Instructions to use huaichang/PersonaLive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use huaichang/PersonaLive 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("huaichang/PersonaLive", 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
SD 1.5 Link Is Broken
#1
by dns - opened
The link for SD 1.5 on the Model Card page is broken.
https://huggingface.co/runwayml/stable-diffusion-v1-5
Thank you for this release.
Thanks for your feedback, I have updated the Model Card page:
Download pre-trained weight of based models and other components (sd-image-variations-diffusers and sd-vae-ft-mse).