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 demo.mp4 with huggingface_hub
Browse files- .gitattributes +1 -0
- demo.mp4 +3 -0
.gitattributes
CHANGED
|
@@ -39,3 +39,4 @@ assets/moe_2.png filter=lfs diff=lfs merge=lfs -text
|
|
| 39 |
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
|
|
|
|
|
|
| 39 |
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
|
demo.mp4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:966ec45d7aa676c9d9f3a27c812683cbc1e5077b84e39e64ddb9b78db3753b5a
|
| 3 |
+
size 139834690
|