Instructions to use amd/HummingbirdXT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use amd/HummingbirdXT with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("amd/HummingbirdXT", 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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Image-to-Video Generation
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<td><video src="https://github.com/user-attachments/assets/97beef02-ed76-4635-8b36-a296c227cab1" width="480" controls autoplay loop muted></video></td>
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<td><video src="https://github.com/user-attachments/assets/6698d25f-e839-4acd-b5cd-af8f325d37fc" width="480" controls autoplay loop muted></video></td>
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<td><video src="https://github.com/user-attachments/assets/064c242a-4ee5-429e-9a9b-9b12df076c96" width="480" controls autoplay loop muted></video></td>
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