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# - Dropdown model sesuai doc: ['veo-2.0-generate-001','veo-3.0-fast-generate-001','veo-3.0-generate-001']
# - Quota/rate-limit fallback notification
# - Floating donate buttons (right-bottom): Saweria & Ko-fi
import os, re, time, uuid, json, base64, requests
from typing import Optional, List, Dict, Any, Tuple
from datetime import datetime
from concurrent.futures import ThreadPoolExecutor, as_completed
import streamlit as st
# ---------- APP & ENV ----------
st.set_page_config(page_title="VidGen — Veo", page_icon="🎬", layout="wide")
os.environ.setdefault("HOME", "/home/user")
os.environ.setdefault("STREAMLIT_SERVER_MAX_UPLOAD_SIZE", "1024")
OUTPUT_DIR = "/home/user/outputs"
os.makedirs(OUTPUT_DIR, exist_ok=True)
# ---------- STYLE ----------
st.markdown("""
<style>
:root{--brand:#e44595}
section[data-testid="stSidebar"]{background:#171a20}
.stButton button{background:var(--brand);color:#fff;border:none;border-radius:10px;padding:.55rem 1rem}
.stButton button:hover{filter:brightness(.92)}
.badge{display:inline-block;padding:.20rem .60rem;border-radius:999px;background:#1f2430;color:#9fb0c3;border:1px solid #2b2f36;font-size:.80rem;margin-right:.35rem}
.hr{height:1px;background:#2b2f36;border:none;margin:.75rem 0 1rem}
.card{border:1px solid #2b2f36;border-radius:12px;padding:1rem;background:#12151b}
.small{font-size:.85rem;color:#9fb0c3}
/* Floating Donate */
#donate-wrap{
position:fixed; right:18px; bottom:18px; z-index:9999;
display:flex; flex-direction:column; gap:10px;
}
.donate-btn{
display:inline-flex; align-items:center; gap:8px;
padding:10px 14px; border-radius:999px; text-decoration:none; font-weight:600;
border:1px solid #2b2f36; background:#171a20; color:#fff;
box-shadow:0 8px 20px rgba(0,0,0,.25);
}
.donate-btn:hover{ filter:brightness(1.05) }
.donate-saweria{ background:#222; }
.donate-kofi{ background:#2b3a4a; }
</style>
""", unsafe_allow_html=True)
# ---------- MODELS & DEFAULTS ----------
MODELS_UI = [
"veo-2.0-generate-001",
"veo-3.0-fast-generate-001",
"veo-3.0-generate-001",
]
MODEL_MAP = {
"veo-2.0-generate-001": "veo-2.0-generate-001",
"veo-3.0-fast-generate-001": "veo-3.0-fast-generate-001",
"veo-3.0-generate-001": "veo-3.0-generate-001",
}
ASPECTS = ["16:9", "9:16"]
NEG_DEF = (
"no text overlays, no subtitles, no watermarks, no copyright logos, no UI elements, "
"no cartoon or comic effects, no unrealistic body proportions, no extra limbs, "
"no deformed anatomy, no blurry or out-of-focus areas, no distorted hands or faces, "
"no glitches, no pixelation, no low resolution artifacts, no compression noise, "
"no color banding, no oversaturation, no unnatural lighting, no artificial shadows, "
"no grainy textures, no harsh contrast, no underexposed or overexposed areas, "
"no camera shake, no motion blur, no jitter, no poor audio quality, no lip-sync issues, "
"no robotic or unnatural movements, no floating objects, no duplicate subjects, "
"no text artifacts, no borders, no frames, no vignette, no film grain, "
"no depth-map errors, no watermark-like textures, no flickering, no chromatic aberration"
)
# ---------- FAST DOWNLOADER ----------
DL_MAX_THREADS = int(os.getenv("VIDGEN_DL_THREADS", "12"))
DL_PART_SIZE = int(os.getenv("VIDGEN_DL_PARTSIZE", str(8*1024*1024))) # 8MB
DL_CHUNK_SIZE = int(os.getenv("VIDGEN_DL_CHUNK", str(4*1024*1024))) # 4MB
DL_TIMEOUT = (10, 600)
SESSION = requests.Session()
SESSION.mount("https://", requests.adapters.HTTPAdapter(pool_connections=64, pool_maxsize=64, max_retries=2))
SESSION.mount("http://", requests.adapters.HTTPAdapter(pool_connections=64, pool_maxsize=64, max_retries=2))
def _autotune(total_bytes:int)->Tuple[int,int,int]:
threads = min(DL_MAX_THREADS, 12)
part = max(DL_PART_SIZE, 8*1024*1024)
