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Vete ┃ Crimson Oath ILL

Updated: Mar 29, 2026

base modelanimesemi real

Verified:

SafeTensor

Type

Checkpoint Merge

Stats

365

0

Reviews

Published

Mar 20, 2026

Base Model

Illustrious

Hash

AutoV2
A87D17F140
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Vetehine's Avatar

Vetehine

Home of this model

moescape.ai is the primary home of this model and a broader collection of additional models. Many of these releases are exclusive to this platform and are not available elsewhere.
More information and related work can be found on my homepage: Ozia.

Creator: Vetehine

Discord: Vetehine

Linktree: https://linktr.ee/Vetehine


Support

Tips help keep me going and allow me to create even better models and LoRAs for the community. Even small support makes a difference.


Please let me know what you think about this Model in the comments.


πŸ“‹ Usage Guidelines

βœ… Merge Friendly: You are free to use this model in your own merges and creative projects.

❌ Commercial Use: Do not resell this model or sell direct merges of it as paid content.

🀝 Credit: Credit is not required, but it is appreciated.


Vete ┃ Crimson Oath ILL is a semi-realistic character model built around controlled contrast, cinematic lighting, and emotionally charged atmospheres. It focuses on realism with stylized polish, blending soft facial structure with sharp material definition and deliberate light placement. The result is a model that feels grounded, intimate, and dramatic without drifting into anime or exaggerated stylization.

This model excels in low-light and mixed-light environments. Shadows are deep but readable, preserving form instead of crushing detail. Highlights are clean and intentional, wrapping naturally around skin, hair, fabric, and reflective surfaces. Skin rendering remains smooth and lifelike, avoiding plastic or waxy artifacts, while still holding a subtle glow under directional or ambient lighting. Eyes retain clarity and depth even in darker scenes, with controlled luminance rather than artificial glow.

Crimson Oath is not color-locked or red-biased, despite its name. While it performs beautifully with warm, crimson, and candlelit palettes, it is equally stable with cool blues, neutral whites, night city lighting, and soft daylight. Whites remain clean, blacks stay rich and stable, and midtones transition smoothly without banding or color bleed.

Material rendering is a core strength. Leather, lace, metal, glass, smoke, fabric, and skin all maintain clear separation. Jewelry and metallic accents catch light precisely without overpowering the scene. Hair stays well-defined with natural shine and strand separation, even under harsh rim light or low-key setups.

Stylistically, Crimson Oath supports a wide emotional range: dark romance, sacred and profane aesthetics, gothic interiors, modern night scenes, ritualistic or symbolic imagery, and intimate portrait work. It is equally effective for cinematic compositions and close-up character studies, maintaining structure and clarity across framing styles.

This model is stable enough to be used as-is for finished artwork, but it is also engineered to merge cleanly. As a merge component, it adds contrast discipline, light control, material realism, and emotional weight to other semi-realistic bases without overpowering them.

Crimson Oath is intentional, controlled, and expressive. It is designed for creators who want atmosphere without noise, darkness without loss of detail, and realism that still carries mood and presence.


β€œAdetailer ensures cleaner, more accurate faces and eyes.”


AI Image Generation Settings Guide

https://moescape.ai/posts/ai-image-generation-settings-guide


Recommended Settings -

Clip Skip - 2

DPM++ 2M Karras

Sampling Steps - 25-50 (Recommended: 37 Steps)

Cfg - 6-7


Recommended Settings -

Clip Skip - 2

Euler Ancestral (Recommended: 30 Steps)

Sampling Steps - 25-35

Cfg - 6-7


Recommended Settings -

Clip Skip - 2

Restart

Sampling Steps - (Recommended: 66 Steps)

Cfg - 6-7


Hires-

R-ESRGAN 4x+ Anime6B, 4x-AnimeSharp

Steps 10 - 20

Denoising 0.2 - 0.3


Legal & Usage Disclaimer

By accessing, using, generating with, or merging this model, you agree to these terms in full, regardless of whether you have read or acknowledged this notice.

This model is provided β€œas is,” without any warranties, express or implied, including but not limited to fitness for a particular purpose, legality of outputs, or compliance with platform policies.

Under no circumstances shall the author be held liable for any direct, indirect, incidental, consequential, special, or exemplary damages arising from or related to the use, misuse, or inability to use this model. This includes, without limitation, any content generated, modified, merged, distributed, or otherwise produced through the model, as well as any loss of data, loss of profits, reputational harm, legal claims, or third-party disputes resulting from such use.

This limitation of liability applies to all uses of the model, including but not limited to merging, fine-tuning, redistribution, or integration into other works or systems.

You are solely responsible for ensuring that your use complies with all applicable laws, regulations, and platform guidelines.

This disclaimer applies to all Vetehine models and LoRAs, whether or not this notice is explicitly included with a specific model or release.