Instructions to use Remade-AI/Doom-FPS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Remade-AI/Doom-FPS with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.1-T2V-14B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Remade-AI/Doom-FPS") prompt = "The [d00m doom first person gameplay] showcases a player using a rocket launcher in a room with a cyberdemon, the text \"TARGET ACQUIRED\" flashing." output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- Xet hash:
- 861555f2944328d272d1d5643e6502f6f3f06052c9817aba1f1621dd7af08d00
- Size of remote file:
- 2.01 MB
- SHA256:
- cdc1963bcc79574ee109f2b286df2dac89cfe6b9094fc47d6b6604229484fcdb
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