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
Download evoke-base/configuration.json from AlayaLab/Evoke: direct link, hf CLI and curl.
- Browser
- Download file 56 Bytes
-
https://huggingface.co/AlayaLab/Evoke/resolve/main/evoke-base/configuration.json
- Command line
-
hf download hf://AlayaLab/Evoke/evoke-base/configuration.json
-
curl -L -o configuration.json https://huggingface.co/AlayaLab/Evoke/resolve/main/evoke-base/configuration.json
56 Bytes
| {"framework":"Pytorch","task":"text-to-video-synthesis"} |