art text-generation-inference text-to-video en license:apache-2.0 region:us
---
license: apache-2.0
language:
- en
pipeline_tag: text-to-video
tags:
- art
- text-generation-inference
---
introduction:(this is a motion lora model/Research on motion models about Beam and shuttle sence)
1.As the Apache license2.0 license
2.any commercial legal disputes arising from the use of this model shall be borne by yourself. 
3.if you install this model that implies that you accept the terms.
---
*2example with 2K result has been released on the youtube(https://www.youtube.com/watch?v=s_NdPdkbNqU)twitter(https://twitter.com/Drex1165890669/status/1758196689968480430)

**motion lora model configuration

1.train in 1024x576size 256rank 16framesx5 1500steps

2.six videos input with folder training with 3 types of text config

3.trian prompt:"a highly quality clear best realistic video of high speed shuttle with light"

4.training model:epicrealism_naturalSinRC1VAE.safetensors, inference model:epicrealism_naturalSinRC1VAE.safetensors

5.additionally necessary specify parameters：use_offset_noise: true

6.learning_rate/learning_rate_spatial/adam_weight_decay:between 5x-20xoriginal learning_rate=depending on your training set counts

7.Suitable for Animatediff workflow, weight recommended in between 0.5-1