模型来自许多优秀模型的合并和lora微调，最终整合了Heptagram模型，本模型来自于开源社区，向所有开源制作者致敬。我的设备性能不高，演示视频均为540p，我也无法本地对模型进行训练，经过微调和合并获得的本模型在我的设备上效果很好，所以我选择把它发布。步数设置：4-8shift video：6-16shift audio：3sampler：res_multistepscheduler:simple整合了taomate与hyperflow的加速lora。This model is the result of merging several excellent models and applying LoRA fine-tuning; it ultimately incorporates the Heptagram model. Originating from the open-source community, this project pays tribute to all open-source creators.Due to my hardware limitations, All demo videos are in 540p, and I am unable to perform model training locally. However, since this fine-tuned and merged model performs well on my setup, I decided to release it.Steps: 4–8Shift video: 6–16Shift audio: 3Sampler: res_multistepScheduler: simpleIntegrates acceleration LoRAs from taomate and hyperflow.

Heptagram

本版本音频处理有些瑕疵，但是在480p低分辨率生成任务上表现良好，具体请下载使用以作判断，在我的设备上这个模型可以解决人脸扭曲模糊的问题，转而用一种带有相机噪点、模糊但保留人脸五官特征的风格，对各种风格如游戏、动漫、3D作品生成良好，且十分遵循提示词。While the audio processing in this version has some flaws, it performs well in 480p low-resolution generation tasks; please download and test it yourself to judge. On my device, this model resolves issues with facial distortion and blurriness, instead producing a style that incorporates camera noise and softness while preserving facial features. It works well across various styles—such as gaming, anime, and 3D art—and adheres closely to prompts.

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