Instructions to use FireCRT/VideoStudio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FireCRT/VideoStudio with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FireCRT/VideoStudio", 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
A100 Grant
#1
by merve - opened
Hello @FireCRT
I have noticed you have multiple models in one repository, it would be great to have one pipeline (image encoder, text encoder etc) in separate repositories. Also having a snippet to get started with model in model card would be nice.
I also wanted to let you know, in case you'd like to build a demo on Spaces, we want to grant you an A100.