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
Commit History
Today
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Model card: rename to AlayaRenderer-Flash
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3 days ago
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Update code link to AlayaLab GitHub
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5 days ago
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Update links: AlayaGear GitHub, AlayaLab weights
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Add sample G-buffer windows; update model card usage
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Initial release: checkpoint-600 (SuperTuxKart) in safetensors
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initial commit
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