Instructions to use cerspense/zeroscope_v2_XL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cerspense/zeroscope_v2_XL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cerspense/zeroscope_v2_XL", 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
How to do v2v via diffusers method?
#22
by charlesai - opened
I am using diffusers to create a t2v using zeroscope but would like to use an init video to do v2v is that possible using diffusers? Thanks!
Yes, the video-to-video pipeline just got added to the diffusers Github codebase a few days ago, and added to the most recent diffusers release v0.18.0 yesterday. If you have an older version of diffusers installed, you should upgrade it to the latest version for this to work.
Once that's done, the video-to-video pipeline is described in model README