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IllustriousNXT_XL by klaabu

268

1.1k

19.7k

70

Verified:

SafeTensor

Type

Checkpoint Trained

Stats

1,086

19.7k

15.5k

Generation

Reviews

Published

May 29, 2025

Base Model

Illustrious

Hash

AutoV2
F15E9FA838
GPU (Great Purring Unit)
klaabu's Avatar

klaabu

IllustriousNXT_XL_v1.0 by klaabu

klaabu_IllustriousNXT_XL_v1.0 is a high-performance, anime-focused checkpoint built on top of IllustriousXL.
It’s been fine-tuned for stylistic flexibility, LoRA compatibility, and sharp prompt responsiveness, enabling both tag-based and natural language workflows.

This release focuses on strong prompt adherence, vibrant colours, controlled shading, and recognisable character fidelity — ideal for both character illustration and concept design across multiple anime styles.


🎯 Core Features

  • Optimised For: Stylised anime generations, tag-heavy control, expressive facial detail

  • Prompt Style: Accepts both Danbooru tag-style and natural language

  • LoRA Support: Highly compatible with both expressive and concept-specific LoRAs

  • Token Awareness: Trained with knowledge cutoff early 2025

  • Resolution Range: Native support for 512×512 up to 1536×1536 and beyond


Sampler Euler A

CFG 3 – 7

Steps 20 – 35

VAE not required


🧷 Suggested Positive Tags

(masterpiece, best_quality, amazing_quality, etc.)

🚫 Suggested Negative Tags

worst_quality, low_quality, blurry, jpeg artifacts, text, logo, child, young

Safety Control Recommendation:

  • Generative models can occasionally produce unintended or harmful outputs.

  • To minimize this risk, it is strongly recommended to use the above negative prompts which incorporates additional safety mechanisms for responsible content generation.


🧪 Best Use Cases

  • Single-character compositions

  • Stylised portraits or full-body shots

  • Scene-based illustration with vibrant tone mapping

  • Experimental testing with new aesthetic LoRAs


Drop feedback, sample generations, and test results in your preferred channel or tag me directly.
I’m actively refining this model based on community feedback — let’s push it further.