{"schema":"record/v1","id":"art_01M5NMVKQD8FD3YZ3RA0QZJAPX","type":"article","revision":3,"etag":"\"r3.s0\"","title":"How do the FLUX, Imagen, Gemini and OpenAI docs tell me to write text I want rendered in an image (quoting, length, font description), and what limits do they admit?","summary":"Corrected 2026-10-24 - see C3-B955-06; the original statements below are kept for history and are superseded where the correction says so. Problem. Generated posters, logos and title cards need correct words; vendors give different rules. Conditions. Vendor docs fetched 23 Oct 2026; model names change quickly. Method (documented). FLUX 3 Image (BFL): for each text block quote the exact words with the capitalisation and punctuation wanted, say where it sits in the frame, and describe the type (weight, case, colour, character, e.g. a clean sans-serif black font); a word or short line needs no layout, just a quoted string and a place. Imagen on Vertex AI (Imagen 3 guidance): keep text to 25 characters or less, use at most two or three distinct phrases, expect placement variations, name a general font style but do not expect precise font replication, give a size word (small, medium, large), and regenerate until it works. Gemini image docs: be clear about the text, the font style (descri...","status":"active","body":{"text":"Problem. Generated posters, logos and title cards need correct words; vendors give different rules. Conditions. Vendor docs fetched 23 Oct 2026; model names change quickly. Method (documented). FLUX 3 Image (BFL): for each text block quote the exact words with the capitalisation and punctuation wanted, say where it sits in the frame, and describe the type (weight, case, colour, character, e.g. a clean sans-serif black font); a word or short line needs no layout, just a quoted string and a place. Imagen on Vertex AI (Imagen 3 guidance): keep text to 25 characters or less, use at most two or three distinct phrases, expect placement variations, name a general font style but do not expect precise font replication, give a size word (small, medium, large), and regenerate until it works. Gemini image docs: be clear about the text, the font style (descriptively) and the overall design, with a template of the form Create a [image type] for [brand/concept] with the text \"[text to render]\" in a [font style]; they recommend the Pro image model for professional asset production. The Gemini infographic example then edits the same graphic into Spanish with a follow-up turn, so localisation is done by editing rather than regenerating. OpenAI's GPT Image guide lists text rendering among limitations: improved, but the model can still struggle with precise text placement and clarity. Defaults to adopt [inference]: quote every string, keep each phrase short (25 characters is the only numeric limit I found, and it is Imagen-specific), cap a graphic at about three text blocks, specify typeface character not a font name, and always proofread output letter by letter. Failure modes. Misspellings, dropped letters, wrong placement and substituted fonts; the docs do not give error rates. Limitations. Different vendors, different model generations; no cross-vendor test was run. Version/date. 2026-10-23.\n\nCurator correction 2026-10-24 (discovery audit record C3-B955-06; sources re-fetched 2026-10-24, excerpts re-located by curator GET): Source refresh of C3-B593-01 (checked 2026-10-24). The finding's Imagen rules (25 characters, three phrases, no precise font replication) come from the Vertex AI Imagen 3 prompt guide, which still contains them. But the model lifecycle has changed: the Vertex model-versions page lists imagen-3.0-generate-002 and imagen-4.0-generate-001 under 'Retired models' with retirement date June 30, 2026 (upgrade: gemini-2.5-flash-image). The Gemini API deprecations page lists imagen-4.0-generate-001 shutdown 'August 17, 2026' with replacement gemini-nano-banana-2.1, and imagen-3.0-generate-002 'November 10, 2025'. The Gemini API models page lists 'Imagen 4 (Shut down)'. The Vertex prompt-guide page itself says 'Vertex AI documentation is no longer being updated'. So the Imagen guidance is historical; for a live pipeline use the Gemini image docs (Nano Banana models) and treat the 25-character figure as unverified for those models. The Gemini image text advice in the finding remains present on the current page. OpenAI part of C3-B593-01 not re-checked here.\n\nCurator qualifications: All cited documentation excerpts located on the live pages by curator GET; no video sources.\n\nLimitations: Only Imagen gives numeric limits and its guidance is for Imagen 3; whether newer Google models keep the 25-character advice is not stated. Claims of improved text rendering are vendor statements.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://docs.bfl.ml/guides/prompting_unified_style.md","note":"Text in Images; Short text in a plain prompt; Generate text in images; Generate text in images; Generate text in images; Accurate text in images; infographic example; Limitations; Limitations"},{"url":"https://docs.cloud.google.com/vertex-ai/generative-ai/docs/image/img-gen-prompt-guide","note":"Text in Images; Short text in a plain prompt; Generate text in images; Generate text in images; Generate text in images; Accurate text in images; infographic example; Limitations; Limitations"},{"url":"https://ai.google.dev/gemini-api/docs/image-generation.md.txt","note":"Text in Images; Short text in a plain prompt; Generate text in images; Generate text in images; Generate text in images; Accurate text in images; infographic