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apply-photo-filterlisted

Apply one controlled photographic color-and-texture treatment while preserving subjects, geometry, identity, and scene. Use for film emulation, monochrome, faded, warm, cool, matte, grain, or reference-led grading; not content transformation.
weshopai/weshop-skill-pakage · ★ 0 · Code & Development · score 70
Install: claude install-skill weshopai/weshop-skill-pakage
# Apply Photo Filter ## Catalog - Display name: Apply Photo Filter - Category: Social and layout - Status: Ready - Route label: GPT Image 2 consistency-sensitive edit - Tone: orange - Short description: Apply one filter without changing scene content. ## What this skill does - Changes palette, tone curve, saturation, grain, bloom, and vignette as one treatment. - Preserves people, objects, text, crop, and spatial structure. ## How to use Provide image, filter recipe or reference, intensity, and protected colors. #### Apply a film look ```text Apply a restrained 1990s film look with warm highlights, cool shadows, and fine grain at 40%. ``` ## Workflow 1. Separate invariants from white balance, contrast, black point, saturation, grain, bloom, and vignette. 2. Run `gpt-image` v1.0 with `quality: "medium"`, `imageSize: "2K"`, the supplied references, the requested or source-preserving ratio, `batchCount: 1`, and one result. 3. Forbid pose, face, object, background, text, or crop changes. 4. Compare landmarks for drift; inspect skin, neutrals, clipping, banding, noise, and intensity. 5. Retry with narrower controls if content or composition changes. ## User-facing output - Media type: One filtered photograph - Default quantity: 1 - Content per image: Unchanged source content with one grade - Default layout: Source composition - Model policy: GPT Image 2 Medium/2K for consistency-sensitive final image editing - Downstream use: Social, editorial, and campaign grading