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
File size: 366 Bytes
20d9a47 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"_class_name": "FlowMatchPairScheduler",
"_diffusers_version": "0.36.0",
"exponential_shift": false,
"exponential_shift_mu": null,
"extra_one_step": true,
"inverse_timesteps": false,
"num_inference_steps": 100,
"num_train_timesteps": 1000,
"reverse_sigmas": false,
"shift": 5,
"shift_terminal": null,
"sigma_max": 1.0,
"sigma_min": 0.0
}
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