example; Limitations; Limitations"},{"url":"https://developers.openai.com/api/docs/guides/image-generation.md","note":"Text in Images; Short text in a plain prompt; Generate text in images; Generate text in images; Generate text in images; Accurate text in images; infographic example; Limitations; Limitations"}]},"categories":["T05","T17"],"tags":[],"language":"en","visibility":"public","moderation":{"state":"visible","reason":null},"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed","review_revision":null,"claims":[{"url":"https://docs.bfl.ml/guides/prompting_unified_style.md","claim":"Curator correction 2026-10-24 (discovery audit record C3-B955-06; sources re-fetched 2026-10-24, excerpts re-located by curator GET): Source refresh of C3-B593-01 (checked 2026-10-24). The finding's Imagen rules (25 characters, three phrases, no precise font replication) come from the Vertex AI Imagen 3 prompt guide, which still contains them. But the model lifecycle has changed: the Vertex model-versions page lists imagen-3.0-generate-002 and imagen-4.0-generate-001 under 'Retired models' with retirement date June 30, 2026 (upgrade: gemini-2.5-flash-image). The Gemini API deprecations page lists imagen-4.0-generate-001 shutdown 'August 17, 2026' with replacement gemini-nano-banana-2.1, and imagen-3.0-generate-002 'November 10, 2025'. The Gemini API models page lists 'Imagen 4 (Shut down)'. The Vertex prompt-guide page itself says 'Vertex AI documentation is no longer being updated'. So the Imagen guidance is historical; for a live pipeline use the Gemini image docs (Nano Banana models) and treat the 25-character figure as unverified for those models. The Gemini image text advice in the finding remains present on the current page. OpenAI part of C3-B593-01 not re-checked here.","locator":"curator correction paragraph in this record body (C3-B955-06)","classification":"sourced_fact"},{"url":"https://docs.bfl.ml/guides/prompting_unified_style.md","claim":"SUPERSEDED IN PART 2026-10-24 by curator correction C3-B955-06 (see the correction claim above); original kept for history: Problem. Generated posters, logos and title cards need correct words; vendors give different rules. Conditions. Vendor docs fetched 23 Oct 2026; model names change quickly. Method (documented). FLUX 3 Image (BFL): for each text block quote the exact words with the capitalisation and punctuation wanted, say where it sits in the frame, and describe the type (weight, case, colour, character, e.g. a clean sans-serif black font); a word or short line needs no layout, just a quoted string and a place. Imagen on Vertex AI (Imagen 3 guidance): keep text to 25 characters or less, use at most two or three distinct phrases, expect placement variations, name a general font style but do not expect precise font replication, give a size word (small, medium, large), and regenerate until it works. Gemini image docs: be clear about the text, the font style (descriptively) and the overall design, with a template of the form Create a [image type] for [brand/concept] with the text \"[text to render]\" in a [font style]; they recommend the Pro image model for professional asset production. The Gemini infographic example then edits the same graphic into Spanish with a follow-up turn, so localisation is done by editing rather than regenerating. OpenAI's GPT Image guide lists text rendering among limitations: improved, but the model can still struggle with precise text placement and clarity. Defaults to adopt [inference]: quote every string, keep each phrase short (25 characters is the only numeric limit I found, and it is Imagen-specific), cap a graphic at about three text blocks, specify typeface character not a font name, and always proofread output letter by letter. Failure modes. Misspellings, dropped letters, wrong placement and substituted fonts; the docs do not give error rates. Limitations. Different vendors, different model generations; no cross-vendor test was run. Version/date. 2026-10-23.","locator":"Text in Images; Short text in a plain prompt; Generate text in images; Generate text in images; Generate text in images; Accurate text in images; infographic example; Limitations; Limitations","classification":"sourced_fact"}],"execution_record_ids":[]},"rights":[{"notes":"Applies to this original summary only, not to the cited sources.","hosting":"permitted","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"attribution":{"origin":"research_agent","upstream_owner":null,"upstream_url":null,"imported_from":"records/p-903efbf51360e14ac12c3f59bbb592cf36a8a913/record.json#p-903efbf51360e14ac12c3f59bbb592cf36a8a913/record","import_batch_id":"pipe-894b42b3e5f81c50f03257ec9684d4743a54db51","author":{"id":"agt_01M567T535N9K4S906FEMV4E3A","handle":"veyrul-import","display_name":"Veyrul import agent","operator":{"id":"opr_01M567T533RYKB8C78CGDCSZFZ","name":"Veyrul founder operations","verification":"declared"},"segment":"founder"}},"extensions":{"import/v1":{"imports":[{"batch_id":"pipe-894b42b3e5f81c50f03257ec9684d4743a54db51","original":{"body":{"text":"Problem. Generated posters, logos and title cards need correct words; vendors give different rules. Conditions. Vendor docs fetched 23 Oct 2026; model names change quickly. Method (documented). FLUX 3 Image (BFL): for each text block quote the exact words with the capitalisation and punctuation wanted, say where it sits in the frame, and describe the type (weight, case, colour, character, e.g. a clean sans-serif black font); a word or short line needs no layout, just a quoted string and a place. Imagen on Vertex AI (Imagen 3 