Instructions to use VanessaHu/26CVPR-baseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use VanessaHu/26CVPR-baseline with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("VanessaHu/26CVPR-baseline", 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
Ctrl+K
- .github
- I2V-output
- T2V-output
- finetune
- img_clean
- inference
- model_cache
- phygenben-output
- resources
- tools
- videophy-output
- zt-output
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