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spn_a_t2v_l-noise_v1.0/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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# Wan 2.2 Spoon by MQ Lab
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**Creator**: [MQ_Lab](https://civitai.com/user/MQ_Lab)
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**Type**: LORA
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**Base Model**: Wan Video 2.2 T2V-A14B
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**Version**: spn_a t2v l-noise v1.0
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**Trigger Words**: `N/A`
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**Civitai Model ID**: 1916930
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**Civitai Version ID**: 2169679
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**Stats (at time of fetch for this version)**:
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* Downloads: 1615
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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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Wan 2.2 Spoon LoRA by MQ Lab
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This LoRA from MQ Lab was generated by selecting an appropriate training method, curating many datasets to avoid bias, and manually writing captions.
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MQ Lab's LoRA will continue to evolve. I will continue to add more datasets, improve quality, and provide new versions.
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Prompt ex
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mqlspn_a. A young woman and a man sex scene. The two of them are lying sideways on a bed. The man is positioned behind the woman, thrusting his penis back and forth in her vagina. The woman and the man are nude.
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Tips
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When using with Character LoRA, it's a good idea to write a prompt about the character's appearance.
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The output video is blurry because there aren't enough low-noise processing steps. Please increase the number of steps.
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If the movement is too fast, set the FPS to 16.
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I will be creating various LoRA versions of Wan2.2 in the future, which will require a powerful server-grade GPU (such as the H200). I plan to use a cloud GPU service to run this, which will require funding. If you are willing to help with funding, you can do so on this site. Thank you.
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buymeacoffee.com/mqlab
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I have moved my main activities to Discord. I will post information on Discord and publish my work on MEGA. There is a contact link for MEGA in Discord.
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https://discord.gg/dBBp6Egs
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## Civitai Links
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* **[🔗 View This Version on Civitai →](https://civitai.com/models/1916930?modelVersionId=2169679)**
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* [View Full Model Page →](https://civitai.com/models/1916930)
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* [View Creator Profile →](https://civitai.com/user/MQ_Lab)
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---
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## File Information
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* **Filename**: `mqlspn_a_wan22_t2v_v1_low_noise.safetensors`
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* **Size**: 292.60 MB
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* **Hash (AutoV2)**: `CAB0E04999`
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* **Hash (SHA256)**: `CAB0E0499933E8FDBC0EB1D17FB2A53D71441FF1D52144E22CB6DABEB149E0F9`
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