Your workstation does the work.
Run supported models on your own hardware. Bring image, video and 3D workflows into one creative workspace.
Meet Rawrr: a local-first AI creative platform for images, video and 3D. Make it yours with LoRAs. Keep confidential creative work on your workstation—not in a cloud generation queue.
Apply for early accessClosed beta planned for mid-November 2026.
Run supported models on your own hardware. Bring image, video and 3D workflows into one creative workspace.
Locally executed models do not need a paid inference API for each generation. Your hardware, electricity, software and model licensing costs still apply.
Work with confidential briefs, client assets and unreleased concepts without uploading them to a remote inference service in fully local workflows. Choose what leaves your machine—and when.
Go beyond a generic look. LoRAs are lightweight model adaptations that can bring a distinctive style, subject or visual identity to compatible models. Rawrr’s creative direction puts these personalized workflows alongside local generation.
Rawrr is in development. These benefits describe local workflows—not a promise of zero risk, universal compatibility, or zero cost. This website separately processes beta applications. Explore how local AI works ↗
Rawrr is a local-first AI creative platform in development for image, video and 3D workflows, with a closed beta planned for mid-November 2026. It is designed around creators’ own workstations.
LoRAs let creators adapt compatible models toward a particular style or subject without replacing the entire base model. They can help build a recognizable visual direction across projects. Compatibility, results and usage rights depend on the base model and LoRA; Rawrr’s supported workflows will be confirmed during beta.
For models running locally, there is no third-party per-generation inference API fee. That does not mean the whole product is free: hardware, power, software and model licences may cost money. Any optional external service has its own pricing. Rawrr pricing has not been announced.
In a fully local workflow, inference runs on your machine without sending prompts and source assets to a remote inference service. External services or sharing change that boundary. The beta application form sends the information you enter to the project operator via Cloudflare and Gmail; see the privacy notice.
No software can guarantee that. Local processing reduces the need to send creative work to a third party, but device security, model and plugin trust, backups and integrations still matter. Do not treat a local-first label as a security certification.
Requirements depend on the model, workflow, resolution and available VRAM. A final supported-hardware matrix has not been published. Tell us your OS, GPU and memory in the application; there is no blanket promise that every device will be supported.
The closed beta is planned for mid-November 2026. Apply below; selected testers receive an email invitation. Applying is free, does not guarantee access, and is not a software purchase.
Meet the project ↗ · Local AI: privacy, costs and trade-offs ↗
We’re inviting a small group of creators to put Rawrr through its paces. Tell us what you do, what you want to make, and what you’re working with.
Closed beta · Mid-November 2026
Applications are reviewed individually.
Selected testers will receive an email invite.
Practical guides for designers, independent creators and studio directors exploring AI on their own hardware.