Instructions to use LiuhanChen/Sci-Fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LiuhanChen/Sci-Fi with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("LiuhanChen/Sci-Fi", 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
The official model weights of 'Sci-Fi: Symmetric Constraint for Frame Inbetweening', consisting of two parts: (1) The CogVideoX-5B-I2V base model (2) EF-Net
Notably, during training, the weights of the transformer denoiser in CogVideoX-5B-I2V and those of EF-Net are updated jointly.
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Base model
zai-org/CogVideoX-5b-I2V