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
Update model_index.json
Browse files- model_index.json +1 -1
model_index.json
CHANGED
|
@@ -32,7 +32,7 @@
|
|
| 32 |
"mova.diffusion.models.wan_video_dit",
|
| 33 |
"WanModel"
|
| 34 |
],
|
| 35 |
-
"
|
| 36 |
"mova.diffusion.models.wan_video_dit",
|
| 37 |
"WanModel"
|
| 38 |
],
|
|
|
|
| 32 |
"mova.diffusion.models.wan_video_dit",
|
| 33 |
"WanModel"
|
| 34 |
],
|
| 35 |
+
"video_dit_2": [
|
| 36 |
"mova.diffusion.models.wan_video_dit",
|
| 37 |
"WanModel"
|
| 38 |
],
|