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generate-image

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UpdatedMay 30, 2026 at 21:43

Generate an original image from a text description, locally (Bonsai-Image 4B, ternary-quantized, on a long-lived studio server). Use when the user wants a picture, illustration, avatar, or face created from a description that does not already exist on the web. For existing photos of real things, prefer image search instead; for simple diagrams or line drawings, prefer authoring inline SVG.

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bdambrosio

bdambrosio/Cognitive_workbench

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SKILL.md

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name	generate-image
description	Generate an original image from a text description, locally (Bonsai-Image 4B, ternary-quantized, on a long-lived studio server). Use when the user wants a picture, illustration, avatar, or face created from a description that does not already exist on the web. For existing photos of real things, prefer image search instead; for simple diagrams or line drawings, prefer authoring inline SVG.
args	{"prompt":"required string — what to depict, e.g. \"a friendly cartoon robot face, soft smile, flat vector style\". State qualities you want directly; the model follows prompts literally.","steps":"optional int (default 4) — denoising steps; Bonsai is distilled for 4, more buys little","size":"optional int (default 512) — square side length in pixels. 512 is the fast preset; 1024 is the quality preset (slower).","seed":"optional int — fix for reproducible output; omit for variety"}

generate-image

Produces an original image from a prompt using Bonsai-Image 4B (ternary 1.58-bit) running locally on the GPU via the prism-image-studio backend. The backend is a long-lived server; the tool is a thin HTTP client that POSTs the prompt and saves the returned PNG.

The tool talks to the FastAPI backend directly: POST {base}/generate, with a {base}/healthz readiness probe. Base URL defaults to http://localhost:4001 (override with GENERATE_IMAGE_URL). If the backend isn't already running, the tool launches it via the Bonsai-Image-Demo serve.sh and waits for /healthz (a cold boot prewarms the model and can take a couple of minutes). To start it by hand:

BACKEND_PORT=4001 FRONTEND_PORT=3100 ./scripts/serve.sh

4001 is the backend port here. The tool bypasses the Next.js studio frontend (/api/generate), so its port is irrelevant and its prompt-moderation gate is skipped.

Best for invented/illustrative imagery — characters, faces, scenes, styled graphics. It is a generator, not a search: it cannot reproduce a specific real photograph or a named existing image. There is no separate negative prompt; describe exactly what you want (including what to leave out) in the prompt.

Examples

{"thought": "the user wants a friendly assistant face drawn", "tool": "generate-image", "prompt": "a friendly cartoon robot assistant face, large round eyes, gentle smile, flat vector illustration, pastel background, centered"}

{"thought": "generate a calm scene with no people or text", "tool": "generate-image", "prompt": "a quiet misty lake at dawn, soft pastel sky, minimalist, no people, no text", "seed": 7}

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name	generate-image
description	Generate an original image from a text description, locally (Bonsai-Image 4B, ternary-quantized, on a long-lived studio server). Use when the user wants a picture, illustration, avatar, or face created from a description that does not already exist on the web. For existing photos of real things, prefer image search instead; for simple diagrams or line drawings, prefer authoring inline SVG.
args	{"prompt":"required string — what to depict, e.g. \"a friendly cartoon robot face, soft smile, flat vector style\". State qualities you want directly; the model follows prompts literally.","steps":"optional int (default 4) — denoising steps; Bonsai is distilled for 4, more buys little","size":"optional int (default 512) — square side length in pixels. 512 is the fast preset; 1024 is the quality preset (slower).","seed":"optional int — fix for reproducible output; omit for variety"}

generate-image

BACKEND_PORT=4001 FRONTEND_PORT=3100 ./scripts/serve.sh

4001 is the backend port here. The tool bypasses the Next.js studio frontend (/api/generate), so its port is irrelevant and its prompt-moderation gate is skipped.

Examples

{"thought": "the user wants a friendly assistant face drawn", "tool": "generate-image", "prompt": "a friendly cartoon robot assistant face, large round eyes, gentle smile, flat vector illustration, pastel background, centered"}

{"thought": "generate a calm scene with no people or text", "tool": "generate-image", "prompt": "a quiet misty lake at dawn, soft pastel sky, minimalist, no people, no text", "seed": 7}