Image-to-Video
Diffusers
Safetensors
English
Chinese
video generation
conversational video generation
talking human video generation
Instructions to use MeiGen-AI/MeiGen-MultiTalk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MeiGen-AI/MeiGen-MultiTalk 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("MeiGen-AI/MeiGen-MultiTalk", 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
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> - 👥 Interactive Character Control - Direct virtual humans via prompts
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> - 🎤 Generalization Performances - Supports the generation of cartoon character and singing
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> - 📺 Resolution Flexibility: 480p & 720p output at arbitrary aspect ratios
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This repository hosts the model weights for **MultiTalk**. For installation, usage instructions, and further documentation, please visit our [GitHub repository](https://github.com/MeiGen-AI/MultiTalk).
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> - 👥 Interactive Character Control - Direct virtual humans via prompts
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> - 🎤 Generalization Performances - Supports the generation of cartoon character and singing
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> - 📺 Resolution Flexibility: 480p & 720p output at arbitrary aspect ratios
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> - ⏱️ **Long Video Generation**: Support video generation up to 15 seconds
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This repository hosts the model weights for **MultiTalk**. For installation, usage instructions, and further documentation, please visit our [GitHub repository](https://github.com/MeiGen-AI/MultiTalk).
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