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---
language:
- en
license: other
license_name: fair-ai-public-license-1.0-sd
license_link: https://freedevproject.org/faipl-1.0-sd/
base_model:
- Laxhar/noobai-XL-Vpred-1.0
- MidnightRunner/MIDNIGHT_NAI-XL_vPredV1
- RedRayz/hikari_noob_v-pred_1.2.1
- motimalu/kirazuri-lazuli-noobai-xl-vpred-2.0
- motimalu/kirazuri-lazuli-noobai-xl-vpred
- John6666/wai-shuffle-noob-vpred20-sdxl
- cyberdelia/CyberRealisticXL
pipeline_tag: text-to-image
library_name: diffusers
tags:
- safetensors
- diffusers
- stable-diffusion
- stable-diffusion-xl
- merge
---
<style>
.container {
display: flex;
gap: 2rem;
align-items: flex-start;
}
.image-wrapper,
.details {
flex: 1 1 50%;
}
.image-wrapper {
display: flex;
justify-content: center;
align-items: center;
}
.model-image {
width: 100%;
max-width: 500px;
min-width: 300px;
border-radius: 8px;
box-shadow: 0 8px 20px rgba(0, 0, 0, 0.3);
}
.details h1 {
margin-top: 0;
font-size: 2rem;
color: #fff;
}
.details .description {
margin: 0.5rem 0 1.5rem;
line-height: 1.5;
color: #ccc;
}
.features-list {
list-style: none;
padding: 0;
margin: 0 0 1.5rem;
}
.features-list li {
display: flex;
align-items: center;
margin-bottom: 0.5rem;
font-size: 1rem;
color: #fff;
}
.features-list .icon {
margin-right: 0.6rem;
font-size: 1.2rem;
}
.badge-list {
list-style: none;
padding: 0;
margin: 0;
display: flex;
flex-wrap: wrap;
row-gap: 0.25rem;
column-gap: 0.5rem;
}
.badge-list li {
margin: 0;
}
.badge-btn {
display: inline-flex;
align-items: center;
height: 28px;
padding: 0 10px;
font-size: 14px;
font-weight: 500;
color: #fff;
text-decoration: none;
border-radius: 4px;
white-space: nowrap;
transition: opacity 0.2s, transform 0.1s;
}
.badge-btn .btn-icon {
width: 16px;
height: 16px;
margin-right: 6px;
}
.badge-btn:hover {
opacity: 0.85;
transform: translateY(-1px);
}
.badge-btn.civitai {
background-color: #2975fa8d;
}
.badge-btn.hf {
background-color: #ff66008d;
}
@media (max-width: 700px) {
.container {
flex-direction: column;
align-items: center;
}
.image-wrapper,
.details {
flex: unset;
width: 100%;
}
.model-image {
width: 90%;
max-width: 500px;
min-width: auto;
margin-bottom: 1rem;
}
}
</style>
<div class="container">
<div class="image-wrapper">
<img
src="https://huggingface.co/rityak/NAI-X-vpred/resolve/main/naix_00002_.png"
alt="NAI-X Example"
class="model-image"
/>
</div>
<div class="details">
<h1>NAI‑X v2.0</h1>
<p class="description">
Refined and more stable version of <strong>NoobAI‑XL V‑Pred</strong>, delivering
predictable, consistent results even with simple or dark prompts.
</p>
<ul class="features-list">
<li><span class="icon">🛠️</span><strong>Improved prompt tolerance</strong></li>
<li><span class="icon">🎨</span><strong>Enhanced color & lighting balance</strong></li>
<li><span class="icon">📐</span><strong>Stable anatomy & layout</strong></li>
<li><span class="icon">🔄</span><strong>Faithful to original V‑Pred</strong></li>
</ul>
<ul class="badge-list">
<li>
<a
href="https://civitai.com/models/1804251/nai-x-v20-vanilla-like-noob"
target="_blank"
class="badge-btn civitai"
>
<img
src="https://civitai.com/favicon-blue.ico"
alt="CivitAI"
class="btn-icon"
/>
View on CivitAI
</a>
</li>
<li>
<a
href="https://huggingface.co/rityak/NAI-X-vpred/resolve/main/NAIX-v20_vpred.safetensors?download=true"
target="_blank"
class="badge-btn hf"
>
<img
src="https://huggingface.co/front/assets/huggingface_logo-noborder.svg"
alt="Hugging Face"
class="btn-icon"
/>
Download NAI‑X v2.0
</a>
</li>
<li>
<a
href="https://huggingface.co/rityak/NAI-X-vpred/resolve/main/NAI-X-soft-vpred.safetensors?download=true"
target="_blank"
class="badge-btn hf"
>
<img
src="https://huggingface.co/front/assets/huggingface_logo-noborder.svg"
alt="Hugging Face"
class="btn-icon"
/>
Download NAI‑X‑soft (v1.0‑soft)
</a>
</li>
<li>
<a
href="https://huggingface.co/rityak/NAI-X-vpred/resolve/main/NAI-X-zero-vpred.safetensors?download=true"
target="_blank"
class="badge-btn hf"
>
<img
src="https://huggingface.co/front/assets/huggingface_logo-noborder.svg"
alt="Hugging Face"
class="btn-icon"
/>
Download NAI‑X‑zero (v1.0‑zero)
</a>
</li>
</ul>
</div>
</div>
---
## Model Variants
- **[NAI-X v2.0](https://huggingface.co/rityak/NAI-X-vpred/resolve/main/NAIX-v20_vpred.safetensors?download=true)**
The latest and most balanced version. Closely aligned with the original V-Pred base, but cleaner, more stable, and easier to use. Built using a simplified merging recipe for better prompt robustness and visual quality.
