Instructions to use TencentARC/VideoPainter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TencentARC/VideoPainter with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TencentARC/VideoPainter", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Commit History
-
Add library name, pipeline tag and license
Verified signatureThis PR adds the library name, pipeline tag and license for the VideoPainter model.4e04f5e
-
Update README.md
Verified signature1a7670f -
Update README.md
Verified signaturecd2940e
-
Upload i3d_rgb_imagenet.pt
Verified signatured1b5522 -
Upload method.jpg
Verified signature37c2f2c -
Update README.md
Verified signaturef54b613 -
Upload License.txt
Verified signature64f9939 -
Create README.md
Verified signaturedd28711
-
init
078081a -
initial commit
Verified signaturef8573ed