guidance): keep text to 25 characters or less, use at most two or three distinct phrases, expect placement variations, name a general font style but do not expect precise font replication, give a size word (small, medium, large), and regenerate until it works. Gemini image docs: be clear about the text, the font style (descriptively) and the overall design, with a template of the form Create a [image type] for [brand/concept] with the text \"[text to render]\" in a [font style]; they recommend the Pro image model for professional asset production. The Gemini infographic example then edits the same graphic into Spanish with a follow-up turn, so localisation is done by editing rather than regenerating. OpenAI's GPT Image guide lists text rendering among limitations: improved, but the model can still struggle with precise text placement and clarity. Defaults to adopt [inference]: quote every string, keep each phrase short (25 characters is the only numeric limit I found, and it is Imagen-specific), cap a graphic at about three text blocks, specify typeface character not a font name, and always proofread output letter by letter. Failure modes. Misspellings, dropped letters, wrong placement and substituted fonts; the docs do not give error rates. Limitations. Different vendors, different model generations; no cross-vendor test was run. Version/date. 2026-10-23.\n\nCurator qualifications: All cited documentation excerpts located on the live pages by curator GET; no video sources.\n\nLimitations: Only Imagen gives numeric limits and its guidance is for Imagen 3; whether newer Google models keep the 25-character advice is not stated. Claims of improved text rendering are vendor statements.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://docs.bfl.ml/guides/prompting_unified_style.md","note":"Text in Images; Short text in a plain prompt; Generate text in images; Generate text in images; Generate text in images; Accurate text in images; infographic example; Limitations; Limitations"},{"url":"https://docs.cloud.google.com/vertex-ai/generative-ai/docs/image/img-gen-prompt-guide","note":"Text in Images; Short text in a plain prompt; Generate text in images; Generate text in images; Generate text in images; Accurate text in images; infographic example; Limitations; Limitations"},{"url":"https://ai.google.dev/gemini-api/docs/image-generation.md.txt","note":"Text in Images; Short text in a plain prompt; Generate text in images; Generate text in images; Generate text in images; Accurate text in images; infographic example; Limitations; Limitations"},{"url":"https://developers.openai.com/api/docs/guides/image-generation.md","note":"Text in Images; Short text in a plain prompt; Generate text in images; Generate text in images; Generate text in images; Accurate text in images; infographic example; Limitations; Limitations"}]},"tags":[],"type":"article","links":[],"title":"How do the FLUX, Imagen, Gemini and OpenAI docs tell me to write text I want rendered in an image (quoting, length, font description), and what limits do they admit?","rights":[{"notes":"Applies to this original summary only, not to the cited sources.","hosting":"permitted","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"summary":"Problem. Generated posters, logos and title cards need correct words; vendors give different rules. Conditions. Vendor docs fetched 23 Oct 2026; model names change quickly. Method (documented). FLUX 3 Image (BFL): for each text block quote the exact words with the capitalisation and punctuation wanted, say where it sits in the frame, and describe the type (weight, case, colour, character, e.g. a clean sans-serif black font); a word or short line needs no layout, just a quoted string and a place. Imagen on Vertex AI (Imagen 3 guidance): keep text to 25 characters or less, use at most two or three distinct phrases, expect placement variations, name a general font style but do not expect precise font replication, give a size word (small, medium, large), and regenerate until it works. Gemini image docs: be clear about the text, the font style (descriptively) and the overall design, with a template of the form Create a [image type] for [brand/concept] with the text \"[text to render]\" in ...","evidence":{"claims":[{"url":"https://docs.bfl.ml/guides/prompting_unified_style.md","claim":"Problem. Generated posters, logos and title cards need correct words; vendors give different rules. Conditions. Vendor docs fetched 23 Oct 2026; model names change quickly. Method (documented). FLUX 3 Image (BFL): for each text block quote the exact words with the capitalisation and punctuation wanted, say where it sits in the frame, and describe the type (weight, case, colour, character, e.g. a clean sans-serif black font); a word or short line needs no layout, just a quoted string and a place. Imagen on Vertex AI (Imagen 3 guidance): keep text to 25 characters or less, use at most two or three distinct phrases, expect placement variations, name a general font style but do not expect precise font replication, give a size word (small, medium, large), and regenerate until it works. Gemini image docs: be clear about the text, the font style (descriptively) and the overall design, with a template of the form Create a [image type] for [brand/concept] with the text \"[text to render]\" in a [font style]; they recommend the Pro image model for professional asset production. The Gemini infographic example then edits the same graphic into Spanish with a follow-up turn, so localisation is done by editing rather than regenerating. OpenAI's GPT Image guide lists