# streamlit_app.py — LamboVision · AI Car Studio (native-only UI, no padding) # Flow: Step 1 Gallery (Background Cleaned) → Step 2 AI Configurated (config) → Step 3 AI Generated Video # Tiles use a uniform aspect. Images/videos fit inside (no overflow). “Generate Video From These Results” button included. import os, io, base64, zipfile, requests, streamlit as st from PIL import Image # ===== Theme (dark + Lamborghini orange) ===== try: st._config.set_option("theme.base", "dark") st._config.set_option("theme.primaryColor", "#ff7a1a") st._config.set_option("theme.backgroundColor", "#0e0f12") st._config.set_option("theme.secondaryBackgroundColor", "#161a1f") st._config.set_option("theme.textColor", "#e7e9ed") except Exception: pass # ================= Env & API ================= API_BASE = (os.getenv("AI_LamboVision_API", "http://127.0.0.1:7860") or "http://127.0.0.1:7860").strip().strip("'\"").rstrip("/") HF_TOKEN = (os.getenv("AI_LamboVision_TOKEN", "") or "").strip().strip("'\"") HEADERS = {"Authorization": f"Bearer {HF_TOKEN}"} if HF_TOKEN else {} VIDEO_MAX_PX_DEFAULT = int(os.getenv("VIDEO_MAX_PX", "720")) VIDEO_RES_OPTIONS = ["512P", "768P"] VIDEO_DUR_OPTIONS = ["6", "10"] ASPECT_OPTIONS = ["3:4", "9:16", "1:1", "16:9"] # default 3:4 # ================= Session ================= if "results" not in st.session_state: st.session_state["results"] = None if "job_counter" not in st.session_state: st.session_state["job_counter"] = 0 if "video_ui_max_px" not in st.session_state: st.session_state["video_ui_max_px"] = VIDEO_MAX_PX_DEFAULT # ================= Helpers ================= def _needs_auth(url: str) -> bool: return url.startswith(API_BASE) or url.startswith("outputs/") or url.startswith("/outputs/") def _abs_backend_url(url_or_path: str) -> str: if not url_or_path: return "" if url_or_path.startswith(("http://","https://")): return url_or_path if url_or_path.startswith("/outputs/"): return f"{API_BASE}{url_or_path}" if url_or_path.startswith("outputs/"): return f"{API_BASE}/{url_or_path}" return f"{API_BASE}/{url_or_path.lstrip('/')}" def backend_ok() -> bool: try: r = requests.get(f"{API_BASE}/health", headers=HEADERS, timeout=10) r.raise_for_status() return True except Exception: return False def post_image_edit(data: dict, files_payload): r = requests.post(f"{API_BASE}/v1/image/edit", data=data, files=files_payload or None, headers=HEADERS, timeout=600) r.raise_for_status() return r.json() def post_video(image_url: str, duration="6", resolution="768P", preview_aspect="3:4", prompt_text="", prompt_optimizer=False): payload = { "image_url": image_url, "duration": duration, "resolution": resolution, "preview_aspect": preview_aspect, "prompt": prompt_text or "", "prompt_optimizer": "true" if prompt_optimizer else "false", } r = requests.post(f"{API_BASE}/v1/video/from-image", data=payload, headers=HEADERS, timeout=600) r.raise_for_status() return r.json() @st.cache_data(ttl=300, show_spinner=False) def fetch_bytes(url_or_path: str): if not url_or_path: return None try: url = _abs_backend_url(url_or_path) headers = HEADERS if _needs_auth(url) else None r = requests.get(url, headers=headers, timeout=180) r.raise_for_status() return r.content except Exception: return None def _sniff_mime_from_bytes(b: bytes) -> str: try: fmt = (Image.open(io.BytesIO(b)).format or "JPEG").lower() return {"jpeg":"image/jpeg","jpg":"image/jpeg","png":"image/png","webp":"image/webp"}.get(fmt,"image/jpeg") except