chunk = max(DL_CHUNK_SIZE, 4*1024*1024)
if total_bytes >= 512*1024*1024:
threads = min(DL_MAX_THREADS,16); part=max(part,16*1024*1024); chunk=max(chunk,8*1024*1024)
elif total_bytes >= 256*1024*1024:
threads = min(DL_MAX_THREADS,14); part=max(part,12*1024*1024); chunk=max(chunk,6*1024*1024)
elif total_bytes >= 128*1024*1024:
threads = min(DL_MAX_THREADS,12); part=max(part,10*1024*1024); chunk=max(chunk,4*1024*1024)
return threads, part, chunk
def _probe_len_range(url:str, headers:dict)->Tuple[int,bool]:
try:
rh=SESSION.head(url, headers=headers, timeout=DL_TIMEOUT, allow_redirects=True)
if rh.status_code==200:
total=int(rh.headers.get("Content-Length","0") or 0)
return total, ("bytes" in rh.headers.get("Accept-Ranges","").lower())
except requests.RequestException: pass
try:
r=SESSION.get(url, headers={**headers,"Range":"bytes=0-0"}, timeout=DL_TIMEOUT)
if r.status_code in (200,206):
cr=r.headers.get("Content-Range","")
if "/" in cr: return int(cr.split("/")[-1]), True
return int(r.headers.get("Content-Length","0") or 0), (r.status_code==206)
except requests.RequestException: pass
return 0, False
def _range_job(url:str, s:int, e:int, headers:dict)->bytes:
h=dict(headers); h["Range"]=f"bytes={s}-{e}"
r=SESSION.get(url, headers=h, timeout=DL_TIMEOUT)
r.raise_for_status()
return r.content
def fast_download(uri:str, dst:str, prog, api_key:str, start_frac:float=0.90):
headers={"x-goog-api-key": api_key or "", "X-Goog-Api-Key": api_key or ""}
total,range_ok = _probe_len_range(uri, headers)
t_threads, t_part, t_chunk = _autotune(total if total>0 else DL_PART_SIZE*4)
if total>0 and range_ok and total>=t_part*2:
parts=[(i, min(i+t_part-1, total-1)) for i in range(0,total,t_part)]
done=0; last=time.time()
with open(dst,"wb") as f: f.truncate(total)
with ThreadPoolExecutor(max_workers=min(t_threads,len(parts))) as ex:
futs={ex.submit(_range_job,uri,s,e,headers):(s,e) for s,e in parts}
for fut in as_completed(futs):
s,e=futs[fut]; data=fut.result()
with open(dst,"r+b") as f: f.seek(s); f.write(data)
done += (e-s+1)
now=time.time()
if now-last>0.2:
prog.progress(min(1.0, start_frac + (done/total)*(1-start_frac))); last=now
prog.progress(1.0); return
with SESSION.get(uri, headers=headers, stream=True, timeout=DL_TIMEOUT) as r:
r.raise_for_status()
clen=int(r.headers.get("Content-Length","0") or 0)
read=0; last=time.time()
with open(dst,"wb") as f:
for chunk in r.iter_content(t_chunk):
if not chunk: continue
f.write(chunk)
if clen:
read+=len(chunk); now=time.time()
if now-last>0.2:
prog.progress(min(1.0, start_frac + (read/clen)*(1-start_frac))); last=now
prog.progress(1.0)
# ---------- MEDIA UTILS ----------
def _ffprobe_path():
try:
import imageio_ffmpeg; return imageio_ffmpeg.get_ffprobe_exe()
except Exception:
return None
def get_video_size(path:str)->Tuple[int,int]:
fp=_ffprobe_path()
if not fp: return (0,0)
import subprocess, json, shlex
out=subprocess.check_output(shlex.split(f'"{fp}" -v error -select_streams v:0 -show_entries stream=width,height -of json "{path}"'))
d=json.loads(out.decode()); s=d.get("streams",[{}])[0]
return int(s.get("width",0)), int(s.get("height",0))
def has_audio_stream(path:str)->Optional[bool]:
fp=_ffprobe_path()
if not fp: return None
import subprocess, json, shlex
out=subprocess.check_output(shlex.split(f'"{fp}" -v error -select_streams a -show_entries stream=index -of json "{path}"'))
return bool(json.loads(out.decode()).get("streams"))
def mute_video(src:str, dst:str):
import imageio_ffmpeg, subprocess, shlex, os
ff=imageio_ffmpeg.get_ffmpeg_exe()
cmd=f'"{ff}" -y -i "{src}" -map 0:v:0 -c:v copy -map -0:a -map -0:s -dn -movflags +faststart "{dst}"'
try:
subprocess.run(shlex.split(cmd), check=True)
try:
if has_audio_stream(dst) is False: return
except Exception:
return
except Exception:
