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 Settings
- Draw Things

- Xet hash:
- 5aefeb1c36c95f3feb3b54dfc34f2e27f7a9e06ac03c6d4659c496a849c0fdb4
- Size of remote file:
- 249 kB
- SHA256:
- f22c6d02c83ac51efe39a78dead4d74dcde7b7429d80e01b6ea3ef0ec76cadb1
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