Checkpoint // MIDNIGHT_NAI-XL_vPred
MIDNIGHT_NAI-XL_vPred (MDNT_NAI-XL_vPred as the shorthand alternative) is a specialized fine-tuning of the NoobAI-XL (NAI-XL) model, designed to enhance anatomical precision, compositional coherence, and versatile style integration.
Usage Recommendations
// VAE: To achieve optimal results with MIDNIGHT_NAI-XL_vPred, it's essential to load the appropriate Variational Autoencoder (VAE). This model is intentionally provided without a baked-in VAE to offer advanced users greater flexibility. Ensure that the sdxl_vae is correctly loaded to maximize compatibility. You can find the SDXL_VAE at Civitai or Hugging Face. Otherwise, use MDNT_NAI-XL_vPredV1_VAE, which has the VAE already baked in, eliminating the need for separate VAE loaders. No baked-in VAE for V2.
// Sampling Methods: MIDNIGHT_NAI-XL_vPred is optimized specifically for Euler (normal). Use ModelSamplingDiscrete with V-prediction and ZsNR set to true. Other samplers may not provide stable results, and V-prediction models do not support other samplers.
// Custom Workflow for comfyUI users: For an optimized generation process, consider using the custom workflow MIDNIGHT1111_Chasm 2025-02-05, which is also available on huggingface.co. This workflow is tailored to leverage the strengths of the NAI-XL_vPred model, providing a streamlined and efficient image generation pipeline.

Note: The above image is a preview of the MIDNIGHT1111_Chasm workflow.
CFG Scaling: Dynamic CFG Plugin is bypassed as a backup for potential future needs.
Manually adjust CFG scaling within a range of 3-4 for the best balance. For optimal results, a preferred setting of 3.5 is recommended.
Trigger Word Lists
To enhance the model's performance and specificity, the following trigger word lists are included:
- danbooru_character_webui.csv
These lists provide recognized tags for various artists and characters, facilitating more accurate and tailored image generation. Those can be also found noobai-xl-nai-xl-artist-wildcards-e621danbooru
How to Use
// Method I: reForge
1. Installation: If not already installed, follow the instructions in the reForge repository to set up.
2. Usage: Launch WebUI and use the model as usual.
// Method II: ComfyUI
1. Installation: Follow the setup instructions in the ComfyUI repository.
2. Workflow Sample: Utilize the provided ComfyUI workflow sample for guidance.
// Method III: WebUI
1. Installation: Follow the setup instructions in the WebUI repository.
2. Navigate to the WebUI Directory: Before updating or switching branches, ensure you're inside the stable-diffusion-webui folder
command:
cd stable-diffusion-webui3. Switch to the Development Branch: If you want to use the latest features from the development branch, run:
command:
git switch devgit pull⚠️ Note: The dev branch may contain bugs. If stability is your priority, it's best to stay on the main branch.
4. Update WebUI (Main or Dev Branch): To pull the latest updates while on either branch, run:
command:
git pull🔄 Restart WebUI after updating to apply changes.
5. Configuration: Ensure you're using a stable branch, as the dev branch may contain bugs.
// Acknowledgments
Special thanks to:
Development Team: Laxhar Lab
Coding Contributions: Euge
Community Support: Various contributors
// Additional Resources
Guidebook for NoobAI XL: English Version
Recommended LoRa List for NoobAI XL: Resource Link
// License
This model is licensed under the CreativeML Open RAIL++-M License. By using this model, you agree to the terms and conditions outlined in the license.
// Changelog
2025-02-07: Added VAE Baked-In Version:
For those who prefer a version with the VAE baked in, it is available MDNT_NAI-XL_vPredV1_VAE.
Availability on Hugging Face
This model is also available on Hugging Face for ease of access, packaged files, and verification of its original source:
🔗 Hugging Face - MidnightRunner/MIDNIGHT_NAI-XL_vPredV1
🔗 Hugging Face - MidnightRunner/MIDNIGHT_NAI-XL_vPredV2
Created by Magnabos.co | Creative Artist
2025 © Midnight1111
Description
Fine-tuned SDXL-based model utilizing the V-Prediction architecture, now available with a baked-in VAE.
FAQ
Comments (7)
holy this model is really good at 3D.
I don't know if this is a "problem" with all vpred models or just this one, but when resampling an upscaled image even 0.35 denoise will completely change the output. I have to use the same sampler settings and around a 0.2 denoise to match the hires workflow for regular models.
It's still really good :)
Sticking around ~0.18 denoise usually helps maintain consistency, and matching the sampler settings is definitely key. It’s not a bug, just how v-pred processes data more aggressively. The noise prediction is more dynamic, making outputs more reactive to small denoise changes.
Always stay what sampler: Euler Normal is your best chance.
Why is v2 further done in the model list than v1? Is v2 a worse version?
Possibility, v2 is a bit lighter in colors and accelerated. I noticed I’ve used v1 more.
@midnight1111 I see, thank you!
Can you put the prompts in your images examples please?
Details
Files
Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.





