Local-first rendering pipeline for professional AI generation
View on GitHubProfessional AI generation tools shouldn't force you to work around them. FUK integrates into your existing workflows with proper project organization, native lossless EXR support, and stable infrastructure that doesn't break with every update.
Your hardware. Your models. Your data. No mandatory cloud services. No compromises.
What you'll need to run FUK effectively on your local hardware.
Image and video generation with proper project/shot/version organization. Industry-standard hierarchies that integrate with existing pipelines.
Depth maps, normal passes, cryptomattes. Multi-layer 32-bit EXR export ready for professional applications.
Preprocessor integration for OpenPose, depth, edge detection and regional conditioning via masked zones. Generate with precision using external image inputs.
Upscaling via Real-ESRGAN and frame interpolation via FILM. Professional quality enhancement for generated content.
Runs entirely on your hardware. No telemetry, no cloud requirements, no surprise authentication. Your data stays yours.
Built on stable APIs without fragile dependencies. Tools that work today will work tomorrow without breaking your pipeline.
Recently landed features. Full details are in the wiki.
Plan a whole shot list before you generate a frame. Panels carry their own prompt, mood, and seed, with project-wide tags and active LoRAs shared across them.
Read more in the wiki →Type # in any prompt field to autocomplete reusable markers for characters, props, locations, and style — expanded automatically at generation time.
Point it at a folder of images, pick a content preset, and it curates and captions a training-ready dataset automatically.
Read more in the wiki →Drive FUK straight from Blender's viewport — scene-accurate control passes, live IPR-style preview, and VACE video generation from your camera moves.
Read more in the wiki →Active development with a clear direction. No hype, just what's actually being worked on.