Text-to-Video
Diffusers
Safetensors
world-model
video-generation
image-to-video
interactive
distillation
Instructions to use AlayaLab/Evoke with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlayaLab/Evoke with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AlayaLab/Evoke", 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
Point the download command at AlayaLab/Evoke
Browse files
README.md
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git clone https://github.com/AlayaLab/Evoke && cd Evoke
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pip install -r requirements.txt
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hf download
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hf download pkqbajng/ViGeo --local-dir models/ViGeo1.1 # REQUIRED depth backend
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MODE=t2v NUM_CHUNKS=20 bash scripts/inference/infer_post_distill.sh
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git clone https://github.com/AlayaLab/Evoke && cd Evoke
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pip install -r requirements.txt
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hf download AlayaLab/Evoke --local-dir models
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hf download pkqbajng/ViGeo --local-dir models/ViGeo1.1 # REQUIRED depth backend
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MODE=t2v NUM_CHUNKS=20 bash scripts/inference/infer_post_distill.sh
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