Instructions to use bertjiazheng/KoolCogVideoX-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bertjiazheng/KoolCogVideoX-2b with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bertjiazheng/KoolCogVideoX-2b", 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
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# KoolCogVideoX
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KoolCogVideoX-2b is fine-tuned on [CogVideoX-2B](https://huggingface.co/THUDM/CogVideoX-2b) for interior
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## Demo
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# KoolCogVideoX
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KoolCogVideoX-2b is fine-tuned on [CogVideoX-2B](https://huggingface.co/THUDM/CogVideoX-2b) specifically for interior design scenarios.
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## Demo
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