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---
base_model: mochi-1-preview
library_name: diffusers
license: apache-2.0
tags:
- text-to-video
- diffusers-training
- diffusers
- lora
- replicate
- mochi-1-preview
---
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# Mochi-1 Preview LoRA Finetune
This is a LoRA fine-tune of the Mochi-1 preview model. The model was trained using custom training data.
## Usage
```python
from diffusers import MochiPipeline
from diffusers.utils import export_to_video
import torch
pipe = MochiPipeline.from_pretrained("genmo/mochi-1-preview")
pipe.load_lora_weights("lucataco/mochi-lora-melty")
pipe.enable_model_cpu_offload()
video = pipe(
prompt="your prompt here",
guidance_scale=6.0,
num_inference_steps=64,
height=480,
width=848,
max_sequence_length=256,
).frames[0]
export_to_video(video, "output.mp4", fps=30)
```
## Training details
Trained on Replicate using: [lucataco/mochi-1-lora-trainer](https://replicate.com/lucataco/mochi-1-lora-trainer)
## Intended uses & limitations
#### How to use
```python
# TODO: add an example code snippet for running this diffusion pipeline
```
#### Limitations and bias
[TODO: provide examples of latent issues and potential remediations]
## Training details
[TODO: describe the data used to train the model] |