Text-to-Video
Diffusers
English
video
image-to-video
world-model
game-world-model
fighting-game
street-fighter
behavior-cloning
diffusion
Instructions to use INV-WZQ/ReactiveGWM-Models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use INV-WZQ/ReactiveGWM-Models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("INV-WZQ/ReactiveGWM-Models", 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:
- 2801c11d2673adbb6bed041a65b3c8ac7b7616e8582be196277ce9d0954257cf
- Size of remote file:
- 10 GB
- SHA256:
- d704abc669d9cb796f7020983364e599f5c01fa2436703b84a8bf92d65b8c1b1
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