Instructions to use yanboding/MTVCrafter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yanboding/MTVCrafter 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("yanboding/MTVCrafter", 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
Upload MV-DiT/Wan-2-1/diffusion_pytorch_model-00002-of-00004.safetensors with huggingface_hub (#5)
Browse files- Upload MV-DiT/Wan-2-1/diffusion_pytorch_model-00002-of-00004.safetensors with huggingface_hub (79a6177070d0b6a72de7bea486a09e61ff460e4a)
Co-authored-by: meteorite2023 <meteorite2023@users.noreply.huggingface.co>
MV-DiT/Wan-2-1/diffusion_pytorch_model-00002-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:95f157406b8ae35061104277fc01ccb993b106d52df7d48aa181485ac6264cf1
|
| 3 |
+
size 9954421208
|