Instructions to use CiaraRowles/temporal-controlnet-lineart-svd-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CiaraRowles/temporal-controlnet-lineart-svd-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CiaraRowles/temporal-controlnet-lineart-svd-v1", 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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README.md
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@@ -14,7 +14,9 @@ Introducing the Stable Video Diffusion Temporal Controlnet! This tool uses a con
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## Demo
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## Notes
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- **Focus on Central Object:** The system tends to extract motion features primarily from a central object and, occasionally, from the background. It's best to avoid overly complex motion or obscure objects.
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## Demo
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<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/63357214eb6132ca653020e7/RkjfJ8IKuZA-tYa-XS99y.mp4"></video>
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## Notes
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- **Focus on Central Object:** The system tends to extract motion features primarily from a central object and, occasionally, from the background. It's best to avoid overly complex motion or obscure objects.
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