Instructions to use CNcreator0331/DomainShuttle_weight with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CNcreator0331/DomainShuttle_weight with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CNcreator0331/DomainShuttle_weight", 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
Commit History
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Add model card, link to paper and project page
Verified signatureThis PR improves the model card for **DomainShuttle** by: - Setting the correct `pipeline_tag: text-to-video` to make the model discoverable on the Hugging Face Hub. - Updating the license to `apache-2.0` as specified in the GitHub README. - Linking to the research paper, project page, and official GitHub repository.ffc83d3
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Add files using upload-large-folder tool
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initial commit
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