Instructions to use tuwonga/rotoscopee with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tuwonga/rotoscopee with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tuwonga/rotoscopee", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 90a57c1bce4a868a01d5b87fe37c57a13f8f59a61526cfcadadba5eaf004ce66
- Size of remote file:
- 2.13 GB
- SHA256:
- dcc9fa1e36143b09115b3c09b2b0f9d859a91f2f09d000946124fadbe66fa726
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.