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.

Prompt
a parrot flying in the blue skies, a grainy or noisy video effect in the background

Usage

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-vhs")
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

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Inference API
Inference API (serverless) does not yet support diffusers models for this pipeline type.