Image-to-Video
Diffusers
Safetensors
English
Chinese
video generation
conversational video generation
talking human video generation
Instructions to use backups/MeiGen-MultiTalk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use backups/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("backups/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
- Xet hash:
- a860f14474831abb1727baef5b6c69f3dabe0f7553ff865a1a3d2d667ec85edb
- Size of remote file:
- 20.9 MB
- SHA256:
- bad4761a7cdd684c1cfaad6a6276d4c6053492c57b706148975ea04fa7813e94
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