How to match quality of the video that is generated using playground vs. huggingface weights?

[Annusha]

Hi,

I've tried to generate video using the same prompt using both playground and then using downloaded weights. I would like to note that I tried only huggingface "genmo/mochi-1-preview" model and was following the code below:

import torch
from diffusers import MochiPipeline
from diffusers.utils import export_to_video

pipe = MochiPipeline.from_pretrained("genmo/mochi-1-preview")

# Enable memory savings - disabled, as I was using H100 and it was enough
# pipe.enable_model_cpu_offload()
# pipe.enable_vae_tiling()

prompt = "A movie trailer featuring the adventures of the 30 year old space man wearing a red wool knitted motorcycle helmet, blue sky, salt desert, cinematic style, shot on 35mm film, vivid colors."

with torch.autocast("cuda", torch.bfloat16, cache_enabled=False):
      frames = pipe(prompt, num_frames=84).frames[0]

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

The results are quite different (top is from the playground and the other one was generated on the local machine).
I played around with guidance_scale that improved the results a bit.
What else should I change to match the results with the playground?

mochi-red-helmet.mp4

mochi-red-helmet.huggingface.weights2.mp4