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
Looking for help in Video InPainting
#2
by hugraghav - opened
I'm building a video object replacement system and would love your insights on generating temporally consistent replacement objects for video frames. Your approach to video painter could be key to solving some challenges.
Can VideoPainter be a good fit for this sort of project. Please tag we can more detailed discussion on this.