KandiSuperRes is an open-source diffusion model for x4 super resolution. This model is based on the
Kandinsky 3.0
architecture with some modifications. For generation in 4K, the
MultiDiffusion
algorithm was used, which allows to generate panoramic images. For more information: details of architecture and training, example of generations check out our
Habr post
.
Installing
To install repo first one need to create conda environment:
Runs of ai-forever KandiSuperRes on huggingface.co
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More Information About KandiSuperRes huggingface.co Model
KandiSuperRes huggingface.co
KandiSuperRes huggingface.co is an AI model on huggingface.co that provides KandiSuperRes's model effect (), which can be used instantly with this ai-forever KandiSuperRes model. huggingface.co supports a free trial of the KandiSuperRes model, and also provides paid use of the KandiSuperRes. Support call KandiSuperRes model through api, including Node.js, Python, http.
KandiSuperRes huggingface.co is an online trial and call api platform, which integrates KandiSuperRes's modeling effects, including api services, and provides a free online trial of KandiSuperRes, you can try KandiSuperRes online for free by clicking the link below.
ai-forever KandiSuperRes online free url in huggingface.co:
KandiSuperRes is an open source model from GitHub that offers a free installation service, and any user can find KandiSuperRes on GitHub to install. At the same time, huggingface.co provides the effect of KandiSuperRes install, users can directly use KandiSuperRes installed effect in huggingface.co for debugging and trial. It also supports api for free installation.