VisualNote Extra Detailer XL (Style, Art Texture)

LORA
Original


Updated:

DPM++ samplers are recommended.

🔹 Karras vs Normal (Scheduler)

Normal (linear/exponential) = evenly distributes timesteps. Good enough, but less efficient.

Karras = clusters more steps near the end (low-noise region) → spends more effort refining tiny details → better for grain, freckles, pores, brush textures.

👉 Most people pair DPM++ 2M/3M SDE + Karras for realism + detail retention.

👉 If you want more “looseness” or organic look, use DPM++ 2S a (Karras) or even Euler a.

LoRA

Extra Detailer XL

strength:

0.1 (recommended)

0.2-0.6 (ok)

0.7 (experimental)

0.8-1.0 (Experimental Warning: over saturation, over highlighting, over taking styles, reducing/removing other LoRA styles and texture effects)

Recommended CFG:

Euler/Euler a:

3-7

DPM/DPM++ samplers:

3

2.5 - 3.5 (experimental)

2 - 4 (more experimental)

5 - ... (Experimental Warning: causes over saturation, over exaggerated weird details, over highlighting)

Euler/Euler a - good for Simple, Flat anime/illust styles but

Flattens/Removes Fine-Details

like art textures, textures for film effects, visual effects, traditional art medium, dust, fabric, hair, etc.

1.: Strengths

2.: Weaknesses

Euler a

Simple + ancestral noise

1. Fast, stylized, organic variation

2. Eats fine texture, less sharp, inconsistent

DPM2 a

2nd-order + noise

1. Sharper than Euler a, some variation

2. Outdated vs DPM++

DPM++ 2S a

2nd-order single-step + noise

1. Punchy, organic, slightly sharper than Euler a

2. Less stable at low steps

DPM++ 2M SDE

2nd-order multi-step SDE

1. Stable, detailed, great texture

2. Slightly slower, less random

DPM++ 3M SDE

3rd-order multi-step SDE

1. Maximum sharpness, photorealism, ultra-detail

2. Rigid, slower, less stylistic flexibility

Version Detail

Trained by Tensor
SDXL 1.0
3
SDXL scheduler recommendations: For Speed & Excellent Quality (Balanced): DPM++ 2M Karras: The go-to workhorse. Its optimized noise schedule (Karras) combined with a robust solver (DPM++ 2M) delivers high-fidelity results efficiently in a moderate number of steps (e.g., 20-30), making it a strong default for most uses. Euler A: Best for rapid ideation and exploration. Its stochastic nature adds subtle variation with each generation, even at low steps, allowing for quick iteration and discovering novel compositions. For Uncompromising Quality & Detail: DPM++ SDE Karras / DPM++ 3M SDE Karras (≈27 seconds): These are often considered the pinnacle for intricate detail and photorealism. Their stochastic differential equation (SDE) solvers introduce beneficial randomness, which helps the model explore richer details, often requiring slightly more steps (e.g., 30-50+) for full convergence but yielding superior texture and nuance. For Ultra-Fast Generation: UniPC (≈17 seconds): The champion for blazing speed and surprising quality at minimal steps (e.g., 10-15). It's designed to converge very quickly, making it ideal for real-time applications or when sheer output volume is prioritized over microscopic detail.

Project Permissions

Reprinting is strictly prohibited

    Use Permissions

  • Use in TENSOR Online

  • As a online training base model on TENSOR

  • Use without crediting me

  • Share merges of this model

  • Use different permissions on merges

    Commercial Use

  • Sell generated contents

  • Use on generation services

  • Sell this model or merges

Related Posts