MIDNIGHT_NAI-XL_vPredV2 is a specialized second-tuning of the MIDNIGHT_NAI-XL_vPredV2 (NAI-XL) model, designed to enhance realistic precision, compositional coherence, and versatile style integration.

Usage Recommendations

Sampling Methods

MIDNIGHT_NAI-XL_vPredV2 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.

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.

Custom Workflow

For an optimized generation process, use the MIDNIGHT1111_Chasm 02-05-25 ComfyUI workflow.
This workflow is specifically designed to leverage the strengths of MIDNIGHT_NAI-XL_vPredV2, providing a streamlined and efficient image generation pipeline.

MIDNIGHT1111_Chasm

For an optimized generation process, consider using the custom workflow MIDNIGHT1111_Chasm 02-05-25. This workflow is tailored to leverage the strengths of the MIDNIGHT_NAI-XL_vPredV1 model, providing a streamlined and efficient image generation pipeline.

Note: The above image is a preview of the MIDNIGHT1111_Chasm workflow.

Method I: reForge without MIDNIGHT1111_Chasm Workflow

Installation: If not already installed, follow the instructions in the reForge repository to set up.
Usage: Launch WebUI and use the model as usual.

Method II: ComfyUI with MIDNIGHT1111_Chasm Workflow

Installation: Follow the setup instructions in the ComfyUI repository.
Workflow Sample: Utilize the provided ComfyUI workflow sample for guidance.

Method III: WebUI without MIDNIGHT1111_Chasm Workflow

Installation: Follow the instructions in the WebUI repository to set up.
Navigate to the WebUI Directory: Before updating or switching branches, ensure you're inside the stable-diffusion-webui folder command: |

cd stable-diffusion-webui
Switch to the Development Branch (Optional, for testing new features): If you want to use the latest features from the development branch, run: command: |

bash
1git switch dev 2git pull

⚠️ Note: The dev branch may contain bugs. If stability is your priority, it's best to stay on the main branch.
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."
Configuration: Ensure you're using a stable branch, as the dev branch may contain bugs.

Method IV: Diffusers without MIDNIGHT1111_Chasm Workflow

bash

import torch
from diffusers import StableDiffusionXLPipeline
from diffusers import EulerDiscreteScheduler

ckpt_path = "/path/to/model.safetensors"
pipe = StableDiffusionXLPipeline.from_single_file(
    ckpt_path,
    use_safetensors=True,
    torch_dtype=torch.float16,
)
scheduler_args = {"prediction_type": "v_prediction", "rescale_betas_zero_snr": True}
pipe.scheduler = EulerDiscreteScheduler.from_config(pipe.scheduler.config, **scheduler_args)
pipe.enable_xformers_memory_efficient_attention()
pipe = pipe.to("cuda")

prompt = """masterpiece, best quality,artist:john_kafka,artist:nixeu,artist:quasarcake, chromatic aberration, film grain, horror \(theme\), limited palette, x-shaped pupils, high contrast, color contrast, cold colors, arlecchino \(genshin impact\), black theme,  gritty, graphite \(medium\)"""
negative_prompt = "nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"

image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=832,
    height=1216,
    num_inference_steps=28,
    guidance_scale=5,
    generator=torch.Generator().manual_seed(42),
).images[0]

image.save("output.png")

e621/Danbooru Artist Wildcards for A1111 & ComfyUI Enclosed in CSV & TXT Formats

To enhance the model's performance and specificity, the following trigger word lists in CSV format are included:

These lists provide recognized tags for various artists and characters, facilitating more accurate and tailored image generation.

The wildcard file in 'TXT' format is included and designed for seamless integration with AUTOMATIC1111 and ComfyUI, optimized for dynamic prompt generation using artist data from e621 and Danbooru.

TXT Format: Sanitized artist tags by removing URLs and converted from .csv to .txt format for improved readability across different extensions.
Dual Dataset Support: Supports both e621 and Danbooru datasets to enhance art style diversity.
Smooth Randomization: Structured with trailing commas for seamless wildcard cycling during prompt generation.

How to Use Wildcards

For A1111

Install: stable-diffusion-webui-wildcards
Place the .txt file in:
/A1111/extensions/stable-diffusion-webui-wildcards
Use in your prompt like this:
__e621_artist_wildcard__, very awa, masterpiece, best quality, amazing quality

__danbooru_character_wildcard__, very awa, masterpiece, best quality, amazing quality

__e621_artist_wildcard__, __danbooru_character_wildcard__, very awa, masterpiece, best quality, amazing quality

For ComfyUI

Install: ComfyUI-Impact-Pack
Place the .txt file in:
/ComfyUI/custom_nodes/ComfyUI-Impact-Pack/wildcards
or
/ComfyUI/custom_nodes/ComfyUI-Impact-Pack/custom_wildcards
Use the wildcard node to trigger dynamic randomization in your workflows.

What’s Included in Wildcards

TXT formatted file containing clean, artist-focused wildcard files ready for dynamic prompt workflows in A1111 and ComfyUI.

Acknowledgments

Special thanks to:

Development Team: Laxhar Lab
Coding Contributions: Euge
e621/Danbooru Wildcards ipsylon0000
Community Support: Various contributors

Additional Resources

Guidebook for NoobAI XL: English Version
Recommended LoRa List for NoobAI XL: Resource Link
Fixing Black Images in ComfyUI on macOS (M1/M2): Read the Article
Creative Solutions and Services: Magnabos.co

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.

MidnightRunner/MIDNIGHT_NAI-XL_vPredV2

MIDNIGHT_NAI-XL_vPredV2

Model Description