Instructions to use xmuhtt/LiveAct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xmuhtt/LiveAct 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("xmuhtt/LiveAct", dtype=torch.bfloat16, device_map="cuda") pipe.to("cuda") prompt = "A man with short gray hair plays a red electric guitar." image = load_image( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" ) output = pipe(image=image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
File size: 507 Bytes
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"_class_name": "WanModel",
"_diffusers_version": "0.35.0.dev0",
"_name_or_path": "/wan2.1_i2v_480p_lightx2v_memoryinit",
"audio_window": 5,
"context_tokens": 32,
"dim": 5120,
"eps": 1e-06,
"ffn_dim": 13824,
"freq_dim": 256,
"in_dim": 36,
"intermediate_dim": 512,
"model_type": "i2v",
"norm_input_visual": true,
"norm_output_audio": true,
"num_heads": 40,
"num_layers": 40,
"out_dim": 16,
"output_dim": 768,
"text_len": 512,
"vae_scale": 4,
"weight_init": false
}
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