Samplers & Schedulers

Learn about the sampler and scheduler options in Sogni

Samplers & Schedulers

Samplers control the denoising process — the sequence of steps that transforms random noise into your final image. Each sampler has its own way of removing noise, affecting sharpness, realism, color, and speed. Schedulers changes how those steps are distributed, further influencing the look and feel.

Available samplers vary by model type and processing mode:

• Flux / Chroma models: Euler, Euler a, DPM++ 2M.

• Stable Diffusion standard, XL, XL Turbo, and LCM models:

  • With Fast Supernet: DPM++ 2M, DPM++SDE, DPM++SDE, PNDM (Pseudo-linear multi-step), LCM (Latent Consistency Model), Euler, Euler a.

  • With Relaxed Supernet or on-device: DPM Solver Multistep (DPM-Solver++), PNDM (Pseudo-linear multi-step), LCM (Latent Consistency Model).

• SD3 models: Discrete Flow Sampler (SD3) only.

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Adjust your Scheduler settings in the Advanced tab

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Samplers for Flux / Chroma models

Euler – Simple Fastest, most stable default. Good balance of sharpness and mood. Recommended baseline for all Flux-family models.

Euler – Beta Warmer colors and slightly sharper micro-contrast. Popular with Chroma users.

Euler – Normal Similar to Simple but with a different noise decay curve. Works well for Chroma builds ≥ 0.18.

Euler – DDIM Adds extra punch to edges. Safe alternative to Simple/Beta.

DPM++ 2M – Beta Slower but the go-to for photorealism. Keeps skin clean and reduces “Flux face” artifacts.

Euler a – Simple / SGM Uniform (Experimental) Higher variation and motion blur for stylized/anime work. Requires the July 2025 ancestral-sampler patch.

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Samplers for Stable Diffusion standard, XL, XL Turbo, and LCM models

• DPM Solver Multistep (DPM-Solver++) – Reliable all-rounder for non-Flux models.

• PNDM (Pseudo-linear multi-step) – Uses PLMS without PRK steps.

• LCM (Latent Consistency Model) – Designed for LCM and SDXL-Turbo models; works best with 2–8 steps and low guidance (1–2).

• Discrete Flow Scheduler (SD3) – For rectified flow–based SD3 models only.

DPM++ SDE balances speed and stability by combining stochastic differential equation sampling with the efficiency of DPM++. It delivers smoother, higher-quality results across fewer steps, making it a top choice for both photorealism and stylized outputs, though generation may take longer.

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Schedulers

Control how steps are distributed:

• Linear, Leading, Karras, Simple, SGM Uniform, Beta, Normal, DDIM, KL Optimal

Schedulers can subtly change texture, detail, and smoothness. For SDXL models, Karras is the default — but for animations with a guide image, Linear or Leading can help prevent degradation.

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