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:
- 08b70dfaf5549b670e5d880aa73b1962f4209a096b0e938c6ebf037aea7a3d4d
- Size of remote file:
- 10 GB
- SHA256:
- ca8f01e08f641ac65514d30b2d241e183f3629278111c2733f66dcc93aeae43e
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