🌼 What is Springfull XLSpringfull XL is an atmospheric LoRA for SDXL designed to bring the poetry of spring into your images: soft light, drifting cherry blossom petals, pastel tones, and a calm cinematic mood.It enhances scenes without overpowering them, preserving facial integrity, natural colors, and the original style of your chosen checkpoint.It’s not a filter — it’s an aesthetic layer.🌸 Key Features• 	Soft spring atmosphere with pastel pink tones• 	Cherry blossom petals that integrate naturally into the scene• 	Dreamy diffusion without losing detail• 	Zero drift on faces, animals, and landscapes• 	Works with virtually any SDXL checkpoint• 	Fully controllable through LoRA weight (0.5–1.2)• 	Consistent results across portraits, landscapes, macro shots, and editorial scenes🌱 Model BehaviorSpringfull XL does not impose a fixed style.Instead, it gently blends with the underlying checkpoint, adding:• 	soft lighting• 	pastel chromatic harmony• 	drifting petals• 	a serene spring moodIt performs beautifully in:• 	portraits• 	fashion/editorial• 	macro botanicals• 	landscapes• 	wildlife scenes• 	cinematic compositions🌸 LoRA Weight Recommendations• 	0.6–0.8 → portraits• 	1.0 → landscapes &amp; macro• 	0.5 → subtle atmospheric touch• 	1.2 → stronger spring signature🌱 Negative Prompt (Important)"pink hair, magenta hair, color bleed on hair"🌤️ Tips &amp; Tricks• 	Add natural hair color to reinforce realism in portraits• 	Use shallow depth of field for macro shots• 	Works best with soft light and pastel palettes• 	On high‑contrast checkpoints, Springfull XL softens the scene• 	On soft checkpoints, it adds clarity and atmosphere🌸 Model IdentitySpringfull XL is crafted as a signature aesthetic, not a gimmick.It brings:• 	elegance• 	consistency• 	subtlety• 	visual poetryIt enhances the scene without stealing the spotlight.The cover images were created using a checkpoint of my personal preference, chosen to highlight the spring atmosphere at its best.Springfull XL, however, remains fully compatible with a wide range of SDXL checkpoints and performs consistently across almost any base model.

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