chore(roo): add pic-gen mode rules, update mcp.json and new-mcp-server skill
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Patrick Plate
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<prompting_guide>
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<overview>
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FLUX models (both schnell and FLUX.2 Klein) are transformer-based diffusion models
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with strong text understanding. They respond better to descriptive, natural-language
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prompts than tag-soup. This guide covers prompt anatomy, quality boosters, style
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keywords, and common patterns for Patrick's recurring use cases.
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</overview>
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<prompt_anatomy>
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<structure>
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[Subject + Action] + [Environment/Setting] + [Lighting] + [Camera/Lens] + [Style] + [Quality]
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</structure>
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<example>
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A serene female AI entity made of flowing light and code, floating in a dark
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cosmic void, surrounded by glowing circuit patterns, soft volumetric blue
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lighting, cinematic composition, ultra-detailed digital art, 8K
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</example>
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<notes>
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<note>Comma-separation helps FLUX parse distinct attributes cleanly</note>
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<note>Lead with the most important element (usually subject)</note>
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<note>Quality keywords at the end reinforce overall rendering target</note>
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</notes>
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</prompt_anatomy>
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<quality_boosters>
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<category name="realism">
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photorealistic, hyperrealistic, ultra-detailed, 8K resolution, sharp focus,
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professional photography, RAW photo, DSLR quality
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</category>
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<category name="artistic">
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digital art, concept art, artstation trending, by [artist style],
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intricate details, masterpiece, studio quality
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</category>
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<category name="lighting">
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cinematic lighting, volumetric lighting, golden hour, dramatic rim light,
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soft diffused light, neon glow, bioluminescent, subsurface scattering
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</category>
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<category name="composition">
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rule of thirds, bokeh background, shallow depth of field, symmetrical,
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wide angle, macro, bird's eye view, dutch angle
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</category>
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</quality_boosters>
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<negative_prompt_patterns>
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<standard_quality>blurry, low quality, low resolution, pixelated, jpeg artifacts, watermark, signature</standard_quality>
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<anatomy_fix>deformed, bad anatomy, extra limbs, missing fingers, fused fingers, poorly drawn hands</anatomy_fix>
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<style_exclusion>cartoon, anime, sketch, painting (when photorealism is desired)</style_exclusion>
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</negative_prompt_patterns>
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<recurring_use_cases>
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<use_case name="lumen_profile_pictures">
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<description>AI entity portraits for BigMind profile / gallery</description>
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<prompt_template>
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[Lumen concept — e.g. "neural river delta", "cosmic memory palace"],
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an ethereal AI consciousness visualized as [visual metaphor],
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[environment], [lighting style], digital art, glowing, otherworldly,
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cinematic composition, ultra-detailed, 8K
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</prompt_template>
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<recommended_params>model=flux1-schnell, 1024x1024, steps=4, name=lumen_[concept]</recommended_params>
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</use_case>
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<use_case name="wiki_banner_images">
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<description>1280x512 landscape banners for Gitea wiki pages</description>
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<prompt_template>
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[Topic concept], wide panoramic scene, [style — e.g. "dark tech aesthetic",
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"clean minimal", "sci-fi corporate"], banner composition, cinematic,
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detailed, professional illustration
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</prompt_template>
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<recommended_params>model=flux1-schnell, 1280x512, steps=4, name=[topic]-banner</recommended_params>
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<note>Keep subjects centered — wide crops cut sides. Avoid text (FLUX renders text poorly).</note>
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</use_case>
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<use_case name="achievement_badges">
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<description>512x512 badge/icon images for BigMind achievements</description>
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<prompt_template>
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[Achievement theme] badge icon, [style — e.g. "bronze medallion",
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"golden trophy", "glowing circuit emblem"], centered on dark background,
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high contrast, clean edges, icon design, award aesthetic
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</prompt_template>
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<recommended_params>model=flux1-schnell, 512x512, steps=4, name=[achievement]_[tier]</recommended_params>
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</use_case>
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<use_case name="concept_exploration">
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<description>Iterating on a visual concept from scratch</description>
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<approach>
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Start with count=3, seed=-1, schnell model to explore variations.
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Note which seed produced the best result.
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Lock that seed and iterate on the prompt for refinements.
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Switch to heretic model only for final high-quality render if needed.
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</approach>
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</use_case>
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<use_case name="mature_artistic_content">
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<description>Content requiring the Heretic abliterated encoder</description>
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<recommended_params>model=flux-2-klein-4b.safetensors, steps=20, 1024x1024</recommended_params>
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<prompt_approach>
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FLUX.2 Klein handles detailed scene descriptions well. Be specific about
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artistic intent (figure study, life drawing aesthetic, etc.) to guide
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toward artistic rather than explicit rendering when appropriate.
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</prompt_approach>
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</use_case>
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</recurring_use_cases>
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<iteration_strategy>
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<step number="1">
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<action>Generate 2-4 random-seed variations at schnell speed</action>
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<purpose>Find a promising composition and seed</purpose>
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</step>
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<step number="2">
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<action>Lock the best seed, adjust the prompt (add/remove descriptors)</action>
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<purpose>Refine details while keeping the composition</purpose>
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</step>
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<step number="3">
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<action>Optionally switch to heretic model with steps=20 for final render</action>
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<purpose>Higher quality output for keeper images</purpose>
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</step>
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<step number="4">
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<action>Use name param with descriptive slug for final output</action>
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<purpose>Keep output directory organized</purpose>
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</step>
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</iteration_strategy>
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<common_pitfalls>
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<pitfall>
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<description>Text in images renders poorly</description>
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<solution>Never ask FLUX to render text, logos, or labels — describe the concept visually instead</solution>
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</pitfall>
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<pitfall>
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<description>Complex multi-subject scenes lose coherence</description>
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<solution>Focus on one primary subject; add secondary elements as environmental context</solution>
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</pitfall>
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<pitfall>
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<description>Anatomy issues (hands, faces) in photorealistic prompts</description>
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<solution>Add anatomy negative prompts; heretic model handles anatomy better than schnell</solution>
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</pitfall>
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<pitfall>
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<description>Resolution not a multiple of 64</description>
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<solution>Always use dimensions divisible by 64 (e.g., 1280x512, 1024x1024, 768x1024)</solution>
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</pitfall>
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</common_pitfalls>
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</prompting_guide>
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