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", 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": "DAC", | |
| "_diffusers_version": "0.36.0", | |
| "_name_or_path": "checkpoints/MOVA-360p/audio_vae", | |
| "codebook_dim": 8, | |
| "codebook_size": 1024, | |
| "continuous": true, | |
| "decoder_dim": 2048, | |
| "decoder_rates": [ | |
| 8, | |
| 5, | |
| 4, | |
| 3, | |
| 2 | |
| ], | |
| "encoder_dim": 128, | |
| "encoder_rates": [ | |
| 2, | |
| 3, | |
| 4, | |
| 5, | |
| 8 | |
| ], | |
| "latent_dim": 128, | |
| "n_codebooks": 9, | |
| "quantizer_dropout": false, | |
| "sample_rate": 48000, | |
| "use_weight_norm": false | |
| } | |