Instructions to use Shriramnag/Shiv-AI-Video-Generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shriramnag/Shiv-AI-Video-Generator with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Shriramnag/Shiv-AI-Video-Generator", 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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Synced official GitHub structure with Shiv AI branding
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Synced official GitHub structure with Shiv AI branding
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Upgraded to Shiv AI Pro with Multi-Model Integration
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Added Master app.py with Shri Ram Nag branding
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Upload folder using huggingface_hub
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initial commit
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