#!/usr/bin/env python3 """Gera as fotos do criativo 09 v2 - CONCEITO CORRETO. Conceito: o sistema analisa a pasta de UM formando especifico (formando 112). Ele aparece em muitas fotos, mas na maioria delas ele e so figurante no fundo de fotos de OUTROS formandos (cabeca baixa, de costas, passando, borrado). O Cloud PhotoRF 2.0 identifica isso e descarta em lote da pasta dele. Precisa de 2 tipos de foto: PASSO 1 - KEEP (1 foto): Close-up/retrato nitido da formanda 112 em primeiro plano, nitida, focada. Essa e a UNICA foto do grid que vale a pena manter. PASSO 2 - BG (7 fotos): Cenas de evento onde OUTRAS pessoas sao protagonistas. Em cada uma, um figurante no fundo (borrado, cabeca baixa, de costas, passando). O conceito funciona pela narrativa + a cara borrada do fundo e exatamente o que o sistema identifica. Modelo: gpt-image-2.5-sunburst (preferido) Fallbacks: 2.5-flare -> 2 -> 1.5 PROIBIDO: gpt-image-1 """ import os import base64 import sys from pathlib import Path env_path = Path("/opt/mia/.env") for line in env_path.read_text().splitlines(): if line.startswith("OPENAI_API_KEY="): os.environ["OPENAI_API_KEY"] = line.split("=", 1)[1].strip() OUT_DIR = Path("/opt/mia/workspace/clientes/px3lab/criativos_lancamento_1007/09_revisao_fundos") OUT_DIR.mkdir(parents=True, exist_ok=True) FOTOS_DIR = OUT_DIR / "fotos_v2_raw" FOTOS_DIR.mkdir(exist_ok=True) MODELS = [ "gpt-image-2.5-sunburst", "gpt-image-2.5-flare", "gpt-image-2", "gpt-image-1.5", ] # ============================================================================ # PROMPTS # ============================================================================ PROMPT_KEEP = ( "Photorealistic professional close-up portrait photograph of a young " "Brazilian woman graduate, 25 years old, long dark wavy hair, warm " "confident smile, facing camera directly, wearing a black graduation gown " "with burgundy sash and golden tassel, holding her rolled diploma proudly " "in both hands at chest level. Warm golden event lighting on her face, " "shallow depth of field, out-of-focus bokeh of graduation ceremony venue " "behind (candles, drapery, golden lights). 85mm portrait lens, f/1.8, " "crisp sharp focus on her face and eyes, in-focus foreground subject. " "Professional event photographer capture. Natural skin tones, no " "retouching. NOT AI-looking, documentary photojournalism feel. Square 1:1 " "framing." ) # 7 fotos de BG - cenas de evento onde outras pessoas sao protagonistas, # e um figurante aparece no FUNDO (borrado, de costas, cabeca baixa). # A ideia e: cada foto tem OUTRO formando como foco, mas um corpo/figura ao # fundo que o sistema identificou como sendo a formanda 112. PROMPTS_BG = [ # BG 1 - foto principal de outro formando, figura passando no fundo ( "bg_1_passando", "Photorealistic candid event photograph. Foreground: a Brazilian male " "graduate (30yo, short dark hair, black graduation gown with burgundy " "sash) smiling broadly at the camera in sharp focus. Background: " "out-of-focus, a female figure with long dark hair wearing a dark " "graduation gown walking past from left to right, motion-blurred, " "head slightly down, face not visible. Warm golden ambient lighting, " "graduation ceremony venue, bokeh of candles behind. 50mm lens, f/2, " "shallow depth of field. Documentary event photography. Background " "figure is clearly unintentional - a bystander in frame. Not AI " "looking, natural, candid. Square 1:1 framing." ), # BG 2 - foto de grupo de outros, figura ao fundo cabeca baixa ( "bg_2_cabeca_baixa", "Photorealistic candid event photograph. Foreground: group of three " "Brazilian graduates (two women, one man, 25-30yo, black graduation " "gowns with burgundy sashes) posing together with arms around each " "other, smiling, in sharp focus. Background: slightly out-of-focus, " "a lone female figure with long dark hair in dark graduation gown " "looking down at her phone, head tilted down, face hidden by hair. " "Warm event lighting, out-of-focus bokeh of ceremony behind. 35mm " "lens, f/2.8. Documentary candid style. The background figure is " "unintentional, a bystander caught in frame. Not AI-looking, natural. " "Square 1:1 framing." ), # BG 3 - closeup diploma, figura de costas no fundo ( "bg_3_de_costas", "Photorealistic candid event photograph. Foreground: close-up of two " "hands exchanging a rolled graduation diploma with burgundy ribbon, " "sharp focus on the diploma and hands. Background: out-of-focus, the " "back of a female graduate with long dark hair in black graduation " "gown walking away from the camera. Warm golden lighting, bokeh of " "event venue behind. 