Mastering the unpredictable artistry of machine learning for visuals.
Aiming for Reproducible Results
Using cloud-based text-to-image models can sometimes result in unpredictable or non reproducible results due to automatic upgrades or workflow changes. Using local or open-source software may provide more control and stability to fully control your own workflows.
Enhance CGI renders
Rendered with Fooocus photographic in-paint at full 4K Blender render. image prompt “high quality kodak film grain”
Enhance specific parts of CGI
Using machine learning’s natural diversity to enhance CGI for more realistic human and environment visuals.
The ‘unlearnable’ product is rendered with a physically based renderer. An integrated mask keeps the product’s specific design.
A picture is worth a thousand words
Text-to-image models with only prompt engineering may limit visual artists’ control over their creations, possibly making it an insufficient tool for future artistic endeavors.
