Instructions to use Muapi/galaxyace-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/galaxyace-lora 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("Lightricks/LTX-Video", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/galaxyace-lora") prompt = "A man with short gray hair plays a red electric guitar." output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things

- Xet hash:
- 9bf2c5bab08ecef3131e2e2a0a38f4649c6c8fa0746f2a2c2bfe33cdf9ba1178
- Size of remote file:
- 1.74 MB
- SHA256:
- 492d5ebccfeaba63b876b925da60e94a5b509c1d7958271c087e24556cdfae8b
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