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A ~9 GB checkpoint; a 12 to 16 GB CUDA GPU is the realistic target.
| CUDA | ROCm | Intel Arc | Apple Silicon | Vulkan | NPU | CPU | |
|---|---|---|---|---|---|---|---|
| PyTorch, isolated |
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The desktop app is open source under AGPL-3.0, so yes. Pro and Lifetime are a separate, closed-source build with a paid Commercial License and extra features, for teams that need commercial terms.
Licence guideNo account, no cloud. It only goes online when you ask it to: checking for updates or downloading a model.
PrivacyNope. About 8 GB of RAM is enough to start. A GPU just makes everything faster.
System needsOnly with the owner's say-so. Impersonation and fraud are off the table.
The rulesWrite to us or open an issue. Real inboxes, answered within two business days.
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