pass
tmp=dst+".tmp.mp4"
cmd=f'"{ff}" -y -i "{src}" -an -c:v libx264 -preset veryfast -crf 18 -movflags +faststart "{tmp}"'
subprocess.run(shlex.split(cmd), check=True)
os.replace(tmp,dst)
# ---------- HELPERS ----------
def _b64(file)->Tuple[str,str,str]:
data=file.read()
mime="image/jpeg" if file.type in ("image/jpeg","image/jpg") else "image/png"
return base64.b64encode(data).decode(), mime, file.name
def slug_from_prompt(p:str,max_words:int=7)->str:
if not p: return "video"
words=re.findall(r"[A-Za-z0-9\-]+", p)[:max_words]
title=re.sub(r"[^A-Za-z0-9\-\s_]+","", " ".join(words)).strip()
title=re.sub(r"\s+"," ",title)
return title or "video"
def out_path(prompt:str)->str:
base=slug_from_prompt(prompt,7); uniq=str(uuid.uuid4().int % 100).zfill(2)
path=os.path.join(OUTPUT_DIR, f"veo_{base}_{uniq}.mp4")
if os.path.exists(path):
path=os.path.join(OUTPUT_DIR, f"veo_{base}_{uniq}_{uuid.uuid4().hex[:2]}.mp4")
return path
def parse_prompt_json(raw:str)->List[Dict[str,Any]]:
data=json.loads(raw)
if not isinstance(data,list): raise ValueError("JSON harus berupa array.")
for i,x in enumerate(data,1):
if not isinstance(x,dict): raise ValueError(f"Item ke-{i} bukan objek.")
if (x.get("mode","text")=="text") and ("prompt" not in x):
raise ValueError(f"Item ke-{i} tidak punya field 'prompt'.")
return data
def is_quota_error(exc: Exception) -> bool:
s = (str(exc) or "").lower()
return ("resource_exhausted" in s) or ("rate limit" in s) or ("quota" in s) or ("429" in s)
def show_quota_fallback(container, model_id: str):
with container:
st.error("🚦 API limit/quota tercapai (rate-limited).")
st.markdown(
f"- Coba **model** lain atau jalankan ulang nanti (model sekarang: `{model_id}`).\n"
f"- Kurangi batch / jalankan satu per satu.\n"
f"- Pastikan **billing & kuota** akun Google AI aktif.\n"
f"- Jika suka dengan proyek ini, boleh dukung pengembangan di tombol donasi kanan bawah 🙂",
)
# ---------- CORE GENERATOR ----------
def generate_one_with_ui(
*,
api_key: str,
model_ui: str,
mode: str, # "text"|"image"
prompt: str,
negative_prompt: Optional[str],
aspect: str,
want_resolution: str, # "720p"|"1080p"
person_generation: Optional[str],
img_b64: Optional[str],
img_mime: Optional[str],
enable_audio: bool,
ui_box: st.container,
tz_name: str = "Asia/Jakarta",
) -> Dict[str,Any]:
from google import genai
from google.genai import types
from google.genai.errors import ClientError
model_id = MODEL_MAP.get(model_ui, model_ui)
header = ui_box.container()
with header:
st.markdown("### 🎬 Video Pair")
st.markdown(
f'<span class="badge">Model: {model_ui}</span>'
f'<span class="badge">Aspect: {aspect}</span>'
f'<span class="badge">Request: {want_resolution}</span>'
f'<span class="badge">Durasi: 8s</span>',
unsafe_allow_html=True,
)
client = genai.Client(api_key=api_key)
def build_cfg():
# 9:16 -> 720p; 16:9 -> 720p/1080p
res = "720p" if aspect=="9:16" else ("1080p" if want_resolution=="1080p" else "720p")
cfg_kwargs = dict(
aspect_ratio=aspect,
resolution=res,
number_of_videos=1,
negative_prompt=(negative_prompt or None),
)
if person_generation not in (None, "", "auto"):
cfg_kwargs["person_generation"] = person_generation
return types.GenerateVideosConfig(**cfg_kwargs)
def run_call(_cfg):
if mode == "text":
return client.models.generate_videos(model=model_id, prompt=prompt, config=_cfg)
else:
from google.genai import types as t
img = t.Image(image_bytes=base64.b64decode(img_b64), mime_type=img_mime)
return client.models.generate_videos(model=model_id, prompt=prompt or "", image=img, config=_cfg)
def _start_and_download(_cfg):
prog = ui_box.progress(0.02)
note = ui_box.info(f"⏳ Menghasilkan video… (Google Veo)")
t0 = time.time()
# --- panggilan API + polling dengan guard quota ---
try:
op = run_call(_cfg)
except ClientError as ce:
