Rainveil FX V2 — Wetness First
Bring realistic-looking wet hair, water droplets, and rain-soaked details to beautiful 2D anime illustrations.
Rainveil FX V2 is a specialized LoRA for Anima Base v1.0, designed to enhance the appearance of moisture on original adult anime characters.
Key Features
Wet Hair Details: Separated, water-weighted hair strands clinging naturally to the face and neck.
Water Droplets: Subtle droplets on eyelashes, cheeks, hair tips, and jawlines.
Wet Clothing: Rain-darkened fabric, damp coat surfaces, and reflective water highlights.
Cinematic Anime Style: Clean linework, expressive mature faces, layered cel shading, and atmospheric lighting.
Versatile Characters: Supports different hairstyles, hair colors, characters, and rainy environments.
Recommended Settings
SettingValueBase ModelAnima Base v1.0Trigger WordrainveilfxRecommended Strength0.9–1.05Sampling Steps28SamplerEulerCFG Scale4.0
About V2
This version introduces a wetness-focused dataset with 54 quality-selected training images, emphasizing visible wet hair, facial water droplets, and saturated clothing.
The full training experiment reached 432 steps across 8 epochs. The recommended release checkpoint is Epoch 4 (216 steps), selected through controlled visual comparisons for its clear wetness details.
Results vary by prompt and seed. Small droplets and realistic water behavior are not guaranteed in every image.
Example Trigger
rainveilfx, adult anime woman, soaked silver hair clinging to cheeks, clear droplets on eyelashes, wet navy coat, cinematic lighting, detailed Japanese 2D anime
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Description
Rainveil FX V2 — Wetness-First Release
This version focuses on improving realistic-looking wet hair, visible water droplets, and rain-soaked clothing in premium Japanese 2D anime illustrations.
What's New in V2
Improved wet hair clumping and water-weighted strands.
More visible droplets on eyelashes, cheeks, and hair tips.
Enhanced rain-darkened fabric and wet clothing details.
Better definition of soaked hair against the face and neck.
Refined wetness-focused anime character rendering.
New curated dataset of 54 training images.
Training Details
Base Model: Anima Base v1.0
Architecture: T-LoRA
Network Rank: 16
Network Alpha: 16
Training Dataset: 54 images
Full Training: 8 epochs / 432 steps
Selected Release Checkpoint: Epoch 4 / 216 steps
Recommended Settings
Trigger:
rainveilfxLoRA Strength: 0.9–1.05
Steps: 28
Sampler: Euler
CFG Scale: 4.0
Epoch 4 was selected after visual comparisons with Epochs 6 and 8 because it retained clearer wet hair strands and water details in the tested scenes.
Results may vary depending on the prompt and seed.