Instructions to use cat666/VToooo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cat666/VToooo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cat666/VToooo", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 855365591338ba4cc815f61bd53c2072694da5b6a600d804479f030c465a0b0c
- Size of remote file:
- 3.44 GB
- SHA256:
- f8423ba2e9395e99a184ba7457638ff2410fd0c4b5a84d98dead342c2f23ce13
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