Text-to-Video
Diffusers
TTAnimateDiffPipeline
animatediff
blackhole
p150
stable-diffusion
tenstorrent
thin
tt-dit-server
tt-metal
tt-model-cache
ttnn
video-generation
Instructions to use episod/tt-animatediff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use episod/tt-animatediff with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("episod/tt-animatediff", 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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