Instructions to use Remade-AI/Muscle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Remade-AI/Muscle with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.1-I2V-14B-480P-Diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Remade-AI/Muscle") prompt = "Donald Trump speaking into a microphone, then t2k1s takes off clothes revealing a lean muscular body and shows off muscles, pointing his index finger." input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png") output = pipe(image=input_image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Download example_videos/man1_muscle.mp4 from Remade-AI/Muscle: direct link, hf CLI and curl.
- Browser
- Download file 411 kB
-
https://huggingface.co/Remade-AI/Muscle/resolve/main/example_videos/man1_muscle.mp4
- Command line
-
hf download hf://Remade-AI/Muscle/example_videos/man1_muscle.mp4
-
curl -L -o man1_muscle.mp4 https://huggingface.co/Remade-AI/Muscle/resolve/main/example_videos/man1_muscle.mp4
411 kB
- Xet hash:
- a54bd0d78640e79d30d468731b43421268e8a01654ee288e0d21a032c60d062f
- Size of remote file:
- 411 kB
- SHA256:
- fa1af731ab58c5050bedca99b2c8a428260ae5a37aefd0a2f271863e04d08f72
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