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
Download example_videos/doom3.mp4 from Remade-AI/Doom-FPS: direct link, hf CLI and curl.
- Browser
- Download file 1.38 MB
-
https://huggingface.co/Remade-AI/Doom-FPS/resolve/main/example_videos/doom3.mp4
- Command line
-
hf download hf://Remade-AI/Doom-FPS/example_videos/doom3.mp4
-
curl -L -o doom3.mp4 https://huggingface.co/Remade-AI/Doom-FPS/resolve/main/example_videos/doom3.mp4
1.38 MB
- Xet hash:
- f176955d76a902c9f588c0d44d48ae835f7003b1367a13182725ffde7912d80b
- Size of remote file:
- 1.38 MB
- SHA256:
- 0bfae123313b846de1ef125d5ce17499054d2ee9266b638bfd50b863c56b50ba
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