Instructions to use Remade-AI/Hug-Jesus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Remade-AI/Hug-Jesus 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/Hug-Jesus") prompt = "A studio portrait of a young black man is smiling at the camera while in a bright mustard-yellow t-shirt. He is holding the face of Jesus. Then, h54g hugs jesus in a loving embrace as they are smiling. The background subtly changes as they begin to hug." 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") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- Xet hash:
- 5f7b6891a62b7571c14c7d924cb5a5af2251fb15abebec01a84d4595f9672661
- Size of remote file:
- 1.02 MB
- SHA256:
- 739777910096b2d727d3bce1ba3b738b730dc303c0d3d172e2941fa31779c6d7
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