---
license: apache-2.0
language:
  - en
tags:
 - video
 - genmo
 - diffusers
pipeline_tag: text-to-video
library_name: diffusers
---
# 🎥 Distilled Mochi Transformer

Current repository contains distilled transformer for genmoai mochi-1. 
This transformer consists of 42 blocks vs 48 blocks in original transformer.

<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/63fde49f6315a264aba6a7ed/FCG0Mdzmlh-KsFk0v4ixl.mp4"></video>

### Training details
We have analized MSE of latent after each block and iteratively dropped blocks which have minimum value of MSE.

<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/63fde49f6315a264aba6a7ed/ILt2OOC_La0hcQIedkNhx.mp4"></video>

After each block drop we have trained neighboring blocks (one before and one after deleted block) for 1K steps.

### 🚀 Try it here: [Interactive Demo](https://nim.video/create/2855fa68-21b1-4114-b366-53e5e4705ebf?workflow=image2video)

---


## Usage
#### Minimal code example
```python
import torch
from diffusers import MochiPipeline, MochiTransformer3DModel
from diffusers.utils import export_to_video

transformer = MochiTransformer3DModel.from_pretrained(
    "NimVideo/mochi-1-transformer-42",
    torch_dtype=torch.bfloat16,
)
pipe = MochiPipeline.from_pretrained(
    "genmo/mochi-1-preview", 
    transformer=transformer,
    variant="bf16", 
    torch_dtype=torch.bfloat16
)

pipe.enable_model_cpu_offload()
pipe.enable_vae_tiling()

prompt = "Close-up of a chameleon's eye, with its scaly skin changing color. Ultra high resolution 4k."
frames = pipe(prompt, num_frames=85).frames[0]

export_to_video(frames, "mochi.mp4", fps=30)
```


## Acknowledgements
Original code and models [mochi](https://github.com/genmoai/mochi).  

## Contacts
<p>Issues should be raised directly in the repository.</p>