Instructions to use camenduru/text2video-zero with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use camenduru/text2video-zero with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("camenduru/text2video-zero", 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
Download huggingface/hub/version_diffusers_cache.txt from camenduru/text2video-zero: direct link, hf CLI and curl.
- Browser
- Download file 1 Bytes
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https://huggingface.co/camenduru/text2video-zero/resolve/main/huggingface/hub/version_diffusers_cache.txt
- Command line
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hf download hf://camenduru/text2video-zero/huggingface/hub/version_diffusers_cache.txt
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curl -L -o version_diffusers_cache.txt https://huggingface.co/camenduru/text2video-zero/resolve/main/huggingface/hub/version_diffusers_cache.txt
1 Bytes
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