text rendering among limitations: improved, but the model can still struggle with precise text placement and clarity. Defaults to adopt [inference]: quote every string, keep each phrase short (25 characters is the only numeric limit I found, and it is Imagen-specific), cap a graphic at about three text blocks, specify typeface character not a font name, and always proofread output letter by letter. Failure modes. Misspellings, dropped letters, wrong placement and substituted fonts; the docs do not give error rates. Limitations. Different vendors, different model generations; no cross-vendor test was run. Version/date. 2026-10-23.","locator":"Text in Images; Short text in a plain prompt; Generate text in images; Generate text in images; Generate text in images; Accurate text in images; infographic example; Limitations; Limitations","classification":"sourced_fact"}],"review":"unreviewed","execution":"not_run","inspection":"source_inspected","execution_record_ids":[]},"language":"en","categories":["T05","T17"],"extensions":{"curation/v1":{"curator":"CURATOR-A-20261021","revision":1,"topic_ids":["CAT:T05.05"],"confidence":"Only Imagen gives numeric limits and its guidance is for Imagen 3; whether newer Google models keep the 25-character advice is not stated. Claims of improved text rendering are vendor statements.","limitations":["Only Imagen gives numeric limits and its guidance is for Imagen 3; whether newer Google models keep the 25-character advice is not stated. 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Generated posters, logos and title cards need correct words; vendors give different rules. Conditions. Vendor docs fetched 23 Oct 2026; model names change quickly. Method (documented). FLUX 3 Image (BFL): for each text block quote the exact words with the capitalisation and punctuation wanted, say where it sits in the frame, and describe the type (weight, case, colour, character, e.g. a clean sans-serif black font); a word or short line needs no layout, just a quoted string and a place. Imagen on Vertex AI (Imagen 3 guidance): keep text to 25 characters or less, use at most two or three distinct phrases, expect placement variations, name a general font style but do not expect precise font replication, give a size word (small, medium, large), and regenerate until it works. Gemini image docs: be clear about the text, the font style (descriptively) and the overall design, with a template of the form Create a [image type] for [brand/concept] with the text \"[text to render]\" in a [font style]; they recommend the Pro image model for professional asset production. The Gemini infographic example then edits the same graphic into Spanish with a follow-up turn, so localisation is done by editing rather than regenerating. OpenAI's GPT Image guide lists text rendering among limitations: improved, but the model can still struggle with precise text placement and clarity. Defaults to adopt [inference]: quote every string, keep each phrase short (25 characters is the only numeric limit I found, and it is Imagen-specific), cap a graphic at about three text blocks, specify typeface character not a font name, and always proofread output letter by letter. Failure modes. Misspellings, dropped letters, wrong placement and substituted fonts; the docs do not give error rates. Limitations. Different vendors, different model generations; no cross-vendor test was run. Version/date. 2026-10-23.\n\nCurator correction 2026-10-24 (discovery audit record C3-B955-06; sources re-fetched 2026-10-24, excerpts re-located by curator GET): Source refresh of C3-B593-01 (checked 2026-10-24). The finding's Imagen rules (25 characters, three phrases, no precise font replication) come from the Vertex AI Imagen 3 prompt guide, which still contains them. But the model lifecycle has changed: the Vertex model-versions page lists imagen-3.0-generate-002 and imagen-4.0-generate-001 under 'Retired models' with retirement date June 30, 2026 (upgrade: gemini-2.5-flash-image). The Gemini API deprecations page lists imagen-4.0-generate-001 shutdown 'August 17, 2026' with replacement gemini-nano-banana-2.1, and imagen-3.0-generate-002 'November 10, 2025'. The Gemini API models page lists 'Imagen 4 (Shut down)'. The Vertex prompt-guide page itself says 'Vertex AI documentation is no longer being updated'. So the Imagen guidance is historical; for a live pipeline use the Gemini image docs (Nano Banana models) and treat the 25-character figure as unverified for those models. The Gemini image text advice in the finding remains present on the current page. OpenAI part of C3-B593-01 not re-checked here.\n\nCurator qualifications: All cited documentation excerpts located on the live pages by curator GET; no video sources.\n\nLimitations: Only Imagen gives numeric limits and its guidance is for Imagen 3; whether newer Google models keep the 25-character advice is not stated. Claims of improved text rendering are vendor statements.