if is_quota_error(ce):
note.empty(); show_quota_fallback(ui_box, model_id); return {"error":"quota"}
raise
except Exception as e:
if is_quota_error(e):
note.empty(); show_quota_fallback(ui_box, model_id); return {"error":"quota"}
raise
ticks = 0
while True:
try:
if op.done: break
time.sleep(6); ticks += 1
prog.progress(min(0.90, 0.02 + ticks*0.06))
note.info("⏳ Polling status dari server…")
op = client.operations.get(op)
except ClientError as ce:
if is_quota_error(ce):
note.empty(); show_quota_fallback(ui_box, model_id); return {"error":"quota"}
raise
except Exception as e:
if is_quota_error(e):
note.empty(); show_quota_fallback(ui_box, model_id); return {"error":"quota"}
raise
prog.progress(0.90); note.info("📥 Mengunduh hasil…")
resp = getattr(op, "response", None) or getattr(op, "result", None)
vids = getattr(resp, "generated_videos", None)
if not resp or not vids:
note.empty(); ui_box.error("API tidak mengembalikan video.")
return None
video = vids[0]
tmp = os.path.join(OUTPUT_DIR, f"tmp_{uuid.uuid4().hex}.mp4")
final = out_path(prompt or "video")
uri = getattr(video.video, "uri", None) or getattr(video, "uri", None)
if uri:
try:
fast_download(uri, tmp, prog, api_key or "")
except Exception as e:
note.warning(f"Gagal parallel download, fallback: {e}")
try:
client.files.download(file=video.video)
try:
video.video.save(tmp); prog.progress(1.0)
except Exception:
content=getattr(video.video,"bytes",None)
if not content: raise RuntimeError("video kosong")
with open(tmp,"wb") as f: f.write(content)
prog.progress(1.0)
except Exception as e2:
note.empty(); ui_box.error(f"Gagal unduh: {e2}")
return None
else:
try:
client.files.download(file=video.video)
try:
video.video.save(tmp); prog.progress(1.0)
except Exception:
content=getattr(video.video,"bytes",None)
if not content: raise RuntimeError("video kosong")
with open(tmp,"wb") as f: f.write(content)
prog.progress(1.0)
except Exception as e:
note.empty(); ui_box.error(f"Gagal unduh: {e}")
return None
if not enable_audio:
try: mute_video(tmp, final); os.remove(tmp)
except Exception as e: os.replace(tmp, final); ui_box.warning(f"Gagal mute: {e}")
else:
os.replace(tmp, final)
from zoneinfo import ZoneInfo
try: tz = ZoneInfo(tz_name or "Asia/Jakarta")
except Exception: tz = ZoneInfo("UTC")
finished = datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S %Z")
elapsed = int(time.time() - t0)
w,h = get_video_size(final)
prog.progress(1.0); note.empty()
with ui_box:
st.success("Selesai ✅")
st.markdown(
f'<span class="badge">⏱️ {finished}</span>'
f'<span class="badge">🕒 {elapsed}s</span>'
f'<span class="badge">Dim: {w}×{h or "?"}</span>'
f'<span class="badge">Provider: Google AI</span>',
unsafe_allow_html=True,
)
st.video(final)
with open(final,"rb") as fh:
st.download_button("⬇️ Download Video", fh, file_name=os.path.basename(final), use_container_width=True)
return {"path": final, "h": h, "res_used": _cfg.resolution}
try:
cfg = build_cfg()
res = _start_and_download(cfg)
if res and "path" in res:
final_res = res.get("res_used", cfg.resolution if hasattr(cfg, "resolution") else "720p")
return {"path": res["path"], "meta":{
"mode": ("image" if img_b64 else "text"),
"aspect_ratio": aspect,
"resolution": final_res
}}
return res or {"error":"failed"}
except ClientError as ce:
if is_quota_error(ce):
show_quota_fallback(ui_box, model_id)
return {"error":"quota"}
ui_box.error(f"Gagal generate (API): {ce}")
return {"error":"client_error"}
except Exception as e:
if is_quota_error(e):
show_quota_fallback(ui_box, model_id)
return {"error":"quota"}
ui_box.error(f"Gagal generate: {e}")
return {"error":"failed"}
# ---------- SIDEBAR ----------
with st.sidebar:
st.header("Credentials")
api_key = st.text_input("Google API Key", type="password", help="Untuk Google AI (GenAI).")
