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
Commit History
21 days ago
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Remove superseded animatediff_ttnn-0.11.1 wheel (the bundle installs 0.11.2)
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card: 0.11.2 changelog and provenance
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animatediff-ttnn 0.11.2: Phase 3 motion loader defaults to the pinned adapter repo; served output unchanged
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Remove superseded animatediff_ttnn-0.11.0-py3-none-any.whl (the bundle installs 0.11.1)
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card: standardize to the tt-model card template; add measured performance
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animatediff-ttnn 0.11.1: pinned weights, restore Gradio app.py, runner renamed to tt_model_server.py
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Upload README.md with huggingface_hub
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Fix requirements.txt collision: restore the diffusers-curated file, move tt-model pins to tt-model-requirements.txt
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Upload README.md with huggingface_hub
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tt-model package-thin tt-animatediff (v6 thin)
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Upload folder using huggingface_hub
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Upload folder using huggingface_hub
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Upload folder using huggingface_hub
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initial commit
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