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:
- 7e22dc73e16e2cdac8a16124cfa967a2fee41e64e2897b651eca0f3c189f1176
- Size of remote file:
- 10 GB
- SHA256:
- fc87b1fe1e814c38fa8bf99bb1fbf253c179f987bf49c0722a3ba48587ed45ce
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