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2821374/3194573/README.md
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---
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license: other
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tags:
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- concept
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---
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# ASMR Ear Licking - v2.0 10 Eros - 3194573
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**Model Type**: LORA
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**Base Model**: LTXV 2.3
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**Trigger Words**: None
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**Tags**: concept
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## Gallery
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<table>
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<tr>
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<td><video src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/050d606d-1857-4a89-abd8-63d269752331/original=true/138639264.mp4" width="200" controls muted autoplay loop></video></td>
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<td><video src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/67466cfb-845c-42bc-8329-0fb19eace21f/original=true/138639280.mp4" width="200" controls muted autoplay loop></video></td>
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<td><video src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/1f8118e7-33aa-4c4f-b35d-d588a398b353/original=true/138639295.mp4" width="200" controls muted autoplay loop></video></td>
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</tr>
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</table>
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## Description
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**ASMR Ear Lick — LTX-2 video + audio LoRA**
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============================================
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Plus a PONY LoRA for I2V image gen!
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-----------------------------------
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**Trigger:** `asmr ear lick` **— first words of the prompt, verbatim.**
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Trained on 2,700 clip (3.8 hrs) of real 3dio binaural ear-licking, captioned with the audio described alongside the video. LTX-2 generates sound with the picture, and this LoRA trains the audio branch too — so it renders the wet, rhythmic binaural licking track locked to the tongue, not just the visual.
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Two builds: the **Eros** one (rank 64, audio layers trained, 9k steps — pair it with the 10-Eros distilled checkpoint) and the **LTX-2** one (rank 32, stock base). Eros is the stronger of the two.
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**Weight 1.0** (works 0.85–1.05). Tested at portrait 448×768, 481 frames (~20 s), t2v & i2v, random seed.
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**Prompting**
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-------------
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**Words that work:** `3dio microphone` · `aggressive ear licking` · `silicon ears` · `static close-up on her mouth and the microphone` · `licks` · `laps` · `slow wet licks` · `tongue drags` · `presses and slides along every curve` · `tracing the ear shapes repeatedly` · `mouth open, tongue visible as it makes contact` · `glistening saliva trails` · `wet mouth and licking sounds` · `wet and rhythmic` · `continuous` · `slow and deliberate`
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**Always close with:** `3dio microphone ear lick. Binaural audio.`
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**The tricks:**
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1. **Give the audio its own sentence and tie it to the action** — "The audio consists of the sounds of the woman licking the microphone, which are wet and rhythmic." Describing the room instead of the licking gives you vague, detached sound.
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2. **Never write "stroke"/"strokes"** — the model reads it as *hand* stroking and puts her hands on the mic. Use licks, laps, tongue drags.
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3. **Always say the tongue is visible** — "mouth open, tongue visible as it makes contact." A bare "licks the mic" renders a soft, undetailed tongue.
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4. **Say which side of her face the mic is on.** Anchors the layout so the binaural image matches the picture.
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5. **Don't invent sound words.** "Saliva clicks", "squelches", "suction pops" aren't in the captions and degrade the track — stick to wet/rhythmic/continuous. (Visual "glistening saliva trails" is fine.)
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6. **Go light on breathing** — mentioning it pulls the mix away from the licks.
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7. **Negative prompts do nothing** on the distilled checkpoints (CFG-free). Steer with positive phrasing only.
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8. **Two girls:** side-by-side positional descriptors, one shared mic held between them, and a *sequential join* — "the woman on the left begins by licking… while the other watches, then joins in." Describe the audio globally; never map a sound to one girl or one ear.
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---
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Author: [SluttySlop](https://civitai.com/user/SluttySlop)
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Model: [CivitAI Model Page](https://civitai.com/models/2821374?modelVersionId=3194573)
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Archive: [CivArchive Page](https://civarchive.com/models/2821374?modelVersionId=3194573)
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