Vetehine┃ Moonlace ILL & ANM (Anime Coloring)

作者：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. 📋 Usage Guidelines ✅ 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. Home of soft anime purity and clean screencap aesthetic This model is pushed to stay as close as possible to true anime coloring, anime screencap look, and classic anime style Focused on soft shading, clean linework, and natural color harmony without overprocessing New version is very sensitive to tags, especially: anime_style, anime_coloring, anime_screencap Using those correctly will strongly define the output quality and direction Best results come from simple, clean prompts rather than overloading AI Image Generation Settings Guide https://moescape.ai/posts/ai-image-generation-settings-guide “Adetailer ensures cleaner, more accurate faces and eyes.” ANIMA ANIMA Recommended Settings - Recommended settings: CFG: 4–6 Steps: 30–50 Resolution range: 512–1536 Recommended samplers:

• er_sde

• euler_a

• dpmpp_2m_sde_gpu

Recommended Scheduler

• DDIM

• Beta

er_sde tends to produce cleaner anime-style linework and flatter color control. euler_a often gives softer lines and a more painterly/2.5D feel. dpmpp_2m_sde_gpu can create more experimental and creative outputs depending on prompting. The model responds well to both tag-based prompting and natural language prompting, including mixed prompt structures. Recommended prompt structure: [quality/meta tags] → [subject] → [character/series] → [artist/style] → [general details] → [lighting/composition] Example: masterpiece, best quality, newest, safe, 1girl, original character, @artistname, white hair, black dress, glowing eyes, cinematic lighting, red moon, wind, night, detailed background Natural language prompting also works very well: A pale anime girl with long white hair standing under a crimson moon at night. Cinematic lighting, dark atmosphere, glowing red eyes, wind blowing through her hair, highly detailed illustration. Mixed prompting: masterpiece, best quality, newest, 1girl, white hair, black dress, glowing eyes. A dark fantasy anime scene with cinematic lighting and red atmospheric fog. Recommended quality/meta tags:

• masterpiece
• best quality
• newest
• highres
• absurdres
• safe / sensitive / nsfw / explicit Recommended composition and atmosphere tags:
• cinematic lighting
• rim lighting
• depth of field
• dramatic angle
• dutch angle
• off center
• dynamic pose
• wind
• glowing
• blurry background
• bokeh
• atmospheric
• dramatic shadows Artist prompting: Artist tags generally work better using: @artistname Prompt weighting is supported, though stronger weights may work better than standard SDXL-style prompting. Example: (chibi:2) (red eyes:1.8) Time period tags Specific year year 2025, year 2024, ... Period newest, recent, mid, early, old Meta tags highres, absurdres, anime screenshot, jpeg artifacts, official art, etc Safety tags safe, sensitive, nsfw, explicit The model generally performs better with:
• clean prompts
• focused styles
• clear character descriptions
• strong lighting descriptions
• balanced atmosphere tags Illustrious Recommended Settings - Clip Skip - 2 DPM++ 2M Karras / Euler Ancestral / Restart Sampling Steps - 25-66 Cfg - 6-7 Hires- R-ESRGAN 4x+ Anime6B, 4x-AnimeSharp Steps 10 - 20 Denoising 0.2 - 0.3 Overloading prompts with excessive conflicting tags can reduce consistency. Simpler prompts often produce cleaner results. 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 “as 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.