Instructions to use Remade-AI/Fire with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Remade-AI/Fire 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/Fire") prompt = "A lone tree stands silhouetted against the backdrop of a wildfire consuming a vast forest, the sky filled with smoke." output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- Xet hash:
- 97671d0c3b69e382b52f01a522cc873b6a68127fc1188537a00a3b555469d581
- Size of remote file:
- 1.33 MB
- SHA256:
- a02b91335175eaa353074662829fd7b22201a5e07792b72e811366fad36c6bd3
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