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") - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Download fire_12_epochs.safetensors from Remade-AI/Fire: direct link, hf CLI and curl.
- Browser
- Download file 307 MB
-
https://huggingface.co/Remade-AI/Fire/resolve/main/fire_12_epochs.safetensors
- Command line
-
hf download hf://Remade-AI/Fire/fire_12_epochs.safetensors
-
curl -L -o fire_12_epochs.safetensors https://huggingface.co/Remade-AI/Fire/resolve/main/fire_12_epochs.safetensors
307 MB
- Xet hash:
- 25dbc24585376ffa7075d438e0017483078f5643721e8481f3f46961f266ff59
- Size of remote file:
- 307 MB
- SHA256:
- c58a28316af75f7f87d8808a21cd547eea445dda37872964e655c91f461ed003
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