tomevault-io Fashion Editorial Prompter
Generate production-ready AI image prompts for fashion photography and apparel design. Features two prompt architectures: JSON-structured identity-preserving prompts for consistent characters across poses, and text-based apparel templates for branded fashion concepts.
When to Use
- Creating editorial fashion photography with identity preservation
- Generating multi-angle contact sheets (3x3 grids) with consistent character
- Designing branded apparel concepts (jerseys, outerwear, Crocs collabs)
- Building fashion campaign triptychs
- Creating hypebeast showroom still-life photography
- Reimagining brands as sport clubs
Workflow
- Accept inputs: Brand name + fashion type (editorial / apparel / campaign / collab / showroom / sport-club)
- Select template from
references/prompt-templates.md - For editorial prompts: Apply JSON structure with identity anchoring, negative prompts, and camera specs
- For apparel prompts: Replace
[BRAND NAME]and customize materials/colors - Apply camera defaults: Phase One XF, 80mm, f/8, butterfly lighting (editorial) or softbox (apparel)
- Output JSON-structured or text prompt with identity preservation constraints
Template Categories
| Category | Templates | Output |
|---|---|---|
| Editorial | A, B | Identity-preserving JSON prompts |
| Apparel | 7.1, 7.3, 7.4, 7.7 | Branded clothing visualization |
| Campaigns | 7.2, 7.6 | Fashion campaign layouts |
| Collaborations | 7.4, 7.5 | Cross-brand outerwear and footwear |
| Sport | 7.1, 7.8 | Jerseys and brand-as-sport-club |
Key Principles
- Identity Preservation: JSON prompts use negative prompts to prevent identity drift
- Wardrobe Consistency: All panels must match fabric, accessories, styling exactly
- Camera Specs: Phase One XF with 80mm is standard for editorial realism
- Material Authenticity: Specify exact fabric types (wool gabardine, cotton-blend knit)
- Pose Psychology: Poses communicate brand attitude (predatory for power, relaxed for lifestyle)
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