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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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+
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+ # Blowbang
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+
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+ **Creator**: [f1985](https://civitai.com/user/f1985)
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+ **Type**: LORA
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+ **Base Model**: Wan Video 2.2 T2V-A14B
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+ **Version**: Wan2.2 T2V Low Noise
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+ **Trigger Words**: `A woman is surrounded by multiple penises, she is in the middle of the frame performing oral sex, men's torsos are around her, they all have huge penises which the woman is grabbing and putting inside her mouth.`
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+
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+ **Civitai Model ID**: 1930903
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+ **Civitai Version ID**: 2185457
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+
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+ **Stats (at time of fetch for this version)**:
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+ * Downloads: 1494
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+ * Rating: 0 (0 ratings)
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+ * Favorites: N/A
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+
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+ ---
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+
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+ ## 📄 Description (Parent Model)
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+
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+ Blowbang concept LoRA.
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+ Trained on 21 clips of 5 seconds, 16fps.
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+ Use this
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+ A woman is surrounded by multiple penises, she is in the middle of the frame performing oral sex, men's torsos are around her, they all have huge penises which the woman are grabbing and putting inside her mouth.
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+ Then customize to your liking.
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+ NOTE: Not the result I was hoping for, but it is a very hard LoRA to train, especially with all the movement the woman is making by shifting the way her head is moving from side to side. Maybe an improved dataset where the woman is focused on one penis while the other penises are just surrounding her would yield a better result, for next time hopefully.
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+ Workflow is included in the samples.
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+ If you enjoy these models and find them useful, please leave a thumbs up on both. It really motivates me to keep creating more! Feel free to also share some of the work you generated with them in this page; I’d love to see it.
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+ Enjoy!
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+
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+ ## Civitai Links
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+
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+ * **[🔗 View This Version on Civitai →](https://civitai.com/models/1930903?modelVersionId=2185457)**
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+ * [View Full Model Page →](https://civitai.com/models/1930903)
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+ * [View Creator Profile →](https://civitai.com/user/f1985)
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+
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+ ---
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+
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+ ## File Information
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+
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+ * **Filename**: `Blowbang_low_noise.safetensors`
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+ * **Size**: 292.60 MB
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+ * **Hash (AutoV2)**: `5814AE4B9B`
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+ * **Hash (SHA256)**: `5814AE4B9B6B1E492EBD90B129281224133785B99ED16D08E6A7723D3124A3B9`