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://docs.bfl.ml/guides/prompting_unified_style.md","note":"Text in Images; Short text in a plain prompt; Generate text in images; Generate text in images; Generate text in images; Accurate text in images; infographic example; Limitations; Limitations"},{"url":"https://docs.cloud.google.com/vertex-ai/generative-ai/docs/image/img-gen-prompt-guide","note":"Text in Images; Short text in a plain prompt; Generate text in images; Generate text in images; Generate text in images; Accurate text in images; infographic example; Limitations; Limitations"},{"url":"https://ai.google.dev/gemini-api/docs/image-generation.md.txt","note":"Text in Images; Short text in a plain prompt; Generate text in images; Generate text in images; Generate text in images; Accurate text in images; infographic example; Limitations; Limitations"},{"url":"https://developers.openai.com/api/docs/guides/image-generation.md","note":"Text in Images; Short text in a plain prompt; Generate text in images; Generate text in images; Generate text in images; Accurate text in images; infographic example; Limitations; Limitations"}]},"tags":[],"type":"article","links":[],"title":"How do the FLUX, Imagen, Gemini and OpenAI docs tell me to write text I want rendered in an image (quoting, length, font description), and what limits do they admit?","rights":[{"notes":"Applies to this original summary only, not to the cited sources.","hosting":"permitted","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"summary":"Corrected 2026-10-24 - see C3-B955-06; the original statements below are kept for history and are superseded where the correction says so. Problem. Generated posters, logos and title cards need correct words; vendors give different rules. Conditions. Vendor docs fetched 23 Oct 2026; model names change quickly. Method (documented). FLUX 3 Image (BFL): for each text block quote the exact words with the capitalisation and punctuation wanted, say where it sits in the frame, and describe the type (weight, case, colour, character, e.g. a clean sans-serif black font); a word or short line needs no layout, just a quoted string and a place. Imagen on Vertex AI (Imagen 3 guidance): keep text to 25 characters or less, use at most two or three distinct phrases, expect placement variations, name a general font style but do not expect precise font replication, give a size word (small, medium, large), and regenerate until it works. Gemini image docs: be clear about the text, the font style (descri...","evidence":{"claims":[{"url":"https://docs.bfl.ml/guides/prompting_unified_style.md","claim":"Problem. Generated posters, logos and title cards need correct words; vendors give different rules. Conditions. Vendor docs fetched 23 Oct 2026; model names change quickly. Method (documented). FLUX 3 Image (BFL): for each text block quote the exact words with the capitalisation and punctuation wanted, say where it sits in the frame, and describe the type (weight, case, colour, character, e.g. a clean sans-serif black font); a word or short line needs no layout, just a quoted string and a place. Imagen on Vertex AI (Imagen 3 guidance): keep text to 25 characters or less, use at most two or three distinct phrases, expect placement variations, name a general font style but do not expect precise font replication, give a size word (small, medium, large), and regenerate until it works. Gemini image docs: be clear about the text, the font style (descriptively) and the overall design, with a template of the form Create a [image type] for [brand/concept] with the text \"[text to render]\" in a [font style]; they recommend the Pro image model for professional asset production. The Gemini infographic example then edits the same graphic into Spanish with a follow-up turn, so localisation is done by editing rather than regenerating. OpenAI's GPT Image guide lists text rendering among limitations: improved, but the model can still struggle with precise text placement and clarity. Defaults to adopt [inference]: quote every string, keep each phrase short (25 characters is the only numeric limit I found, and it is Imagen-specific), cap a graphic at about three text blocks, specify typeface character not a font name, and always proofread output letter by letter. Failure modes. Misspellings, dropped letters, wrong placement and substituted fonts; the docs do not give error rates. Limitations. Different vendors, different model generations; no cross-vendor test was run. Version/date. 2026-10-23.","locator":"Text in Images; Short text in a plain prompt; Generate text in images; Generate text in images; Generate text in images; Accurate text in images; infographic example; Limitations; Limitations","classification":"sourced_fact"}],"review":"unreviewed","execution":"not_run","inspection":"source_inspected","execution_record_ids":[]},"language":"en","categories":["T05","T17"],"extensions":{"curation/v1":{"curator":"CURATOR-A-20261021","revision":2,"topic_ids":["CAT:T05.05"],"confidence":"Only Imagen gives numeric limits and its guidance is for Imagen 3; whether newer Google models keep the 25-character advice is not stated. Claims of improved text rendering are vendor statements.","limitations":["Only Imagen gives numeric limits and its guidance is for Imagen 3; whether newer Google models keep the 25-character advice is not stated. Claims of improved text rendering are vendor statements.","Source pin hashes are native catalogue descriptor hashes, not upstream byte hashes. Original evidence pins: R1: f9bdbce02f3fce8da2b835dd7784633ebe4fd3554d6543e1b8c3a93ebafee485; R15: 5982d82f4442fad35f683d1fcd95bd383615f51e64ef3097634605f014c54f3c; R14: c9ed5e83b5c38239b8fe539d15d03dbec9625af3c23ab43e2160de8a83c42ad4; R13: da9c19af3ab2f7d1dcd82e20aa8d4dfbbac3afc0c68ca9a003ee93497d6a43e1","Corrected by C3-B955-06 (2026-10-24)."],"observed_at":"2026-10-23T19:07:20.000Z","source_pins":[{"locator":"Text in Images; Short text in a plain prompt; Generate text in images; Generate text in images; Generate text in images; Accurate text in images; infographic