Video-to-Video
Diffusers
Safetensors
g-buffer
neural-rendering
real-time
autoregressive
video-diffusion
supertuxkart
Instructions to use AlayaLab/AlayaRenderer-Flash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlayaLab/AlayaRenderer-Flash 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/AlayaRenderer-Flash", 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 samples/window-00.npy from AlayaLab/AlayaRenderer-Flash: direct link, hf CLI and curl.
- Browser
- Download file 89.5 MB
-
https://huggingface.co/AlayaLab/AlayaRenderer-Flash/resolve/main/samples/window-00.npy
- Command line
-
hf download hf://AlayaLab/AlayaRenderer-Flash/samples/window-00.npy
-
curl -L -o window-00.npy https://huggingface.co/AlayaLab/AlayaRenderer-Flash/resolve/main/samples/window-00.npy
89.5 MB
- Xet hash:
- 2c0051e4cec38cbdd0b4e5ef6d98ae37b43c1ee38788a5a5885e1370e80d9427
- Size of remote file:
- 89.5 MB
- SHA256:
- 934eaef40dd91fdeca39ed4d6dd66685b5a03388c3e32f06af7f141d77d3d73d
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