How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
from diffusers.utils import load_image, export_to_video

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("MiniMaxAI/MiniMax-H3", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("rzgar/minimax-h3_fl2v_8Step_motion_enhancer")

prompt = "A man with short gray hair plays a red electric guitar."
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png")

image = pipe(image=input_image, prompt=prompt).frames[0]
export_to_video(output, "output.mp4")

MiniMax-H3 FL2V 8-Step Motion Enhancer

Model description

An 8-step LoRA for the MiniMax-H3 FL2VS video model, built on top of the vanilla LightX2V 8-step LoRA.

It focuses on the NSFW side of generation:

  • More accurate male and female anatomy
  • Understands NSFW-related motions and enhances the animations

Files

Acknowledgements

LightX2V

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