Instructions to use Muapi/everything-blossoms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/everything-blossoms 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-Diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/everything-blossoms") 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 Settings
- Draw Things

- Xet hash:
- c9b03d13976856c7b15e034e1f72a658053c03bf97c841d5ffa60fac1d4118a1
- Size of remote file:
- 2.23 MB
- SHA256:
- 18dc82b0ea9aac0cb1d72695585b7a94ca70473c636f61d432e32ca3f4857a45
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