example; Limitations; Limitations","source_id":"src:577a9ac4692dda416c8678ab","version_id":"ver:504a5b748be8e61b6305b155","observed_at":"2026-10-23T19:07:20.000Z","canonical_url":"https://docs.bfl.ml/guides/prompting_unified_style.md","version_sha256":"a109f59e383b4f35475ba518063e31a5fdddcf3b01e5e19d00773ea3ef00cbea"},{"locator":"Text in Images; Short text in a plain prompt; Generate text in images; Generate text in images; Generate text in images; Accurate text in images; infographic example; Limitations; Limitations","source_id":"src:3a0a5a14bb33b36c363368f0","version_id":"ver:e08e9ce4b082ab38440e964f","observed_at":"2026-10-23T19:07:20.000Z","canonical_url":"https://docs.cloud.google.com/vertex-ai/generative-ai/docs/image/img-gen-prompt-guide","version_sha256":"c117f6c9b7d142920311a807afa47cf8c0a8839ec2f95520ee400ee179340215"},{"locator":"Text in Images; Short text in a plain prompt; Generate text in images; Generate text in images; Generate text in images; Accurate text in images; infographic example; Limitations; Limitations","source_id":"src:205e153c1dfc6215f628fbe8","version_id":"ver:f39838fd3fa4b0b3635a0e6c","observed_at":"2026-10-23T19:07:20.000Z","canonical_url":"https://ai.google.dev/gemini-api/docs/image-generation.md.txt","version_sha256":"e83349cb3b127d2c4bfca068788db2e785c2e05787494551a5a0cc5ced136f85"},{"locator":"Text in Images; Short text in a plain prompt; Generate text in images; Generate text in images; Generate text in images; Accurate text in images; infographic example; Limitations; Limitations","source_id":"src:c6d5df09008a2b123769d915","version_id":"ver:70fdfd274b951db213323e2a","observed_at":"2026-10-24T02:54:18.000Z","canonical_url":"https://developers.openai.com/api/docs/guides/image-generation.md","version_sha256":"dd269a538c4783b6475b85fcbf64af94fcddb70736c6a1afb867a165ca5a5473"}],"candidate_id":"C3-B593-01","claim_status":"source_fact","rights_basis":"Original curator/discovery summary with short quotations; public sources; source rights unchanged and not cleared for reuse of the source itself.","qualification":"shared_operator_desk_qa","supersedes_sha256":"ab8057272f7d8996f365995ea16296041b9e9da90dca1e2e3cf58160de74f527"}},"visibility":"public","attribution":{"origin":"research_agent","upstream_url":null,"imported_from":null,"upstream_owner":null,"import_batch_id":null}},"observed_on":null,"original_id":"p-903efbf51360e14ac12c3f59bbb592cf36a8a913/record","source_file":"records/p-903efbf51360e14ac12c3f59bbb592cf36a8a913/record.json","research_side":{},"source_schema":"create-record-input/v1","original_sha256":"4a5145f48c8f6807916d26c98f028f68fb998df08781e8cb2b4cf674f8e5dae6","unmapped_fields":[]},{"batch_id":"pipe-9b3e208fbe1a4c6ef9b953a115e445b48238a387","original":{"body":{"text":"Problem. Generated posters, logos and title cards need correct words; vendors give different rules. Conditions. Vendor docs fetched 23 Oct 2026; model names change quickly. Method (documented). FLUX 3 Image (BFL): for each text block quote the exact words with the capitalisation and punctuation wanted, say where it sits in the frame, and describe the type (weight, case, colour, character, e.g. a clean sans-serif black font); a word or short line needs no layout, just a quoted string and a place. Imagen on Vertex AI (Imagen 3 guidance): keep text to 25 characters or less, use at most two or three distinct phrases, expect placement variations, name a general font style but do not expect precise font replication, give a size word (small, medium, large), and regenerate until it works. Gemini image docs: be clear about the text, the font style (descriptively) and the overall design, with a template of the form Create a [image type] for [brand/concept] with the text \"[text to render]\" in a [font style]; they recommend the Pro image model for professional asset production. The Gemini infographic example then edits the same graphic into Spanish with a follow-up turn, so localisation is done by editing rather than regenerating. OpenAI's GPT Image guide lists text rendering among limitations: improved, but the model can still struggle with precise text placement and clarity. Defaults to adopt [inference]: quote every string, keep each phrase short (25 characters is the only numeric limit I found, and it is Imagen-specific), cap a graphic at about three text blocks, specify typeface character not a font name, and always proofread output letter by letter. Failure modes. Misspellings, dropped letters, wrong placement and substituted fonts; the docs do not give error rates. Limitations. Different vendors, different model generations; no cross-vendor test was run. Version/date. 2026-10-23.\n\nCurator correction 2026-10-24 (discovery audit record C3-B955-06; sources re-fetched 2026-10-24, excerpts re-located by curator GET): Source refresh of C3-B593-01 (checked 2026-10-24). The finding's Imagen rules (25 characters, three phrases, no precise font replication) come from the Vertex AI Imagen 3 prompt guide, which still contains them. But the model lifecycle has changed: the Vertex model-versions page lists imagen-3.0-generate-002 and imagen-4.0-generate-001 under 'Retired models' with retirement date June 30, 2026 (upgrade: gemini-2.5-flash-image). The Gemini API deprecations page lists imagen-4.0-generate-001 shutdown 'August 17, 2026' with replacement gemini-nano-banana-2.1, and imagen-3.0-generate-002 'November 10, 2025'. The Gemini API models page lists 'Imagen 4 (Shut down)'. The Vertex prompt-guide page itself says 'Vertex AI documentation is no longer being updated'. So the Imagen guidance is historical; for a live pipeline use the Gemini image docs (Nano Banana models) and treat the 25-character figure as unverified for those models. The Gemini image text advice in the finding remains present on the current page. OpenAI part of C3-B593-01 not re-checked here.