Exception: return "image/jpeg" def image_bytes_to_data_url(b: bytes, mime: str | None = None) -> str: if not mime: mime = _sniff_mime_from_bytes(b) enc = base64.b64encode(b).decode("ascii") return f"data:{mime};base64,{enc}" @st.cache_data(ttl=300, show_spinner=False) def image_size_from_bytes(b: bytes): try: im = Image.open(io.BytesIO(b)); return im.size except Exception: return None def infer_ext(data: bytes) -> str: try: im = Image.open(io.BytesIO(data)) fmt = (im.format or "JPEG").lower() return "." + {"jpeg":"jpg","jpg":"jpg","png":"png","webp":"webp"}.get(fmt,"jpg") except Exception: if data[:4] == b"\x00\x00\x00\x18" or data[4:8] == b"ftyp": return ".mp4" return ".bin" def make_zip(named_bytes: list[tuple[str, bytes]]) -> bytes: buf = io.BytesIO() with zipfile.ZipFile(buf, "w", compression=zipfile.ZIP_DEFLATED) as z: for fname, b in named_bytes: if b: z.writestr(fname, b) buf.seek(0); return buf.read() def _parse_aspect_str(s: str): try: a, b = s.split(":"); return max(1, int(a)), max(1, int(b)) except Exception: return (3, 4) def inject_base_css(card_fit_mode="contain"): st.markdown(f""" """, unsafe_allow_html=True) def inject_preview_css(aspect: str): aw, ah = _parse_aspect_str(aspect) st.markdown(f""" """, unsafe_allow_html=True) def show_tile_card_display_download( col, title, display_url: str | None = None, display_bytes: bytes | None = None, download_url: str | None = None, download_bytes: bytes | None = None, filename_stub: str = "image", key_prefix: str = "", ): col.markdown(f'
{title}
', unsafe_allow_html=True) if not display_url and not display_bytes: col.markdown('
', unsafe_allow_html=True) col.caption("—"); return None, None if display_bytes is not None: src = image_bytes_to_data_url(display_bytes) col.markdown(f'
', unsafe_allow_html=True) else: abs_url = _abs_backend_url(display_url) col.markdown(f'
', unsafe_allow_html=True) native = download_bytes or (fetch_bytes(download_url) if download_url else None) if not native: native = display_bytes if native: sz = image_size_from_bytes(native) if sz: col.caption(f"Real Res: {sz[0]}×{sz[1]} px") ext = infer_ext(native) mime = "image/jpeg" if ext.lower() in [".jpg",".jpeg"] else ("image/png" if ext.lower()==".png" else "image/webp") col.download_button("Download (Full Quality)", data=native, file_name=f"{filename_stub}{ext if ext!='.bin' else '.jpg'}", mime=mime, key=f"{key_prefix}_{filename_stub}_dl") else: col.caption("—") return display_url or "data", native def rgba_to_rgb_on_bg(img_rgba: Image.Image, bg_rgb=(255,255,255)) -> Image.Image: if img_rgba.mode != "RGBA": return img_rgba.convert("RGB") bg = Image.new("RGBA", img_rgba.size, (*bg_rgb, 255)) bg.paste(img_rgba, (0,0), img_rgba) return bg.convert("RGB") @st.cache_data(ttl=300, show_spinner=False) def make_small_jpeg_from_native(native: bytes, target_long_edge: int = 1280, bg_rgb=(255,255,255)) -> bytes: im = Image.open(io.BytesIO(native)) if im.mode != "RGBA" and "transparency" not in im.info: im = im.convert("RGB") else: im = im.convert("RGBA") w, h = im.size if w >= h: new_w = min(target_long_edge, w) new_h = max(1, int(h * (new_w / max(1, w)))) else: new_h = min(target_long_edge, h) new_w = max(1, int(w * (new_h / max(1, h)))) im2 = im.resize((new_w, new_h), Image.LANCZOS) im2_rgb = rgba_to_rgb_on_bg(im2, bg_rgb=bg_rgb) out = io.BytesIO(); im2_rgb.save(out, format="JPEG", quality=88, subsampling=1) return out.getvalue() def build_car_prompt(model_name: