Style Detailer Illustrious Semi Realistic Anime

LORA
Original - TenStar Fund


Updated:

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Version Detail

Trained by Tensor
SDXL 1.0
3
SDXL scheduler recommendations: For Speed & Excellent Quality (Balanced): DPM++ 2M Karras: The go-to workhorse. Its optimized noise schedule (Karras) combined with a robust solver (DPM++ 2M) delivers high-fidelity results efficiently in a moderate number of steps (e.g., 20-30), making it a strong default for most uses. Euler A: Best for rapid ideation and exploration. Its stochastic nature adds subtle variation with each generation, even at low steps, allowing for quick iteration and discovering novel compositions. For Uncompromising Quality & Detail: DPM++ SDE Karras / DPM++ 3M SDE Karras (≈27 seconds): These are often considered the pinnacle for intricate detail and photorealism. Their stochastic differential equation (SDE) solvers introduce beneficial randomness, which helps the model explore richer details, often requiring slightly more steps (e.g., 30-50+) for full convergence but yielding superior texture and nuance. For Ultra-Fast Generation: UniPC (≈17 seconds): The champion for blazing speed and surprising quality at minimal steps (e.g., 10-15). It's designed to converge very quickly, making it ideal for real-time applications or when sheer output volume is prioritized over microscopic detail.

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