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I2V_High_Alpha/README.md
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---
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language:
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- en
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tags:
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- art
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---
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# Body Growth/Expansion
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**Creator**: [cruffsant461](https://civitai.com/user/cruffsant461)
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**Type**: LORA
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**Base Model**: Wan Video 2.2 I2V-A14B
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**Version**: I2V High Alpha
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**Trigger Words**: `N/A`
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**Civitai Model ID**: 1951971
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**Civitai Version ID**: 2209210
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**Stats (at time of fetch for this version)**:
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* Downloads: 62
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* Rating: 0 (0 ratings)
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* Favorites: N/A
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---
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## 📄 Description (Parent Model)
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This lora is to produce the effect of the subject growing bigger. It was trained on mostly male furry videos, so it probably skews towards that in generation.
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The alpha version was trained on a larger dataset that included more jerking and pulsing movements to indicate the growth, which tends to be overaccentuated in the generation.
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The beta version was trained for more iterations on a smaller dataset that included less visible growth movements, so it tends towards generating things that look like they're just being scaled up.
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I2V Example ComfyUI Workflow:
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https://pastebin.com/jrBihCYA
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Generation Tips:
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I've noticed that using a mix of both alpha and beta is usually what you want to do. I typically use
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0.65 of beta and 0.55 of alpha
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. Trying to get a sum of a little more than 1 seems to be a good idea, but play around. That means you'll be using four loras for one generation: the high and low alpha and the high and low beta
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There's no specific trigger word(s), but you may need to use phrases like "grows bigger"/"grows more muscular"
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This seems to need more steps when using the lightx2v/lightning loras, or else you get jerky movements. I typically end up using
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10 steps, 5 High, 5 Low
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I usually use
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Euler Simple
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## Civitai Links
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* **[🔗 View This Version on Civitai →](https://civitai.com/models/1951971?modelVersionId=2209210)**
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* [View Full Model Page →](https://civitai.com/models/1951971)
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* [View Creator Profile →](https://civitai.com/user/cruffsant461)
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---
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## File Information
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* **Filename**: `growth-i2v-alpha-high-noise.safetensors`
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* **Size**: 292.60 MB
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* **Hash (AutoV2)**: `F4819A82D9`
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* **Hash (SHA256)**: `F4819A82D92AC73115EC8B3CE9ACBB7D8D9A2D259FAC04CF019027B67769B7EC`
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