str, body_color: str, finish: str, wheel_style: str, caliper_color: str, extra: str = "") -> str: base = ( "Catalog-ready studio photo of a Lamborghini from a three-quarter front view. " "Neutral studio background, soft rim light, realistic reflections, no text/logos in background. " "Keep true proportions, lens look (35–50mm), and paint micro-highlights. " "IDENTITY & GEOMETRY LOCK: Treat the car as a fixed real object. " "Do NOT redraw or stylize body panels; preserve body lines, panel gaps, reflections and lenses; " "no rotation/mirroring (Δyaw/pitch/roll ≤ 1°); keep wheel circles true, tire sidewalls, brake discs & calipers, ride height; " "preserve badges/logo integrity; no warp or fake text." ) cfg = ( f" Subject: {model_name}. " f"Change body color to {body_color} with {finish} finish. " f"Wheels: {wheel_style}; brake calipers {caliper_color}. " "Maintain original stance; no suspension changes; no aero additions." ) if extra.strip(): cfg += " " + extra.strip() return base + " " + cfg SCENE_PRESETS = { "Studio Cinematic": "High-end studio cyclorama, soft rim light, tripod-like stability, subtle parallax.", "Monaco Sunset": "Monaco coastal boulevard at golden hour; gentle dolly-in; realistic paint reflections.", "Dubai Night": "Dubai Marina night city lights; lateral parallax; crisp highlights; clean reflections." } def build_video_prompt(scene_name: str, extra: str = "") -> str: base = SCENE_PRESETS.get(scene_name, "High-end studio, subtle parallax, natural camera micro-motion.") lock = " Keep logos and wheel circles intact; no wheel warping; no added text; realistic reflections." if extra.strip(): return base + " " + lock + " " + extra.strip() return base + " " + lock def make_gallery_payload(preview_aspect): return { "category": "auto", "prompt": "", # server defaults to AUTO_CLEAN_PROMPT "num_images": "1", "preview_aspect": preview_aspect, "preview_long_edge": "1536", "preview_ratio": "0.9", "upscale": "false", "upscale_factor": "2", } def make_composition_payload(edit_prompt, preview_aspect, upscale, upscale_factor): return { "category": "auto", "prompt": edit_prompt, "num_images": "1", "preview_aspect": preview_aspect, "preview_long_edge": "1536", "preview_ratio": "0.9", "upscale": "true" if upscale else "false", "upscale_factor": upscale_factor, } # ================= Local demo assets (optional) ================= def load_local_demo(): demo = {} for fname in ["input.jpg", "packshot.jpg", "model.jpg", "tryon.mp4"]: if os.path.exists(fname): with open(fname, "rb") as f: demo[fname] = f.read() return demo demo_files = load_local_demo() # ================= Page ================= st.set_page_config(page_title="LamboVision · AI Car Studio", layout="wide", page_icon="🏎️") inject_base_css(card_fit_mode="contain") st.title("🏎️ LamboVision · AI Car Studio") st.caption("Step 1: Gallery (Background Cleaned) · Step 2: AI Configurated (config) · Step 3: AI Generated Video") ok = backend_ok() # -------- Top control bar -------- col1, col2, col3, col4, col5, col6, col7 = st.columns([1.6, 1.6, 1.0, 1.2, 0.9, 1.1, 0.9]) with col1: file_list = st.file_uploader("Car Image (Upload)", type=["jpg","jpeg","png","webp"], accept_multiple_files=True, key="file_upl") with col2: image_url = st.text_input("Or URL", key="image_url", placeholder="https://... (optional)") with col3: preview_aspect = st.selectbox("Tile Aspect", ASPECT_OPTIONS, index=0, key="preview_aspect") # default 3:4 with col4: