Instructions to use songkey/pd_fgc_motion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use songkey/pd_fgc_motion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("songkey/pd_fgc_motion", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
metadata
library_name: diffusers
Adapted from: https://github.com/Dorniwang/PD-FGC-inference/blob/main/lib/models/networks/encoder.py
Model of HelloMeme
Project Page | Code Page | Arxiv | ComfyUI | Demo
BibTeX:
@misc{zhang2024hellomemeintegratingspatialknitting,
title={HelloMeme: Integrating Spatial Knitting Attentions to Embed High-Level and Fidelity-Rich Conditions in Diffusion Models},
author={Shengkai Zhang and Nianhong Jiao and Tian Li and Chaojie Yang and Chenhui Xue and Boya Niu and Jun Gao},
year={2024},
eprint={2410.22901},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2410.22901},
}