- **[NAI-X-soft (v1.0-soft)](https://huggingface.co/rityak/NAI-X-vpred/resolve/main/NAI-X-soft-vpred.safetensors?download=true)**
A light refinement of NoobAI-XL V-Pred. Focuses on composition, anatomy, and color improvements while keeping all original tokens and tag behavior intact.
- **[NAI-X-zero (v1.0-zero)](https://huggingface.co/rityak/NAI-X-vpred/resolve/main/NAI-X-zero-vpred.safetensors?download=true)**
A stronger, more expressive variant. Adds LoRA DPO and deeper changes in rendering logic. Sharper detail and stronger prompt influence, especially on faces and backgrounds.
---
## Recommended Settings
To get the best results from **NAI-X**, use the parameters below. These match the internal design of **V-Prediction** models and avoid issues caused by incompatible samplers or configurations.
### 🧪 Inference Parameters
| Setting | Recommended Value |
|-------------------|------------------------------------------|
| **CFG Scale** | 4 ~ 5 |
| **Steps** | 28 ~ 35 |
| **Sampler** | `Euler` (⚠️ Other samplers may break) |
| **Resolution** | Target ~1024x1024 total area |
| | Examples: `768x1344`, `832x1216`, `896x1152`, `1024x1024`, `1152x896`, `1216x832`, `1344x768` |
---
### 🧾 Prompt Structure
**Prompt Prefix (positive):**
```text
masterpiece, best quality, newest, absurdres, highres, safe,
````
**Negative Prompt:**
```text
nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro
```
---
## Prompting Guidelines
### 🏷️ Tag Categories
Structure your prompt using meaningful tag layers:
```
<1girl/1boy/...>, <character name>, <series>, <artist>, <special tags>, <general tags>, <composition/color tags>
```
### 🎯 Quality Tags
|Percentile|Tag|
|---|---|
|> 95th|`masterpiece`|
|85–95th|`best quality`|
|60–85th|`good quality`|
|30–60th|`normal quality`|
|< 30th|`worst quality`|
These are based on normalized image popularity and recency-weighted ratings.
### 🎨 Aesthetic Tags
- `very awa` — top 5% by aesthetic score (waifu-scorer, aesthetic-shadow-v2)
- `worst aesthetic` — bottom 5%, avoid unless stylistically intended
### 🕒 Date Tags
Use these to match art periods and styles:
| Year Range | Tag |
| ---------- | -------- |
| 2005–2010 | `old` |
| 2011–2014 | `early` |
| 2014–2017 | `mid` |
| 2018–2020 | `recent` |
| 2021–2024 | `newest` |
---
## Prompting Tip
> For dramatic or dark scenes:
> Add `low key lighting`, `night`, `dark`, `moody`, `candlelight`, or `backlight` to enhance contrast and depth without breaking the model.
---
## Recipe NAI-X v2
```
version 0.1.0
model "NAI\\vpred\\noobai-vpred-kirazuri-lazuli-1.1.safetensors" model_config="sdxl-sgm" merge_space="weight"
model "NAI\\vpred\\kirazuriLazuliNoobaiV_v20NoobaiVPred1.safetensors" model_config="sdxl-sgm" merge_space="weight"
model "NAI\\vpred\\hikariNoobVPred_121.safetensors" model_config="sdxl-sgm" merge_space="weight"
model "NAI\\vpred\\MIDNIGHT_NAI-XL_vPredV1_Baked_VAE.safetensors" model_config="sdxl-sgm" merge_space="weight"
model "NAI\\vpred\\NoobAI-XL-Vpred-v1.0.safetensors" model_config="sdxl-sgm" merge_space="weight"
merge "karcher_mean" &0 &1 &2 &3 &4 max_iter=30.000000000000007 tol="3e-06" alphas="0.22, 0.12, 0.22, 0.22, 0.22"
```
> **Karcher mean** (Riemannian center of mass): a generalization of the arithmetic mean to curved spaces (Riemannian manifolds), finding the point that minimizes the sum of squared Riemannian distances to all checkpoints.
---
## Recipe NAI-X v1
***NAI-X-base**
```
model "[NAI]\NoobAI-XL-Vpred-v1.0.safetensors" "sdxl" "base"
model "[NAI]\hikariNoobVPred_121.safetensors" "sdxl" "base"
merge "subtract" &1 &0
model "[NAI]\waiSHUFFLENOOB_vPred20.safetensors" "sdxl" "base"
merge "subtract" &3 &0
merge "ties_sum" &2 &4 k=0.10000000000000002 vote_sgn=0.0
merge "add_difference" &0 &5 alpha=0.5000000000000001
model "[SDXL]\cyberrealisticXL_v53.safetensors" "sdxl" "base"
model "[SDXL]\sd_xl_base_1.0_0.9vae.safetensors" "sdxl" "base"
merge "subtract" &7 &8
merge "add_difference" &6 &9 alpha=1.0000000000000002
dict sdxl_txt2_default=0.0 sdxl_unet_default=1.0000000000000002 sdxl_txt_default=0.0
merge "clamp" &10 &0 &1 &3 stiffness=&11
```
**NAI-X-zero**
```
add lora DPO
```
**NAI-X-soft**
```
A NoobAI-XL-Vpred-v1.0.safetensors
B NAI-X-zero
clip
dare-ties(sum) + clerp
ratio 0.75 drop 0.25 iterations 3
u-net
MBW [1,1,0,0,0,0,0.2,0.4,0.6,0.8,1,1,1,1,1,1,1,1,1,1,1,1,1]
``` |