to_video = st.checkbox("Auto-generate Video after Run", False, key="to_video") with col5: duration = st.selectbox("Video Duration", VIDEO_DUR_OPTIONS, index=0, key="duration_sel") with col6: resolution = st.selectbox("Video Res", VIDEO_RES_OPTIONS, index=1, key="resolution_sel") with col7: run = st.button("Run 🏁", type="primary", use_container_width=True, key="run_btn") inject_preview_css(preview_aspect) st.caption("All tiles use the same aspect. Images and videos fit inside; no overflow.") # -------- Configurator (dropdowns + custom) -------- st.markdown("### Configurator") MODEL_CHOICES = [ "Revuelto", "Huracán Tecnica", "Huracán Sterrato", "Urus S", "Urus Performante", "Countach LPI 800-4", "Custom…" ] COLOR_CHOICES = [ "Verde Ithaca", "Giallo Orion", "Rosso Mars", "Blu Nethuns", "Nero Noctis", "Bianco Monocerus", "Arancio Borealis", "Custom…" ] FINISH_CHOICES = ["gloss", "matte", "satin"] WHEEL_CHOICES = [ "lightweight forged", "diamond-cut multi-spoke", "center-lock race", "Aesir (20\")", "Taigete (23\")", "Custom…" ] CALIPER_CHOICES = ["yellow", "red", "black", "green", "silver", "Custom…"] c1, c2, c3, c4, c5, c6 = st.columns([1.3, 1.1, 0.9, 1.2, 1.0, 1.4]) with c1: model_sel = st.selectbox("Model", MODEL_CHOICES, index=0, key="cfg_model_sel") model_name = st.text_input("Model (custom)", value="", key="cfg_model_txt") if model_sel == "Custom…" else model_sel with c2: color_sel = st.selectbox("Body color", COLOR_CHOICES, index=0, key="cfg_color_sel") body_color = st.text_input("Body color (custom)", value="", key="cfg_color_txt") if color_sel == "Custom…" else color_sel with c3: finish = st.selectbox("Finish", FINISH_CHOICES, index=0, key="cfg_finish") with c4: wheel_sel = st.selectbox("Wheel style", WHEEL_CHOICES, index=0, key="cfg_wheels_sel") wheel_style = st.text_input("Wheel style (custom)", value="", key="cfg_wheels_txt") if wheel_sel == "Custom…" else wheel_sel with c5: caliper_sel = st.selectbox("Caliper", CALIPER_CHOICES, index=0, key="cfg_caliper_sel") caliper_color = st.text_input("Caliper (custom)", value="", key="cfg_caliper_txt") if caliper_sel == "Custom…" else caliper_sel with c6: extra_prompt = st.text_input("Extra (optional)", value="", placeholder="stripe delete, studio floor reflection, …", key="cfg_extra") # -------- Scene (for video) -------- st.markdown("### Scene") s1, s2 = st.columns([1.2, 1.8]) with s1: scene_name = st.selectbox("Scene preset", list(SCENE_PRESETS.keys()), index=0, key="scene_name") with s2: scene_extra = st.text_input("Scene extra (optional)", value="", key="scene_extra") # ================= SAMPLE PREVIEWS ================= st.subheader("Sample Previews") col_in, col_gallery, col_comp, col_vid = st.columns(4) input_bytes = None if file_list: try: input_bytes = file_list[0].getvalue() except Exception: input_bytes = None elif image_url: input_bytes = fetch_bytes(image_url) elif demo_files.get("input.jpg"): input_bytes = demo_files["input.jpg"] show_tile_card_display_download( col_in, "Input", display_bytes=input_bytes if input_bytes else demo_files.get("input.jpg"), download_bytes=input_bytes if input_bytes else demo_files.get("input.jpg"), filename_stub="input", key_prefix="pre" ) gallery_bytes = demo_files.get("packshot.jpg") or input_bytes show_tile_card_display_download( col_gallery, "Gallery (Background Cleaned)", display_bytes=gallery_bytes, download_bytes=gallery_bytes, filename_stub="gallery", key_prefix="pre" ) conf_bytes = demo_files.get("model.jpg") or input_bytes show_tile_card_display_download( col_comp, "AI Configurated", display_bytes=conf_bytes, download_bytes=conf_bytes, filename_stub="ai_configurated", key_prefix="pre" ) vid_demo = demo_files.get("tryon.mp4") col_vid.markdown('
