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,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") image = pipe(image=input_image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- Xet hash:
- ef9a8fdc63437bba2abda1b79e67c9beae08c67c08d2222e23c2dc88a09fa29f
- Size of remote file:
- 359 MB
- SHA256:
- a10ba09bfaee0128f64660c32c5e86dd86c1b00fbfd2db0200748d79bb8e4d25
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