GPT Image 2.5 的街头摄影提示词。我已经比最近分享的其它一些提示词更喜欢这个了。

GPT-Image-2.5 · @Gdgtify · Wed Sep 23

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分享链接 · https://openimages.ajiang.me/p/2102781535879397525/

GPT Image 2.5 的街头摄影提示词。我已经比最近分享的其它一些提示词更喜欢这个了。 2x2 网格,16:9,AI 挑选 4 个惊艳的主体:// ═══ LEXER:场景…
camera_lens · 35mm-filmcamera_lens · motion-blurcamera_lens · shallow-depth-of-fieldcolor_palette · warm-tonescomposition · multi-panelquality_flags · multi-panel-layout

提示词(原文,逐字保留)

Street photography prompt for GPT Image 2.5. I already like it better than some of the other ones I have shared lately. 2x2 grid, 16:9, AI picks 4 stunning subjects: // ═══ LEXER: Scene Elements ═══ tokens = [ ENV({{CITY}}, {{TIME_WEATHER}}), SUBJ({{SUBJECT_ACTION}}, velocity=1.2m/s, awareness=FALSE), BG({{BACKGROUND_IRONY}}, distance=8m), FG({{CLIPPING_ELEMENT}}, distance=0.5m), GEAR(Leica_M6, Summicron_35mm_f2, {{FILM_STOCK}}) ] // ═══ PARSER: Exposure & Optics Calculator ═══ AST = ExposureTriangle( // To freeze 1.2m/s at 35mm, we need minimum 1/250s shutter = "1/250s", // To keep BG (8m) and Subj (2.5m) in acceptable focus: aperture = "f/5.6", // To compensate for 1/250 @ f/5.6 in {{TIME_WEATHER}}: iso = "800 (pushed_1_stop_from_400)", // Hyperfocal calculation: dof_near = 1.8m, dof_far = 12m, composition = Composition( tilt = -3deg, parallax_shift = Y:-4mm, // Rangefinder viewfinder vs lens axis fg_clip = TRUE ) ) // ═══ CODEGEN: Render Pipeline ═══ function render_street_photo(AST): layer_1 = trace_rays(AST.env, AST .bg) layer_1.apply_dof_blur(focus_plane=2.5m, aperture=5.6) layer_2 = trace_rays(AST.subj) layer_2.apply_motion_blur(vector=AST.subj.velocity * 1/250s) layer_3 = trace_rays(AST.fg) layer_3.apply_dof_blur(focus_plane=2.5m, aperture=5.6, clip=TRUE) composite = z_composite(layer_3, layer_2, layer_1) composite.apply_parallax_shift(AST.composition.parallax_shift) composite.apply_horizon_tilt(AST.composition.tilt) // Film Emulation Pass composite.apply_silver_halide_grain(iso=800, distribution=Poisson) composite.apply_push_processing(shadows=crushed, contrast=high) return composite execute(render_street_photo(AST))

中文译文

GPT Image 2.5 的街头摄影提示词。我已经比最近分享的其它一些提示词更喜欢这个了。 2x2 网格,16:9,AI 挑选 4 个惊艳的主体:// ═══ LEXER:场景元素 ═══ tokens = [ ENV({{CITY}}, {{TIME_WEATHER}}), SUBJ({{SUBJECT_ACTION}}, velocity=1.2m/s, awareness=FALSE), BG({{BACKGROUND_IRONY}}, distance=8m), FG({{CLIPPING_ELEMENT}}, distance=0.5m), GEAR(Leica_M6, Summicron_35mm_f2, {{FILM_STOCK}}) ] // ═══ PARSER:曝光与光学计算器 ═══ AST = ExposureTriangle( // 为了在 35mm 定格 1.2m/s 的运动,我们需要至少 1/250s shutter = "1/250s", // 为了让 BG(8m)和 Subj(2.5m)都处于可接受的清晰范围内: aperture = "f/5.6", // 为了在 {{TIME_WEATHER}} 下补偿 1/250 @ f/5.6: iso = "800 (pushed_1_stop_from_400)", // 超焦距计算: dof_near = 1.8m, dof_far = 12m, composition = Composition( tilt = -3deg, parallax_shift = Y:-4mm, // 旁轴取景器与镜头光轴的视差 fg_clip = TRUE ) ) // ═══ CODEGEN:渲染管线 ═══ function render_street_photo(AST): layer_1 = trace_rays(AST.env, AST .bg) layer_1.apply_dof_blur(focus_plane=2.5m, aperture=5.6) layer_2 = trace_rays(AST.subj) layer_2.apply_motion_blur(vector=AST.subj.velocity * 1/250s) layer_3 = trace_rays(AST.fg) layer_3.apply_dof_blur(focus_plane=2.5m, aperture=5.6, clip=TRUE) composite = z_composite(layer_3, layer_2, layer_1) composite.apply_parallax_shift(AST.composition.parallax_shift) composite.apply_horizon_tilt(AST.composition.tilt) // 胶片模拟 Pass composite.apply_silver_halide_grain(iso=800, distribution=Poisson) composite.apply_push_processing(shadows=crushed, contrast=high) return composite execute(render_street_photo(AST))

来源与署名

原文由 @Gdgtify 发布在 X:查看原推文。 本页逐字保留原文并提供机器翻译的中文解读;版权归原作者所有。

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