Private AI Image Generator: What Stays on Your Device
For the strongest no-cloud privacy, use an image generator that runs downloaded model weights on your own computer, then disable its optional online features and disconnect the network while generating. That removes a hosted inference provider from the prompt-to-image path. It does not automatically disable app telemetry, plugins, updates, cloud-synced folders, or metadata saved inside output files, so “local” still needs verification.
The short answer
A private AI image generator should perform inference on hardware you control and save inputs and outputs to storage you control. The clearest verification is practical: download the app and model files from official sources, turn off optional online features, disconnect Wi-Fi or Ethernet, and confirm that a generation still completes.
ComfyUI is the most configurable choice across Windows, Linux and macOS. Fooocus is a simpler SDXL-focused option, although its official project is now in limited long-term support. DiffusionBee is a straightforward macOS option. InvokeAI provides a local creative interface with model-dependent hardware requirements.
If the UI decision is still open, compare AUTOMATIC1111 and ComfyUI. If you prefer a packaged paid option, read the owner-disclosed LocalForge product guide.
What “no cloud” should mean
“Private,” “local” and “no cloud” are often used as if they were interchangeable. Check four separate layers:
- Inference: Does the model execute on your CPU, GPU or Apple silicon, or does the interface send the prompt to an external API?
- Network features: Does the app include telemetry, sign-in, update checks, model browsers, partner nodes or cloud APIs?
- Storage: Are prompts, source images and outputs written only to a local folder, or is that folder synchronized by OneDrive, iCloud, Dropbox or another service?
- Extensions: Do custom nodes, plugins or workflow components contact third-party services?
Passing the first test is necessary, but it does not prove the other three. A browser interface at 127.0.0.1 can still contain optional features that use the internet. Likewise, a hosted service can promise short retention while still processing your prompt on someone else's server. That may be adequate for some users, but it is not the same architecture as offline, on-device inference.
Local options with verifiable privacy controls
ComfyUI: explicit controls
ComfyUI's official repository says its core works fully offline and does not download anything unless the user asks it to. It also documents optional API nodes for external providers. For a stricter local session, the official --disable-api-nodes flag disables those API nodes and prevents the frontend from communicating with the internet.
ComfyUI Desktop has a Share anonymous usage telemetry preference, so do not describe every default installation as “no tracking.” Review that setting. ComfyUI also documents --disable-metadata for users who do not want prompt metadata written into output files. Keep the server bound to its default loopback address unless you intentionally need LAN access; the documented default is 127.0.0.1.
Choose ComfyUI if you want to inspect the workflow and separate local nodes from online API nodes. Its node interface takes more learning than a one-screen generator.
Fooocus: simpler SDXL generation, limited maintenance
Fooocus describes itself as offline, open-source and free, with a prompt-first interface. Its official hardware table lists 4 GB of VRAM and 8 GB of system memory as a minimum for supported NVIDIA RTX cards. AMD support is more qualified: the project lists 8 GB of VRAM for AMD on Windows through DirectML and calls AMD support experimental.
Fooocus is now in limited long-term support with bug fixes only. That does not make it unusable, but it matters for security, compatibility and future model support. Choose it when a simpler SDXL workflow matters more than active feature development.
DiffusionBee: a local macOS path
DiffusionBee's official site says generation runs locally and that prompts, models and generated images stay on the device. Its repository adds an important exception: the app needs network access to download weights, and data can leave the device if the user chooses an upload feature.
The current site requires macOS 13.1 or later and recommends Apple silicon. Choose DiffusionBee when you use a Mac and want an app-style interface, then complete model downloads before testing an offline session.
InvokeAI: local canvas workflows with model-specific requirements
InvokeAI supports local installation on Windows, macOS and Linux. Its official hardware guide calls its numbers rough guidelines because requirements change with the model and output size. It lists 4 GB VRAM for SD 1.5, 8 GB for SDXL and 10 GB for FLUX.1 on NVIDIA systems; Apple silicon works with 16 GB or more unified memory recommended.
Invoke also supports API-backed models, so “InvokeAI” alone does not prove that a specific workflow is no-cloud. Choose locally installed models and audit the workflow before using sensitive inputs.
A no-cloud privacy check you can repeat
Use this check before putting confidential client work, private photos or unpublished concepts into any generator:
- Download the installer and model weights from the project's official repository or documentation.
- Read the model license. “Downloadable” does not mean every model has the same commercial or usage rights.
- Finish required downloads and updates before the private session.
- Disable telemetry and online/API features when the app provides those controls.
- Avoid unreviewed extensions, custom nodes and workflows that depend on remote APIs.
- Save inputs and outputs outside cloud-synchronized folders.
- Disconnect the network and generate a non-sensitive test image.
- If your risk is high, use operating-system firewall or network-monitoring tools and have your security team review the result. An offline generation test shows that generation can work without a connection; it does not prove that the software never connects when the network is available.
- Check whether output files contain prompt or workflow metadata before sharing them.
This checklist reduces exposure to an image-generation vendor. It does not replace device encryption, access controls, backups, malware protection or an organization's data-handling policy.
How much hardware do you need?
There is no honest universal VRAM number. Requirements depend on the model family, precision, resolution, workflow and software:
- SD 1.5: InvokeAI lists 4 GB VRAM and 8 GB system RAM as a rough minimum.
- SDXL: InvokeAI lists 8 GB VRAM and 16 GB system RAM.
- FLUX.1: InvokeAI lists 10 GB VRAM and 32 GB system RAM.
- FLUX.2 klein 4B: Black Forest Labs describes the local open-weight model as running at about 13 GB VRAM.
- CPU-only: Some tools expose CPU modes, but official documentation warns that local generation is slow without a GPU.
Quantized community builds may lower memory use, but results and requirements vary. Pick the model family your computer can run before choosing the interface.
Local privacy versus cloud privacy
A cloud provider can offer private generations, encrypted transport or limited retention. Those controls may be useful, especially when local hardware is unavailable. They still require trusting the provider's systems and current policy.
Midjourney's own documentation illustrates the distinction: content is publicly viewable by default, while Stealth mode is available on Pro and Mega plans. Midjourney also warns that creations made in shared Discord spaces remain visible to people in those spaces even with Stealth mode.
Local inference changes the architecture: the prompt can be processed without sending it to an inference provider. Your actual privacy still depends on the app configuration, operating system, extensions, storage and network state.
Where LocalForge fits
Disclosure: OfflineCreator publishes this guide and sells LocalForge AI. We have not independently network-tested the current package for this audit, so verify its behavior on your own system before using sensitive material.
LocalForge is the paid, preconfigured option sold by this site for people who do not want to assemble a local stack themselves. Its product page says generation runs on the user's hardware without cloud compute. Treat that as a vendor statement, not independent evidence, and apply the same offline test and storage checks described above. Free tools remain valid choices.
Keep privacy separate from unrestricted generation
No-cloud privacy and content-policy freedom are different questions. This page is about where prompts and images are processed and stored. It does not recommend NSFW models, bypass filters or rank unrestricted tools. Keeping those intents separate gives privacy-focused readers a useful answer without turning the page into a setup or uncensored-model guide.
Choose your next step
- Choose a local UI at AUTOMATIC1111 vs ComfyUI.
- Review the disclosed paid option in the LocalForge owner-authored guide.