Upload 1974647/2820674/README.md with huggingface_hub
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1974647/2820674/README.md
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license: other
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tags:
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- civitai
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---
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Author: [az420](https://civitai.com/user/az420)
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Model: [
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-
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license: other
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tags:
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- civitai
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- blob
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- slime creature
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- concept
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- gelatinous blob
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- restrained
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---
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# Stuck in a Gelatinous Blob - 2820674
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**Model Type**: LORA
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**Base Model**: Wan Video 2.2 T2V-A14B
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**Trigger Words**: stuck in a gelatinous blob
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**Tags**: blob, slime creature, concept, gelatinous blob, restrained
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## Description
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I was watching a Sci Fi show and saw this one scene that made me wonder.... Can I train a LORA from a single 5 second scene?
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The answer: "sure! why not!?"
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Stuck in a Gelatinous Blob
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==========================
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Don't ask why... ask 'how'! We'll get to the why when the blob is done and spoiler alert, the blob is never done.
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Since I only had a single scene to work with, I varied the captions, flipped the videos horizontally, shifted the colors and played with cropping as well. The result, a surprisingly not-useless LORA!
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Wildcard Prompt
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```
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A beautiful {Russian|French|Swedish|Swiss|African|Latina|Austrian|Dutch|English|American|Siberian|Chinese|Ukrainian|Thai|Czech} woman is stuck in a {green|clear|yellow|red|blue|pink|white|black|multicolor} gelatinous blob, with her head and shoulders visible above the surface.
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She has {very long|long|shoulder length} {blonde|brown|dirty blonde|black|auburn} hair.
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She is {screaming from pleasure|very surprised and shocked|furrowing her brow and gritting her teeth|throwing her head back}.
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They are {inside a tent with the door flap open behind them showing {snowy mountain peaks|a dense forest}|on a beach towel on a beach|on a {large|small} {red velvet|blue|pink|white|four post} bed|on a {white|black|blue|red|pink|purple|brown} couch|on a carpet|on a futon in a basement|in a mall|at a carnival|on stage in a theatre|in a barn on some hay|in the back of a delivery van}.
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Lighting is {bright|soft|dim in the background|warm}.
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```
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The only other trick I applied was training a low resolution 192x192. This tends to let HunyuanVideo learn the contours without keying into the specifics, assisting the model in generalization at render time. I also used dropout at 0.15, higher than I've gone before, given the limited dataset.
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Disclaimer
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----------
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blob
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---
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Author: [az420](https://civitai.com/user/az420)
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Model: [CivitAI Model Page](https://civitai.com/models/1974647?modelVersionId=2820674)
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Archive: [CivArchive Page](https://civarchive.com/models/1974647?modelVersionId=2820674)
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<!-- Version: 20260422_v4_update -->
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