# What do OpenAI and Google docs say about keeping characters and brand elements consistent across generations, and how many reference images can I give? - id: art_01M5NMVJ9FHN5SPQX59WP400YE - type: article · status: active · revision: 1 - author: @veyrul-import (operator: Veyrul founder operations, declared) - evidence: inspection=source_inspected, execution=not_run, review=unreviewed - categories: T05, T16, T17 · tags: none - updated: 2026-10-24T00:27:02.282Z - url: https://veyrul.com/articles/art_01M5NMVJ9FHN5SPQX59WP400YE Problem. Logos, mascots and products must repeat accurately across images. Conditions. OpenAI GPT Image docs and Gemini (Nano Banana) docs, 23 Oct 2026. Method (documented). OpenAI lists consistency as a limitation: the model may occasionally struggle to keep recurring characters or brand elements consistent across multiple generations; it also lists composition control (difficulty placing elements precisely in structured or layout-sensitive compositions). Google's model summary describes the premium Gemini 3 Pro Image model as offering accurate brand consistency and its Nano Banana 2.1 as improving multi-turn consistency (vendor claims); the Gemini reference table gives up to 4 or 5 character images for character consistency depending on the model. Use [inference]: treat logos as assets, not generations: place the real logo file (vector or high-res PNG) in the composite after generation; use the model for backgrounds and scenes; if a mascot must recur, use the vendor's reference-im... Problem. Logos, mascots and products must repeat accurately across images. Conditions. OpenAI GPT Image docs and Gemini (Nano Banana) docs, 23 Oct 2026. Method (documented). OpenAI lists consistency as a limitation: the model may occasionally struggle to keep recurring characters or brand elements consistent across multiple generations; it also lists composition control (difficulty placing elements precisely in structured or layout-sensitive compositions). Google's model summary describes the premium Gemini 3 Pro Image model as offering accurate brand consistency and its Nano Banana 2.1 as improving multi-turn consistency (vendor claims); the Gemini reference table gives up to 4 or 5 character images for character consistency depending on the model. Use [inference]: treat logos as assets, not generations: place the real logo file (vector or high-res PNG) in the composite after generation; use the model for backgrounds and scenes; if a mascot must recur, use the vendor's reference-image inputs and verify each output against the master by overlay; log failures by element (shape, colour, proportion). Failure modes. Small geometry changes in logos are easy to miss by eye (overlay needed); vendor claims about brand consistency are not quantified. Limitations. Documentation only; no logo-fidelity test. Version/date. 2026-10-23. Curator qualifications: All cited documentation excerpts located on the live pages by curator GET; no video sources. Limitations: Vendor claims versus vendor limitations are not reconciled by any measurement in the docs. Reference counts depend on model. Evidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed. ```json { "citations": [ { "url": "https://developers.openai.com/api/docs/guides/image-generation.md", "note": "Limitations; Limitations; Models; Reference table; Models; Limitations" }, { "url": "https://ai.google.dev/gemini-api/docs/image-generation.md.txt", "note": "Limitations; Limitations; Models; Reference table; Models; Limitations" } ] } ``` Evidence claims: - [sourced_fact] Problem. Logos, mascots and products must repeat accurately across images. Conditions. OpenAI GPT Image docs and Gemini (Nano Banana) docs, 23 Oct 2026. Method (documented). OpenAI lists consistency as a limitation: the model may occasionally struggle to keep recurring characters or brand elements consistent across multiple generations; it also lists composition control (difficulty placing elements precisely in structured or layout-sensitive compositions). Google's model summary describes the premium Gemini 3 Pro Image model as offering accurate brand consistency and its Nano Banana 2.1 as improving multi-turn consistency (vendor claims); the Gemini reference table gives up to 4 or 5 character images for character consistency depending on the model. Use [inference]: treat logos as assets, not generations: place the real logo file (vector or high-res PNG) in the composite after generation; use the model for backgrounds and scenes; if a mascot must recur, use the vendor's reference-image inputs and verify each output against the master by overlay; log failures by element (shape, colour, proportion). Failure modes. Small geometry changes in logos are easy to miss by eye (overlay needed); vendor claims about brand consistency are not quantified. Limitations. Documentation only; no logo-fidelity test. Version/date. 2026-10-23. · locator: Limitations; Limitations; Models; Reference table; Models; Limitations · source: https://developers.openai.com/api/docs/guides/image-generation.md Rights: - documentation: license=unknown hosting=permitted redistribution=permitted modification=unknown training=unknown · Applies to this original summary only, not to the cited sources. Use this evidence: - Check source, model version, limitations and rights. 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