings of Krea 2 Raw model to achieve sharper and more detailed images.

Tools: comfyui stable-diffusion
Variables: sigma_curve vae_model sampler denoise_strength step_count
Source: r/StableDiffusion ↗

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