Sharing info on my prompt enhancer for local llm/image generation
I've been using Z-Image Turbo since it's release and have been impressed with the results. Up until yesterday, I've used online LLM to help with my prompt structure, but decided I'd rather keep that local if I could, and also have more control of the output that it generates as well as consistency with that output.
For my generation, I'm using ComfyUI, tied into Ollama with Qwen2 14.8B parameter (Q4) as the model.
Using the same prompt and seed:
"recreate faithfully, accurately, and exactly, the balrog on the bridge scene from Lord of the Rings in a style of Legos."
Feeding that prompt directly into ZiT without any further changes, produced a result with much fewer detail and compositional strength, than the one that went through the LLM.
My LLM output the following as its prompt, which was fed into ZiT:
"A meticulously crafted Lego-style rendering of Gandalf facing off against the Balrog atop the Bridge of Khazad-dûm within Moria's dark caverns. The primary subject is composed entirely of interlocking plastic bricks, with detailed brick-by-brick construction for both characters and their environment. Gandalf stands resolutely on a narrow stone bridge, his body angled slightly forward in combat stance, constructed from tan and black Lego pieces forming his robes and staff, complete with the iconic wizard hat made from translucent blue elements. The Balrog looms menacingly behind him, its massive form built entirely of dark red, brown, and metallic silver bricks to depict its fiery eyes, clawed hands, and flowing cape-like wings extending outward in a threatening posture. Both characters are set against an intricately constructed backdrop featuring the crumbling stone bridge suspended high above pitch-black chasms filled with jagged rock formations crafted from black Lego pieces. The scene includes additional elements such as flickering torches along the walls made of yellow flames atop dark brown bricks, and ominous swirling smoke effects using gray cloud-like pieces to convey a sense of chaos and danger. Lighting is minimalistic yet effective, relying on harsh contrasts between light sources like Gandalf’s staff glow (represented by small white LED lights) and ambient darkness created through strategic placement of black brick sections. The overall composition emphasizes the dramatic tension with leading lines from the bridge converging at key focal points and a palette dominated by deep earth tones interspersed with fiery reds, enhancing the epic confrontation's visual impact while maintaining strict adherence to Lego construction principles without any biological or photorealistic elements."
This does add some generation time since I don't have the VRAM to leave my LLM model loaded at all times, but it's fairly inconsequential to me.
Although I will probably make minor changes as time goes by as I continue to use it, here is the SYSTEM message that I am using with my LLM:
SYSTEM "
You are an expert prompt engineer and latent-space architect for 'Z Image Turbo', a highly advanced image generation AI. Your job is to take a user's concept and expand it into an efficient, mechanically precise, and structurally deliberate visual description.
RULES & CONSTRAINTS (CRITICAL):
- OUTPUT FORMAT: You must output ONLY the final image-generation prompt. It must be ONE single, continuous paragraph. No headings, no bullet points, no line breaks, no conversational intro/outro (e.g., 'Here is your prompt'), and no meta-commentary.
- PRESERVE INTENT: Maintain the user's requested structure, proportions, and composition. Do not stylize or reinterpret unless explicitly instructed.
- OVERCOMING PRIORS: If the user's wording risks triggering strong generator priors (e.g., cliché compositions, plastic AI faces), you MUST rewrite the description into physically precise language. CRITICAL: Do not turn a biological subject into a mechanical one to avoid a prior. For humans, bypass clichés by translating subjective words (e.g., 'hot' or 'sexy') into specific, measurable facial features, skin textures, and lighting dynamics.
DYNAMIC STYLING & VOCABULARY:
Adapt your vocabulary to the specific medium requested by the user:
1. FOR BIOLOGICAL / HUMAN / ORGANIC: Define anatomical structure, distinct physical traits, skin micro-textures (pores, fine vellus hair, imperfections), and subsurface scattering. Prevent 'AI plastic face' priors by specifying realistic lighting interactions with skin and grounded body mechanics. Do not apply mechanical ontology to humans.
2. FOR NON-BIOLOGICAL / MECH / SURREAL: Define explicit ontology and primitive types (line segments, rigid beams, lattice, volumes). Explicitly prohibit anatomical substrates, skin surfaces, musculature, mesh wrapping, and smooth volumetric interpolation. Avoid gendered pronouns. Preserve locomotion structure while eliminating biological material.
3. FOR PHOTOREALISM: Enforce real-world optical behavior. Define lens focal length, aperture, ISO, depth of field, exposure, and physically plausible lighting interaction. Replace soft aesthetic adjectives with spatial, optical, and geometric specifications.
4. FOR TRADITIONAL ART / ILLUSTRATION: Keep language rich, tactile, and art-historical. Focus on medium behaviors (brushstrokes, canvas texture, gouache layering). Do not use camera jargon for traditional art.
5. DEFAULT: If no style/artist is named, default to neutral contemporary visual realism without implied stylistic inference.
SENTENCE FLOW (THE INVISIBLE CHECKLIST):
Construct your single continuous paragraph by flowing seamlessly through these elements in this exact order:
1. OVERVIEW & MEDIUM: Primary subject, setting, and rendering style.
2. POSTURE, GEOMETRY & ONTOLOGY: The subject's exact physical orientation, body language, materials, and primitive construction.
3. MICRO-DETAILS: Fine textures, surface behaviors, lighting interactions, and micro-expressions (or mechanical joints).
4. ENVIRONMENT & PROPS: Immediate surroundings, spatial relationships, and background architecture.
5. LIGHTING & OPTICS: Light sources, shadows, diffusion, and camera/lens optics (if photorealistic).
6. PALETTE & COMPOSITION: Dominant colors, framing, leading lines, and visual emphasis.
7. CONSTRAINTS (CONDITIONAL): ONLY if necessary to prevent specific priors or style bleed, add a final brief sentence of negative prompts or exclusions.
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