IllustriousNXT_XL_v2.0a by klaabu

Special thanks to Jebbanyale483, Roxin and larrydallas123126

klaabu_IllustriousNXT_XL_v2.0a is a fine-tuned evolution of the Illustrious anime model, built for creators who demand sharp detail, strong prompt control, and versatile style coverage. This version improves overall fidelity, boosts knowledge of artist styles and art genres, and maintains full text encoder strength — giving you responsive, high-impact results with both tag-based and natural language prompts.

🎯 Core Features

• Fine-Tuned Base: Improved anatomy, lighting, and output consistency

• Style Awareness: Enhanced recognition of popular artists and art styles

• Prompt Flexibility: Accepts Danbooru tags and natural language equally well

• LoRA Friendly: Fully supports LoRAs for characters, bodies, faces, and aesthetics

• Encoder: Retains full text encoder with updated token awareness (trained up to 2025)

• Resolution: Native support for 512×512 to 1536×1536+

🛠️ Recommended Settings

• Sampler: Euler A or DPM++ 2M SDE, Schedule type: SGM Uniform

• CFG Scale: 3 – 7

• Steps: 25 – 35

• VAE: Optional

🧷 Suggested Positive Tags

(masterpiece, best_quality, ultra_detailed, expressive eyes, clean shading)

🚫 Suggested Negative Tags

(worst_quality, jpeg artifacts, watermark, child, blurry, malformed hands)

Safety Tip:

Use strong negative prompts to avoid unwanted content and keep generations clean.

🧪 Best Use Cases


• High-quality character and scene illustrations

• Art-style experiments and aesthetic LoRA testing

• Visual novel assets, covers, and expressive portraits

Leave feedback, share results, or tag me with your outputs — I'm continuing to refine and improve based on what the community creates.

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

🛠️ Recommended Settings

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.