GAN-based Super-Resolution for upscaling generated images, a variation of the
GigaGAN
paper for image-conditioned upscaling. Torch implementation is based on the unofficial
lucidrains/gigagan-pytorch
repository.
Usage
$ pip install aura-sr
from aura_sr import AuraSR
aura_sr = AuraSR.from_pretrained("fal-ai/AuraSR")
AuraSR huggingface.co is an AI model on huggingface.co that provides AuraSR's model effect (), which can be used instantly with this fal AuraSR model. huggingface.co supports a free trial of the AuraSR model, and also provides paid use of the AuraSR. Support call AuraSR model through api, including Node.js, Python, http.
AuraSR huggingface.co is an online trial and call api platform, which integrates AuraSR's modeling effects, including api services, and provides a free online trial of AuraSR, you can try AuraSR online for free by clicking the link below.
AuraSR is an open source model from GitHub that offers a free installation service, and any user can find AuraSR on GitHub to install. At the same time, huggingface.co provides the effect of AuraSR install, users can directly use AuraSR installed effect in huggingface.co for debugging and trial. It also supports api for free installation.