Build a Private, Offline AI Prompt Lab: No Cloud Logging, No Account Risk

Some creative work shouldn't leave your computer: dark fantasy and horror concepts, fine-art anatomy studies, political satire, or simply client material under NDA.

Cloud multimodal APIs apply automated content moderation, so even a harmless request to analyze a mature or dark image can be refused or flagged, and your requests are handled under the provider's own logging and retention policies. If your process depends on a cloud API, your research history and your access both depend on someone else's rules.

Here is how to set up a private, offline prompt-research workstation on your own machine.

The offline prompt-research stack

[Local images / generation output]
          |
          v
[Local vision model]   Ollama: minicpm-v or qwen2.5vl:3b
          |   nothing is sent to a cloud provider
          v
[Local text model]     Ollama: qwen2.5:3b (tag translation)
          |
          v
[mysnipbox library]    local SQLite, in a folder you choose

1. Offline vision deconstruction

Pair Ollama with a vision model such as minicpm-v or qwen2.5vl:3b and mysnipbox reads your images on your own machine: creature designs, anatomical sketches, moody lighting setups. Without a cloud key, nothing is sent to an AI provider. Plan on about 16GB of memory for minicpm-v, or about 8GB for qwen2.5vl:3b; see Local models (Ollama).

2. Local tag translation

Translating tags with a cloud service means sending your tag text to it. A small local model such as qwen2.5:3b can do that translation on-device instead, so even your keywords stay with you.

3. What stays on your machine

• Your library, tag data and translations live in a local SQLite database in a folder you choose.
• Your images aren't sent through our servers, and telemetry is off by default in the desktop app.
• With a local model selected, the decomposition path makes no external calls.

What "offline" does and doesn't mean

Being honest matters here. Local models are still trained and tuned by their makers, and some may decline certain requests. What changes is where the work happens: no image is sent to a provider, no account is involved, and no usage is rate-limited or logged by someone else. If one local model is too cautious for your material, try another.

Get started

1. 1Install Ollama and set it up for desktop apps with the Ollama setup guide.
2. 2Pull a vision model and a small text model.
3. 3Choose Ollama as your provider in mysnipbox and decompose your first image.
4. 4Keep your library on a drive you control.