Minimal Zine Poster

Turn the user's content into both:

1. a final image-generation prompt, and
2. a generated raster image made from that prompt using the ImageGen tool.

Mode Policy

Use Standard Mode for all generation. Use the Standard Mode Prompt Compiler (see references/visual-rules.md) to convert the user's content into a compact, imageable, high-fidelity prompt. If the user asks for higher quality, strengthen the prompt using the rules in the reference file.

Standard Mode Prompt Compiler

Default generation should compile only the parts that become pixels in the final image prompt. The full visual rules, color engine, and prompt field definitions live in references/visual-rules.md — load that file before writing any prompt.

Key Principles (always in context)

• Visual identity: poetic minimal paper poster, huge negative space, old paper, tiny anchor, sparse type, one clear high-chroma anchor, zine/editorial mood.
• Non-negotiable must-haves: vertical 3:5 paper canvas, small cluster (8%-25% of canvas), scanned-paper view, old print defects, serif/typewriter text, and a saturated color anchor visible at thumbnail size.
• Negative space: 70%-90% plain paper.
• Color: one unmistakably high-chroma anchor per image (cobalt, ultramarine, cyan, violet, magenta-pink, lemon yellow, pear green, orange, or tomato red). The high-chroma area occupies roughly 0.8%-2.5% of the canvas or 15%-35% of the visual cluster.
• Hard avoids: full-bleed scene, commercial headline, product ad, logo/CTA, glossy mockup, clean UI white, cinematic lighting, 3D, neon, cute cartoon, fashion editorial drama, dense scrapbook, too many colors, long clean text.

Standard Prompt Shape

Write the final Standard Mode prompt as four compact paragraphs:

1. canvas + paper + negative space + cluster size/location
2. subject metaphor + anchor type + anchor treatment
3. typography + accent strategy + print defects
4. flat scan mood + avoid-list

In paragraph 3, state the exact high-chroma hue, its material form, and its approximate visual share. This structure is more important than reciting every rule. Prefer a concrete, imageable prompt over a long style essay.

Variation Engine

Before writing the prompt, choose one option from each axis. Randomness must change visual grammar, not only position. If recent outputs used the same layout or anchor, choose a different one.

Layout Family

• center-fragment: tiny central image or object with surrounding air
• lower-left-float: small anchor in the lower-left quadrant, lots of empty top space
• upper-right-block: small color/photo block in the upper-right with loose text drift
• dual-panel: two small overlapping or adjacent panels with a narrow gap
• irregular-cutout: torn or organic paper shape carrying image or type
• type-led: typography is the main visual anchor, image secondary or absent
• dot-orbit: dots, letters, or hairline create an orbit around a small subject
• single-specimen: one isolated object or mark with almost no support graphics

Image Anchor

• tiny faded photo
• torn-paper clipping
• flat silhouette
• solid color block
• old printed illustration
• object specimen
• translucent geometric overlay
• abstract texture window

Typography Mode

• fragmented floating letters
• short phrase pressed against image edge
• archive microtext with date/weather
• diagonal scattered words
• low-contrast gray ghost text
• headline-as-object with rough letterpress
• text inside a color block or cutout
• almost textless, only a tiny caption

Texture Mode

• xerox softness
• risograph grain
• letterpress ink bleed
• halftone degradation
• film grain photo
• scan noise and paper fibers
• aged paper mottling
• soft motion blur on selected text

Mood Mode

• quiet
• summer
• solitude
• childhood
• seaside
• afternoon
• night
• memory
• slight surrealism

Workflow

1. Determine mode. Use Standard Mode.

2. Parse the user's content. Identify the core subject, mood, exact text if supplied, possible visual metaphor, and any reference image role. For an article or complex idea, extract one central imageable idea rather than summarizing the whole argument. If no image text is supplied, invent one short poetic English or Chinese phrase.

3. Load visual rules. Read references/visual-rules.md to get the full first-principles prompt fields, standard color engine, and standard prompt shape details.

4. Select a variation recipe. Pick layout, image anchor, typography, texture, and mood from the Variation Engine above. Choose color through the Standard Color Engine (in the reference file). Do not select near-monochrome unless the user explicitly asks for it. Do not default to "tiny photo + blue dots + microtext" unless it truly fits. If the recipe becomes too dense, simplify typography or color treatment first.

5. Write the final image prompt. Use the Standard Mode Prompt Compiler to compile the user's content into the four-paragraph prompt shape: canvas, anchor, typography/accent/print, flat-scan mood and avoid-list. Specify exact in-image text only when useful. Keep it short because image models distort long text. Make the prompt decisive: say where the anchor sits, how large it is, how text behaves, what accent appears, and how the print/scan texture looks.

6. Generate the image. Use the ImageGen tool to generate the image. Before calling ImageGen, inform the user that image generation consumes credits (roughly 5-10 credits per image). Do not stop after prompt-only unless the user explicitly asks for prompt-only. If the result obviously violates the selected mode or recipe, tighten the prompt and regenerate once. Inspect the result at thumbnail scale — if the high-chroma anchor is absent, washed out, or reduced to an imperceptible mark, regenerate once with stronger color wording and a larger colored area.

7. Return the image and prompt. Present the generated image and the final prompt in the output format specified below.

ImageGen Tool Usage

To generate the image, use ToolSearch to load the ImageGen tool schema, then call it via DeferExecuteTool. Pass the compiled prompt as the prompt parameter. If the user provided a reference photo and wants it incorporated, pass it via the image parameter for image-to-image transformation.

Negative Constraints

Always avoid:

• full-bleed subject or scene
• commercial poster headline hierarchy
• product ad layout, logo lockup, CTA, or brand campaign feeling
• clean digital UI background
• glossy paper mockup or heavy paper shadow
• 3D rendering, cinematic lighting, hard shadows, depth of field, neon, cyberpunk
• cute cartoon, kawaii illustration, anime poster, fashion editorial drama
• too many objects, stickers, colors, captions, or decorative textures
• high-resolution stock-photo realism
• long, clean, perfectly readable text blocks

Output Format

After generating the image, present the result in this format:

**生成图**

![Minimal Zine Poster](generated-image)

**最终 Prompt**

[final prompt used for image generation]

**说明**

- Mode: Standard
- Recipe: [layout / anchor / typography / accent / texture / mood]
- [one short note about the content interpretation]

Quality Gate

Before finalizing, check every item:

• Did the run use the Standard Mode Prompt Compiler?
• Did the run choose a variation recipe across layout, anchor, typography, accent, texture, and mood?
• Is the structure materially different from recent visible outputs?
• Does the image remain a sparse vertical paper poster?
• Does 70%-90% of the poster read as paper?
• Is the subject cluster roughly 8%-25% of the canvas?
• Is there one clear visual metaphor rather than a whole illustrated scene?
• Does the anchor have old-photo, clipping, print, scan, or paper-specimen treatment?
• Are typography and microtext part of the composition?
• Is there only one restrained accent strategy?
• Is the high-chroma anchor clearly visible at thumbnail size?
• Does saturated color occupy about 0.8%-2.5% of the canvas or 15%-35% of the visual cluster?
• Did the prompt avoid weakening the color anchor with pale, muted, faded, pastel, low saturation, or near-monochrome wording?
• Did the prompt avoid full-bleed, commercial, 3D, neon, cinematic, cartoon, cute, brand, and generic template aesthetics?
• Was the image actually generated via ImageGen?