Image-to-Video
Diffusers
Safetensors
MOVA
image-text-to-video
image-to-audio-video
image-text-to-audio-video
MOVA
OpenMOSS
SII
MOSI
sglang-diffusion
Instructions to use OpenMOSS-Team/MOVA-360p with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OpenMOSS-Team/MOVA-360p 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("OpenMOSS-Team/MOVA-360p", torch_dtype=torch.bfloat16, device_map="cuda") pipe.to("cuda") prompt = "A man with short gray hair plays a red electric guitar." image = load_image( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" ) output = pipe(image=image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_class_name": "MOVA", | |
| "_diffusers_version": "0.36.0", | |
| "_name_or_path": "checkpoints/MOVA-360p", | |
| "audio_dit": [ | |
| "mova.diffusion.models.wan_audio_dit", | |
| "WanAudioModel" | |
| ], | |
| "audio_vae": [ | |
| "mova.diffusion.models.dac_vae", | |
| "DAC" | |
| ], | |
| "audio_vae_type": "dac", | |
| "boundary_ratio": 0.9, | |
| "dual_tower_bridge": [ | |
| "mova.diffusion.models.interactionv2", | |
| "DualTowerConditionalBridge" | |
| ], | |
| "scheduler": [ | |
| "mova.diffusion.schedulers.flow_match_pair", | |
| "FlowMatchPairScheduler" | |
| ], | |
| "text_encoder": [ | |
| "transformers", | |
| "UMT5EncoderModel" | |
| ], | |
| "tokenizer": [ | |
| "transformers", | |
| "T5TokenizerFast" | |
| ], | |
| "video_dit": [ | |
| "mova.diffusion.models.wan_video_dit", | |
| "WanModel" | |
| ], | |
| "video_dit_2": [ | |
| "mova.diffusion.models.wan_video_dit", | |
| "WanModel" | |
| ], | |
| "video_vae": [ | |
| "diffusers", | |
| "AutoencoderKLWan" | |
| ] | |
| } | |