AI Generated Video
', unsafe_allow_html=True) if vid_demo: data_url = "data:video/mp4;base64," + base64.b64encode(vid_demo).decode("ascii") col_vid.markdown( f"""
""", unsafe_allow_html=True ) col_vid.download_button("Download Video (MP4)", data=vid_demo, file_name="tryon.mp4", mime="video/mp4", key="pre_video_dl") else: col_vid.markdown('
', unsafe_allow_html=True) col_vid.caption("—") # ================= RUN (3-step chain) ================= if run: if not ok: st.error("Backend not reachable. Check API_BASE / TOKEN.") elif not (file_list or image_url or demo_files.get("input.jpg")): st.error("Provide at least one input image (upload or URL).") else: try: files_payload = [] if file_list: for f in file_list: files_payload.append(("files", (f.name, f.getvalue(), f.type or "image/jpeg"))) # ---- Step 1: Gallery (Background Cleaned; native only) ---- gallery_payload = make_gallery_payload(preview_aspect) if image_url: gallery_payload["image_urls"] = image_url out_gallery = post_image_edit(gallery_payload, files_payload if files_payload else None) gallery_native_url = (out_gallery["result"]["images_native"] or [{}])[0].get("url") if out_gallery else None # ---- Step 2: AI Configurated (config prompt; native only) ---- edit_prompt = build_car_prompt( model_name=(model_name or "Lamborghini"), body_color=(body_color or "Verde Ithaca"), finish=finish, wheel_style=(wheel_style or "lightweight forged"), caliper_color=(caliper_color or "yellow"), extra=extra_prompt ) comp_payload = make_composition_payload(edit_prompt, preview_aspect, upscale=False, upscale_factor="2") comp_payload["image_urls"] = gallery_native_url or "" out_comp = post_image_edit(comp_payload, files_payload=None) comp_native_url = (out_comp["result"]["images_native"] or [{}])[0].get("url") if out_comp else None # ---- Optional auto video right after Run ---- vurl = None; ui_hints = {} if st.session_state.get("to_video", False) and (comp_native_url or gallery_native_url): video_prompt = build_video_prompt(scene_name, scene_extra) v = post_video( comp_native_url or gallery_native_url, duration=st.session_state.get("duration_sel", VIDEO_DUR_OPTIONS[0]), resolution=st.session_state.get("resolution_sel", VIDEO_RES_OPTIONS[1]), preview_aspect=st.session_state.get("preview_aspect","3:4"), prompt_text=video_prompt, prompt_optimizer=False, ) vurl = (v.get("result") or {}).get("video", {}).get("url") ui_hints = v.get("ui_hints") or {} if isinstance(ui_hints, dict): st.session_state["video_ui_max_px"] = int(ui_hints.get("suggested_video_max_px", VIDEO_MAX_PX_DEFAULT)) # ---- Save results to session ---- st.session_state["job_counter"] += 1 st.session_state["results"] = { "gallery_native_url": gallery_native_url, "composition_native_url": comp_native_url, "video_url": vurl, "api_base": API_BASE, "preview_aspect": preview_aspect, } except requests.HTTPError as e: st.error(f"HTTP {e.response.status_code}") except Exception as e: st.error(f"Error: {e}") # ================= RESULTS ================= res = st.session_state.get("results") vbytes = None if res: st.subheader("Results") c_gallery, c_comp, c_vid = st.columns([1.2, 1.2, 1.2]) # Gallery (Background