Image-to-Video
Diffusers
text-to-video
image-text-to-video
video-to-video
text-to-audio-video
image-to-audio-video
image-text-to-audio-video
video-to-audio-video
audio-to-audio-video
audio-video-generation
multimodal
synchronized-audio-video
reference-to-audio-video
lora
template:diffusion-lora
Instructions to use Shriramnag/Shiv-AI-Motion-Enhancer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shriramnag/Shiv-AI-Motion-Enhancer with Diffusers:
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("Shriramnag/Shiv-AI-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") - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
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
- minimax-h3_fl2v_8Step_motion_enhancer.safetensors - the 8-step motion enhancer LoRA | Disable the vanilla lightX2V LoRA
Acknowledgements
Download model
Download them in the Files & versions tab.
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Model tree for Shriramnag/Shiv-AI-Motion-Enhancer
Base model
MiniMaxAI/MiniMax-H3