ausboss
4e435e3013
Every display name swaps ' (AusBoss)' for ' 🆎' - menus, docs, tooltips,
the README, and the example workflow's notes. Mapping keys never change,
so saved workflows keep loading; 'ausboss' keeps finding everything via
the category, the AUSBOSS_NODES_ prefix, and SEARCH_ALIASES. Python error
messages drop the suffix entirely so exception text stays ASCII for
cp1252 consoles.
The LM Studio endpoint toolbar declared no getMinHeight, so the frontend
gave its wrapper a 12px sliver and the buttons clipped; it now declares
32px through every sizing path, and the buttons breathe at 22px.
2.7 KiB
2.7 KiB
LM Studio Chat
Sends a prompt — and optionally an image — to a local LM Studio server and returns the reply as text. Anything that speaks the OpenAI-compatible chat API works too: Ollama's compatibility mode, llama.cpp's server, a remote box. Typical jobs: expanding a rough idea into a full prompt, captioning an image for img2img, or rewriting text mid-workflow.
Controls
- prompt: What to ask. Required unless an image is connected — an image with an empty prompt asks for a plain description.
- system_prompt (optional): Role and rules, e.g. "You write single-paragraph Stable Diffusion prompts. No preamble, no quotes." Empty sends no system message.
- endpoint: The server's base URL — LM Studio shows it on the Developer
tab, default
http://127.0.0.1:1234/v1. A barehost:portor a full/v1path both work. - model: Model identifier as LM Studio lists it. Empty uses whatever the server has loaded, which is the everyday case — no fetched dropdown to go stale when LM Studio was not running at ComfyUI startup.
- temperature: 0 is near-deterministic, 0.7 balanced. Captioning likes 0.2–0.5.
- max_tokens: Longest allowed reply;
-1leaves it to the server. Reasoning models spend tokens thinking before answering — give them room. - seed: Sent to the server, and either way a changed seed re-runs the node instead of replaying the cached reply. This is the re-roll knob.
- timeout_seconds: How long to wait. Cold-loading a big model or a long think can need minutes.
- image_max_edge: Downscale a connected image so its longest edge fits
this before sending (
0= full size). Vision models resize internally anyway, and a smaller upload prefills much faster. - image (optional): For vision models. Only the first frame of a batch is sent — pick one with Select Frame 🆎 for video. A text-only model will refuse an image server-side.
Outputs
- text: The reply with any
<think>blocks removed — safe to wire straight into a text encoder. - thinking: What a reasoning model thought before answering; empty for ordinary models. Handy in a preview node while tuning prompts.
Behavior
- Runs off the executor thread, so the UI stays responsive during a long generation; the timeout is the backstop.
- Caches like any node: identical inputs replay the saved reply instantly. Change the seed to force a fresh generation.
- Errors are actionable: a refused connection says how to start the server, an HTTP error carries the server's own message (e.g. "Model not found"), and a non-JSON reply points at the endpoint setting.
Nothing is sent anywhere except the endpoint you configured.