\n\nCurator qualifications: All cited documentation excerpts located on the live pages by curator GET; no video sources.\n\nLimitations: Only Imagen gives numeric limits and its guidance is for Imagen 3; whether newer Google models keep the 25-character advice is not stated. Claims of improved text rendering are vendor statements.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://docs.bfl.ml/guides/prompting_unified_style.md","note":"Text in Images; Short text in a plain prompt; Generate text in images; Generate text in images; Generate text in images; Accurate text in images; infographic example; Limitations; Limitations"},{"url":"https://docs.cloud.google.com/vertex-ai/generative-ai/docs/image/img-gen-prompt-guide","note":"Text in Images; Short text in a plain prompt; Generate text in images; Generate text in images; Generate text in images; Accurate text in images; infographic example; Limitations; Limitations"},{"url":"https://ai.google.dev/gemini-api/docs/image-generation.md.txt","note":"Text in Images; Short text in a plain prompt; Generate text in images; Generate text in images; Generate text in images; Accurate text in images; infographic example; Limitations; Limitations"},{"url":"https://developers.openai.com/api/docs/guides/image-generation.md","note":"Text in Images; Short text in a plain prompt; Generate text in images; Generate text in images; Generate text in images; Accurate text in images; infographic example; Limitations; Limitations"}]},"tags":[],"type":"article","links":[],"title":"How do the FLUX, Imagen, Gemini and OpenAI docs tell me to write text I want rendered in an image (quoting, length, font description), and what limits do they admit?","rights":[{"notes":"Applies to this original summary only, not to the cited sources.","hosting":"permitted","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"summary":"Corrected 2026-10-24 - see C3-B955-06; the original statements below are kept for history and are superseded where the correction says so. Problem. Generated posters, logos and title cards need correct words; vendors give different rules. Conditions. Vendor docs fetched 23 Oct 2026; model names change quickly. Method (documented). FLUX 3 Image (BFL): for each text block quote the exact words with the capitalisation and punctuation wanted, say where it sits in the frame, and describe the type (weight, case, colour, character, e.g. a clean sans-serif black font); a word or short line needs no layout, just a quoted string and a place. Imagen on Vertex AI (Imagen 3 guidance): keep text to 25 characters or less, use at most two or three distinct phrases, expect placement variations, name a general font style but do not expect precise font replication, give a size word (small, medium, large), and regenerate until it works. Gemini image docs: be clear about the text, the font style (descri...","evidence":{"claims":[{"url":"https://docs.bfl.ml/guides/prompting_unified_style.md","claim":"Curator correction 2026-10-24 (discovery audit record C3-B955-06; sources re-fetched 2026-10-24, excerpts re-located by curator GET): Source refresh of C3-B593-01 (checked 2026-10-24). The finding's Imagen rules (25 characters, three phrases, no precise font replication) come from the Vertex AI Imagen 3 prompt guide, which still contains them. But the model lifecycle has changed: the Vertex model-versions page lists imagen-3.0-generate-002 and imagen-4.0-generate-001 under 'Retired models' with retirement date June 30, 2026 (upgrade: gemini-2.5-flash-image). The Gemini API deprecations page lists imagen-4.0-generate-001 shutdown 'August 17, 2026' with replacement gemini-nano-banana-2.1, and imagen-3.0-generate-002 'November 10, 2025'. The Gemini API models page lists 'Imagen 4 (Shut down)'. The Vertex prompt-guide page itself says 'Vertex AI documentation is no longer being updated'. So the Imagen guidance is historical; for a live pipeline use the Gemini image docs (Nano Banana models) and treat the 25-character figure as unverified for those models. The Gemini image text advice in the finding remains present on the current page. OpenAI part of C3-B593-01 not re-checked here.","locator":"curator correction paragraph in this record body (C3-B955-06)","classification":"sourced_fact"},{"url":"https://docs.bfl.ml/guides/prompting_unified_style.md","claim":"SUPERSEDED IN PART 2026-10-24 by curator correction C3-B955-06 (see the correction claim above); original kept for history: Problem. Generated posters, logos and title cards need correct words; vendors give different rules. Conditions. Vendor docs fetched 23 Oct 2026; model names change quickly. Method (documented). FLUX 3 Image (BFL): for each text block quote the exact words with the capitalisation and punctuation wanted, say where it sits in the frame, and describe the type (weight, case, colour, character, e.g. a clean sans-serif black font); a word or short line needs no layout, just a quoted string and a place. Imagen on Vertex AI (Imagen 3 guidance): keep text to 25 characters or less, use at most two or three distinct phrases, expect placement variations, name a general font style but do not expect precise font replication, give a size word (small, medium, large), and regenerate until it works. Gemini image docs: be clear about the text, the font style (descriptively) and the overall design, with a template of the form Create a [image type] for [brand/concept] with the text \"[text to render]\" in a [font style]; they recommend the Pro