Image-to-Video
Diffusers
Safetensors
ti2v
Text-to-Video
Image-to-Video
Diffusion Video Model
World Model
Instructions to use stdstu123/Yume-5B-720P with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stdstu123/Yume-5B-720P 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("stdstu123/Yume-5B-720P", 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 VID-20251008-WA00001_stereo_Vocals (1).wav
#3
by Desmond202k - opened
.gitattributes
CHANGED
|
@@ -40,3 +40,4 @@ assets/performance.png filter=lfs diff=lfs merge=lfs -text
|
|
| 40 |
assets/vae.png filter=lfs diff=lfs merge=lfs -text
|
| 41 |
examples/i2v_input.JPG filter=lfs diff=lfs merge=lfs -text
|
| 42 |
demo.mp4 filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 40 |
assets/vae.png filter=lfs diff=lfs merge=lfs -text
|
| 41 |
examples/i2v_input.JPG filter=lfs diff=lfs merge=lfs -text
|
| 42 |
demo.mp4 filter=lfs diff=lfs merge=lfs -text
|
| 43 |
+
VID-20251008-WA00001_stereo_Vocals[[:space:]](1).wav filter=lfs diff=lfs merge=lfs -text
|
VID-20251008-WA00001_stereo_Vocals (1).wav
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6dc8244a33e1cf7371cf6cc647798cc85c62fdc2d2f48d6200eed0fa7d59fa92
|
| 3 |
+
size 1650732
|