Instructions to use thingthatis/stable-video-diffusion-img2vid-xt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use thingthatis/stable-video-diffusion-img2vid-xt 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("thingthatis/stable-video-diffusion-img2vid-xt", 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 README.md
#2
by EVA787797 - opened
README.md
CHANGED
|
@@ -1,8 +1,19 @@
|
|
| 1 |
---
|
| 2 |
pipeline_tag: image-to-video
|
| 3 |
-
license:
|
| 4 |
license_name: stable-video-diffusion-nc-community
|
| 5 |
license_link: LICENSE
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 6 |
---
|
| 7 |
|
| 8 |
# Stable Video Diffusion Image-to-Video Model Card
|
|
|
|
| 1 |
---
|
| 2 |
pipeline_tag: image-to-video
|
| 3 |
+
license: bsl-1.0
|
| 4 |
license_name: stable-video-diffusion-nc-community
|
| 5 |
license_link: LICENSE
|
| 6 |
+
datasets:
|
| 7 |
+
- HuggingFaceFV/finevideo
|
| 8 |
+
language:
|
| 9 |
+
- ab
|
| 10 |
+
metrics:
|
| 11 |
+
- cer
|
| 12 |
+
base_model:
|
| 13 |
+
- THUDM/CogVideoX-5b
|
| 14 |
+
library_name: fasttext
|
| 15 |
+
tags:
|
| 16 |
+
- legal
|
| 17 |
---
|
| 18 |
|
| 19 |
# Stable Video Diffusion Image-to-Video Model Card
|