| Soo, I made a plugin that allows LLMs inside LM Studio to feed images from the web into themselves for analysis. They will chain the tools depending on the task. No MCP/APIs/Registration — these are simple scripts that can be installed in 1-click from the LM Studio website. (Yes, LM Studio has plugin support!). All you need is a model with Vision (Qwen 3.5 9b / 27b are both great) I also updated the Duck-Duck-Go and Visit Website plugins to be able to work with images; and added some extra:
You can see few examples of this in the screenshots. Links: In case anyone needs it, my Jinja Prompt Template: Pastebin (fixed the problem with tool call errors for me) System Prompt:
Link to the previous post [link] [comments] |
LLMs in LM Studio can now grab images from the internet and look at them/show you
Reddit r/LocalLLaMA / 3/25/2026
💬 OpinionDeveloper Stack & InfrastructureSignals & Early TrendsTools & Practical Usage
Key Points
- A developer has released LM Studio plugins that let local LLMs fetch images from the web and use them for vision-based analysis within the chat workflow.
- The setup is designed to be “1-click” via LM Studio’s plugin support, requiring a vision-capable model (e.g., Qwen 3.5 vision variants).
- Updated Duck-Duck-Go and “visit website” style plugins can handle images by generating thumbnails for chat embedding to reduce clutter while still using full-resolution images for analysis when available.
- The plugins can guide the LLM to either embed images directly or present them as a markdown gallery/table when users request many images, enabling more flexible multimodal responses.
- The post shares example plugin links and prompt/template guidance intended to minimize tool-call errors and improve generation behavior (sampling and repetition controls).
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