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") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
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<li><b>Base Model:</b> Wan2.1 14B T2V</li>
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<li><b>Training Data:</b> Trained on 2.5 minutes of video comprised of 35 short clips (each clip captioned separately) of various Doom gameplay recordings.</li>
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<li><b> Epochs:</b>
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<li><b>Base Model:</b> Wan2.1 14B T2V</li>
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<li><b>Training Data:</b> Trained on 2.5 minutes of video comprised of 35 short clips (each clip captioned separately) of various Doom gameplay recordings.</li>
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<li><b> Epochs:</b> 8</li>
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