Text-to-Video
Diffusers
Safetensors
video-generation
game-rendering
game-editing
diffusion
g-buffer
relighting
wan2.1
Instructions to use AlayaLab/AlayaRenderer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlayaLab/AlayaRenderer 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", 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
- Xet hash:
- d6dc9d5d635f1d9576907204143edfac904f1d845cd248791029194346bdc890
- Size of remote file:
- 2.84 GB
- SHA256:
- 6ad3f92058110417e68e56c53fc11ce8f077a4dea2689c3a0fef43251d8da853
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