### About the Model

v2 is a complete retrain. Where v1 was a "CGI enhancer" that worked best stacked on top of other 3D LoRAs, v2 is the renderer itself: use it alone, at full weight, and it takes over how the image is lit and shaded.

The target look is a modern offline raytraced character render — Cycles / Octane / RE Engine class: real sub-surface scattering on skin, visible veins, sweat and wet specular highlights, physically based lighting with deep shadows and practical light sources, sharp fabric and hair micro-detail. Anatomy and character features stay yours; the LoRA only decides how they are rendered.

Trained on 1,314 hand-curated images, all from the same render language — no cel-shaded / game-CG / Koikatsu / MMD mixed in, which is exactly what kept v1 halfway between anime and 3D. Sources were selected by artist rather than by tag, re-fetched at full resolution (1400 px+), signature-cropped and de-duplicated. It is an NSFW-first dataset (~94% explicit/nsfw); SFW works, but that's not where the data is.

Works with the Anima turbo LoRA.

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### How to Use & Prompting Strategy

* Primary Trigger Word: @lllsuperlllcgi (same as v1)

* Style Anchors (Required): 3d, realistic, photo (medium) — these were in every training caption and carry part of the style. Put them right after the trigger.

* Rating tag second: start the prompt with newest, explicit / nsfw / sensitive / safe. The set is mostly explicit and nsfw; those two also push the render hardest.

* Describe, don't name. Characters were captioned by appearance only (hair, eyes, outfit), never by name — so describe the look; character LoRAs stack fine.

* Do not stack v1 or other style LoRAs. Do not use (blender \(medium\)) or cgi anchors from v1 — they were deliberately left out of v2 captions.

Prompt skeleton:

> newest, explicit, @lllsuperlllcgi, 3d, realistic, photo (medium), 1girl, brown hair, ponytail, green eyes, freckles, nude, sitting on bed, dim bedroom, warm lamp light, sweat, looking at viewer

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### Recommended Generation Settings

* LoRA Weight: 1.0 (0.8–1.0). This is not an enhancer — run it at full strength.

* Base Model: WAI-ANIMA v1.0 (trained on it). Anima v1.0 Base also works.

* Sampler: er_sde + beta for maximum skin/fabric micro-detail; euler a + normal for a cleaner, softer CGI look — the style holds on both.

* Steps: 28 – 35

* CFG Scale: 3.0 – 3.5 (keep it low — flow model)

* Shift: 3.0

* Resolution: 832×1216 / 1024×1024 and up

* Negative Prompt:

> worst quality, low quality, blurry, jpeg artifacts, lowres, watermark, signature, text, censored, bad hands, anime, flat color

Amateur Filter from v1 (sharpen 0.01 / desaturation 0.85 / grain 0.02) still helps on euler a to kill the last of the AI sheen; on er_sde it is usually unnecessary.

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### Training (v2)

* Base: WAI-ANIMA v1.0 · LoRA rank 32 / alpha 32 · LR 1e-4, bf16

* 1,314 images at 1024 with aspect buckets · batch 4 · 8 epochs = 2,712 steps

* Captions: WD ViT-Large tagger v3 + trigger, 6 pinned tokens, shuffled, 10% tag dropout

* Text encoder and LLM adapter frozen

* Three configs were trained side by side (LoKr r64 @1e-4, LoKr r64 @2e-4, LoRA r32 @1e-4) and compared on a fixed grid against v1 on both samplers; LoKr @2e-4 diverged mid-run. This release is the LoRA r32 run at epoch 8 — the most stable trajectory, lowest final loss, best prompt adherence.

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### v1 vs v2

* Role — v1: enhancer, stack with other 3D LoRAs → v2: standalone renderer

* Weight — v1: 0.7–0.9 → v2: 1.0

* Dataset — v1: ~120 images, preview resolution, mixed styles → v2: 1,314 images, 1400 px+, one render language

* Anchors — v1: cgi, (blender \(medium\):0.7) → v2: 3d, realistic, photo (medium)

* Best sampler — v1: DPM2 / Euler + Karras → v2: er_sde + beta / euler a + normal