Cleaned, native) show_tile_card_display_download( c_gallery, "Gallery (Background Cleaned)", display_url=res.get("gallery_native_url"), download_url=res.get("gallery_native_url"), filename_stub="gallery_native", key_prefix=f"job{st.session_state['job_counter']}" ) # AI Configurated (native) show_tile_card_display_download( c_comp, "AI Configurated", display_url=res.get("composition_native_url"), download_url=res.get("composition_native_url"), filename_stub="ai_configurated_native", key_prefix=f"job{st.session_state['job_counter']}" ) # AI Generated Video c_vid.markdown('
AI Generated Video
', unsafe_allow_html=True) vurl = res.get("video_url") if vurl: abs_v = _abs_backend_url(vurl) c_vid.markdown( f"""
""", unsafe_allow_html=True ) vb = fetch_bytes(abs_v) if vb: vbytes = vb c_vid.download_button("Download Video (MP4)", data=vb, file_name="lambovision_video.mp4", mime="video/mp4", key=f"job{st.session_state['job_counter']}_video_dl") else: c_vid.markdown('
', unsafe_allow_html=True) # ---- Explicit manual video trigger button ---- gen_now = c_vid.button("Generate Video From These Results", key=f"gen_video_job{st.session_state['job_counter']}") if gen_now: src_for_video = res.get("composition_native_url") or res.get("gallery_native_url") if not src_for_video: st.warning("No image available to generate video.") else: with st.spinner("Generating Video …"): try: video_prompt = build_video_prompt(st.session_state.get("scene_name", "Studio Cinematic"), st.session_state.get("scene_extra","")) v = post_video( src_for_video, duration=st.session_state.get("duration_sel", VIDEO_DUR_OPTIONS[0]), resolution=st.session_state.get("resolution_sel", VIDEO_RES_OPTIONS[1]), preview_aspect=st.session_state.get("preview_aspect","3:4"), prompt_text=video_prompt, prompt_optimizer=False, ) vurl2 = (v.get("result") or {}).get("video", {}).get("url") ui_hints = v.get("ui_hints") or {} if vurl2: st.session_state["results"]["video_url"] = vurl2 if isinstance(ui_hints, dict): st.session_state["video_ui_max_px"] = int(ui_hints.get("suggested_video_max_px", VIDEO_MAX_PX_DEFAULT)) st.success("Video is ready. Showing preview…") st.rerun() else: st.info("Video URL not returned.") except requests.HTTPError as e: st.error(f"HTTP {e.response.status_code}") except Exception as e: st.error(f"Error: {e}") # ZIP bundle (bottom row) st.markdown("---") exp_col = st.container() with exp_col: st.markdown("#### Export") named = [] gnat = fetch_bytes(res.get("gallery_native_url")) if res.get("gallery_native_url") else None cnat = fetch_bytes(res.get("composition_native_url")) if res.get("composition_native_url") else None if gnat: named.append((f"gallery_native{infer_ext(gnat)}", gnat)) if cnat: named.append((f"ai_configurated_native{infer_ext(cnat)}", cnat)) if vbytes: named.append(("video.mp4", vbytes)) if named: zip_bytes = make_zip(named) st.download_button("Download All (ZIP)", data=zip_bytes, file_name="lambovision_outputs.zip", mime="application/zip", key=f"job{st.session_state['job_counter']}_zip_dl") else: st.caption("—") # ================= Sidebar ================= with st.sidebar: st.caption(f"API_BASE: {API_BASE}") if HF_TOKEN: st.caption("Auth: Bearer (active)") st.slider("Video preview width (px)", 360, 1080, st.session_state["video_ui_max_px"], step=10, key="video_ui_max_px") if st.button("Clear cache"): st.cache_data.clear(); st.success("Cache cleared.") if st.button("Clear results"): st.session_state["results"] = None; st.success("Cleared.")