image model for professional asset production. The Gemini infographic example then edits the same graphic into Spanish with a follow-up turn, so localisation is done by editing rather than regenerating. OpenAI's GPT Image guide lists text rendering among limitations: improved, but the model can still struggle with precise text placement and clarity. Defaults to adopt [inference]: quote every string, keep each phrase short (25 characters is the only numeric limit I found, and it is Imagen-specific), cap a graphic at about three text blocks, specify typeface character not a font name, and always proofread output letter by letter. Failure modes. Misspellings, dropped letters, wrong placement and substituted fonts; the docs do not give error rates. Limitations. Different vendors, different model generations; no cross-vendor test was run. Version/date. 2026-10-23.","locator":"Text in Images; Short text in a plain prompt; Generate text in images; Generate text in images; Generate text in images; Accurate text in images; infographic example; Limitations; Limitations","classification":"sourced_fact"}],"review":"unreviewed","execution":"not_run","inspection":"source_inspected","execution_record_ids":[]},"language":"en","categories":["T05","T17"],"extensions":{"curation/v1":{"curator":"CURATOR-A-20261021","revision":3,"topic_ids":["CAT:T05.05"],"confidence":"Only Imagen gives numeric limits and its guidance is for Imagen 3; whether newer Google models keep the 25-character advice is not stated. Claims of improved text rendering are vendor statements.","limitations":["Only Imagen gives numeric limits and its guidance is for Imagen 3; whether newer Google models keep the 25-character advice is not stated. Claims of improved text rendering are vendor statements.","Source pin hashes are native catalogue descriptor hashes, not upstream byte hashes. Original evidence pins: R1: f9bdbce02f3fce8da2b835dd7784633ebe4fd3554d6543e1b8c3a93ebafee485; R15: 5982d82f4442fad35f683d1fcd95bd383615f51e64ef3097634605f014c54f3c; R14: c9ed5e83b5c38239b8fe539d15d03dbec9625af3c23ab43e2160de8a83c42ad4; R13: da9c19af3ab2f7d1dcd82e20aa8d4dfbbac3afc0c68ca9a003ee93497d6a43e1","Corrected by C3-B955-06 (2026-10-24).","Structured claims corrected 2026-10-24: correction claim first, original marked superseded in part (L00 0146)."],"observed_at":"2026-10-23T19:07:20.000Z","source_pins":[{"locator":"Text in Images; Short text in a plain prompt; Generate text in images; Generate text in images; Generate text in images; Accurate text in images; infographic example; Limitations; Limitations","source_id":"src:577a9ac4692dda416c8678ab","version_id":"ver:504a5b748be8e61b6305b155","observed_at":"2026-10-23T19:07:20.000Z","canonical_url":"https://docs.bfl.ml/guides/prompting_unified_style.md","version_sha256":"a109f59e383b4f35475ba518063e31a5fdddcf3b01e5e19d00773ea3ef00cbea"},{"locator":"Text in Images; Short text in a plain prompt; Generate text in images; Generate text in images; Generate text in images; Accurate text in images; infographic example; Limitations; Limitations","source_id":"src:3a0a5a14bb33b36c363368f0","version_id":"ver:e08e9ce4b082ab38440e964f","observed_at":"2026-10-23T19:07:20.000Z","canonical_url":"https://docs.cloud.google.com/vertex-ai/generative-ai/docs/image/img-gen-prompt-guide","version_sha256":"c117f6c9b7d142920311a807afa47cf8c0a8839ec2f95520ee400ee179340215"},{"locator":"Text in Images; Short text in a plain prompt; Generate text in images; Generate text in images; Generate text in images; Accurate text in images; infographic example; Limitations; Limitations","source_id":"src:205e153c1dfc6215f628fbe8","version_id":"ver:f39838fd3fa4b0b3635a0e6c","observed_at":"2026-10-23T19:07:20.000Z","canonical_url":"https://ai.google.dev/gemini-api/docs/image-generation.md.txt","version_sha256":"e83349cb3b127d2c4bfca068788db2e785c2e05787494551a5a0cc5ced136f85"},{"locator":"Text in Images; Short text in a plain prompt; Generate text in images; Generate text in images; Generate text in images; Accurate text in images; infographic example; Limitations; Limitations","source_id":"src:c6d5df09008a2b123769d915","version_id":"ver:70fdfd274b951db213323e2a","observed_at":"2026-10-24T02:54:18.000Z","canonical_url":"https://developers.openai.com/api/docs/guides/image-generation.md","version_sha256":"dd269a538c4783b6475b85fcbf64af94fcddb70736c6a1afb867a165ca5a5473"}],"candidate_id":"C3-B593-01","claim_status":"source_fact","rights_basis":"Original curator/discovery summary with short quotations; public sources; source rights unchanged and not cleared for reuse of the source itself.","qualification":"shared_operator_desk_qa","supersedes_sha256":"e01cfbaa93ae3d1b22df23af36123174251ec9cfa08e46e821144d095411f03c"}},"visibility":"public","attribution":{"origin":"research_agent","upstream_url":null,"imported_from":null,"upstream_owner":null,"import_batch_id":null}},"observed_on":null,"original_id":"p-903efbf51360e14ac12c3f59bbb592cf36a8a913/record","source_file":"records/p-903efbf51360e14ac12c3f59bbb592cf36a8a913/record.json","research_side":{},"source_schema":"create-record-input/v1","original_sha256":"06b3dcdb6db0b0eb3ea9a5e292944df5eed7d746143064aa3ed2849223231375","unmapped_fields":[]}],"publication":{"rule":"item_visibility","policy":"l05-publication/1","visibility":"public"}},"curation/v1":{"curator":"CURATOR-A-20261021","revision":3,"topic_ids":["CAT:T05.05"],"confidence":"Only Imagen gives numeric limits and its guidance is for Imagen 3; whether newer Google models keep the 25-character advice is not stated. 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