85mm lens, f/1.8, extremely shallow depth of " "field. Documentary event photography. The background figure is " "incidental, caught in frame. Natural, candid, not AI-looking. " "Square 1:1 framing." ), # BG 4 - palco amplo, varias figuras pequenas sentadas ( "bg_4_platea_distante", "Photorealistic wide shot of a Brazilian graduation ceremony. " "Foreground: elevated view from stage looking out at the audience. " "Multiple graduates seated in rows wearing black gowns with burgundy " "sashes, all facing forward toward speaker. One female figure with " "long dark hair visible mid-row looking slightly down at her lap. " "Warm golden ambient event lighting, decorated venue with drapery. " "35mm wide lens, f/4, deep depth of field but far distance makes " "faces not readable. Documentary ceremony photography. Not AI-looking, " "natural event photo. Square 1:1 framing." ), # BG 5 - selfie de dois, figura passando atras borrada ( "bg_5_selfie_fundo_borrado", "Photorealistic candid event photograph. Foreground: two Brazilian " "graduates (a man and a woman, 25yo, black graduation gowns with " "burgundy sashes) taking a selfie together with phone held out, " "smiling broadly, sharp focus on their faces. Background: completely " "out-of-focus, a female figure with long dark hair in dark gown " "crossing behind them, motion-blurred, face not identifiable, just a " "silhouette. Warm golden event lighting, bokeh of candles and " "drapery. 50mm lens, f/1.8, extremely shallow depth of field. " "Documentary candid style. Not AI-looking, natural. Square 1:1 " "framing." ), # BG 6 - casal abracado, figura ao canto olhando pro lado ( "bg_6_olhando_para_o_lado", "Photorealistic candid event photograph. Foreground: a graduate (man, " "28yo, black gown with burgundy sash) hugging his smiling mother " "(50yo, elegant dress), warm emotional moment, sharp focus. " "Background: slightly out-of-focus to the right edge of frame, a " "lone female figure with long dark hair in black graduation gown " "looking away to the side, profile view only, face partially visible. " "Warm golden event lighting, bokeh of ceremony venue. 50mm lens, " "f/2. Documentary event photography. Background figure caught " "incidentally in frame. Natural, not AI-looking. Square 1:1 framing." ), # BG 7 - brinde amplo, figura entre a multidao de cabeca baixa ( "bg_7_multidao_cabeca_baixa", "Photorealistic wide shot of a Brazilian graduation celebration. " "Foreground: multiple graduates (6-7 people, mixed, 25-30yo, black " "gowns with burgundy sashes) raising champagne glasses in a toast, " "all smiling broadly facing each other, sharp focus. Background: in " "the crowd behind them, a female figure with long dark hair in " "graduation gown with head bowed looking at something in her hands, " "partially visible between other people. Warm golden ambient event " "lighting, decorated venue with candles and drapery. 35mm lens, " "f/2.8, shallow depth of field. Documentary candid celebration " "photography. Not AI-looking, natural. Square 1:1 framing." ), ] def gerar(prompt: str, out_path: Path) -> str: try: from openai import OpenAI except ImportError: os.system("pip install --break-system-packages openai -q") from openai import OpenAI client = OpenAI() errors = [] for model in MODELS: try: print(f"[TRY] {model} -> {out_path.name}") resp = client.images.generate( model=model, prompt=prompt, size="1024x1024", quality="high", n=1, ) out_path.write_bytes(base64.b64decode(resp.data[0].b64_json)) print(f"[OK] {model} -> {out_path.name} ({out_path.stat().st_size // 1024} KB)") return model except Exception as e: msg = str(e)[:200] print(f"[WARN] {model} falhou: {msg}") errors.append(f"{model}: {msg}") raise RuntimeError(f"Todos modelos falharam: {errors}") def main(): log = [] # PASSO 1 - KEEP print("\n=== PASSO 1 - KEEP (close-up formanda) ===") out = FOTOS_DIR / "keep_formanda_112.png" if out.exists(): print(f"[SKIP] ja existe: {out.name}") log.append(("keep_formanda_112", "ja_existente")) else: model = gerar(PROMPT_KEEP, out) log.append(("keep_formanda_112", model)) # PASSO 2 - BGs print(f"\n=== PASSO 2 - BGs ({len(PROMPTS_BG)} fotos) ===") for name, prompt in PROMPTS_BG: out = FOTOS_DIR / f"{name}.png" if out.exists(): print(f"[SKIP] ja existe: {out.name}") log.append((name, "ja_existente")) continue model = gerar(prompt, out) log.append((name, model)) # salva log lines = ["# Fotos v2 do criativo 09 - CONCEITO CORRETO\n"] lines.append("Modelo preferido: gpt-image-2.5-sunburst (fallback: 2.5-flare, 2, 1.5)\n") lines.append("\n## Fotos geradas\n") for name, m in log: lines.append(f"- {name}.png -> {m}") lines.append("\n\n## PROMPT_KEEP\n") lines.append(PROMPT_KEEP) lines.append("\n\n## PROMPTS_BG\n") for name, prompt in PROMPTS_BG: lines.append(f"\n### {name}\n{prompt}\n") (OUT_DIR / "PROMPTS_V2.md").write_text("\n".join(lines)) print(f"\n[OK] Log salvo: {OUT_DIR / 'PROMPTS_V2.md'}") if __name__ == "__main__": main()