st.markdown('<div class="hr"></div>', unsafe_allow_html=True)
st.header("Setting")
model_ui = st.selectbox("Model", MODELS_UI, index=1) # default: veo-3.0-fast-generate-001
mode_ui = st.radio("Mode", ["Text → Video","Image → Video"])
images_info: List[Tuple[str,str,str]] = []
if mode_ui == "Image → Video":
uploaded = st.file_uploader("Upload gambar (PNG/JPG) — batch", type=["png","jpg","jpeg"], accept_multiple_files=True)
sort = st.checkbox("Urutkan file A→Z", value=True)
if uploaded:
files = sorted(uploaded, key=lambda f:f.name.lower()) if sort else list(uploaded)
st.caption("Urutan pairing:")
for i,f in enumerate(files,1): st.write(f"{i}. {f.name}")
for f in files: images_info.append(_b64(f))
want_resolution = st.selectbox("Target kualitas", ["720p","1080p"], index=0)
aspect = st.selectbox("Aspect Ratio", ASPECTS, index=0)
if aspect=="9:16" and want_resolution=="1080p":
st.info("1080p hanya tersedia untuk 16:9. App akan menggunakan 720p untuk 9:16.")
negative_prompt = st.text_area("Negative Prompt (editable)", value=NEG_DEF, height=120)
person_generation = st.selectbox("Person Generation", ["auto","allow_adult","allow_all"], index=0)
audio_on = st.checkbox("Enable audio (unmute)", value=True)
num_results= st.number_input("Jumlah hasil (per prompt)", 1, 5, 1)
tz_name = st.selectbox("Zona waktu timestamp", ["Asia/Jakarta","Asia/Makassar","Asia/Jayapura","UTC"], index=0)
st.markdown('<div class="hr"></div>', unsafe_allow_html=True)
c1,c2 = st.columns(2)
run_btn = c1.button("Generate Video", use_container_width=True, type="primary")
clr_btn = c2.button("Clear Hasil", use_container_width=True)
# ---------- PROMPT AREA ----------
st.title("🎬 Video Generator — Google Veo (API Key Only)")
st.caption("Dropdown model sesuai dokumen resmi. 1080p hanya untuk 16:9; 9:16 selalu 720p.")
with st.container():
st.subheader("Prompt")
prompt_raw_val = st.text_area("Masukkan Prompt", placeholder="Multi Prompt (enter 1x) atau JSON array", height=160, key="prompt_main")
json_mode = st.checkbox("Prompt JSON", value=False, key="json_mode_main")
# ---------- STATE ----------
for k,v in [("results",[]),("jobs",[]),("job_idx",0),("running",False),("api_key_val","")]:
if k not in st.session_state: st.session_state[k]=v
if clr_btn:
st.session_state.update({"results":[],"jobs":[],"job_idx":0,"running":False}); st.rerun()
# ---------- BUILD JOBS ----------
def build_jobs_text(lines:List[str])->List[Dict[str,Any]]:
return [{
"prompt":p, "negative":negative_prompt, "aspect":aspect,
"resolution":want_resolution, "person":person_generation,
"mode":"text", "image":None, "audio":audio_on
} for p in lines]
def build_jobs_image(lines:List[str], infos:List[Tuple[str,str,str]])->List[Dict[str,Any]]:
n=min(len(lines),len(infos)); jobs=[]
for i in range(n):
b64,mime,_=infos[i]
jobs.append({
"prompt":lines[i], "negative":negative_prompt, "aspect":aspect,
"resolution":want_resolution, "person":person_generation,
"mode":"image", "image":{"b64":b64,"mime":mime}, "audio":audio_on
})
return jobs
# ---------- RUN ----------
if run_btn:
if not api_key:
st.error("Masukkan Google API Key.")
else:
items=None
if json_mode:
try: items = parse_prompt_json(prompt_raw_val)
except Exception as e: st.error(f"JSON salah: {e}")
jobs=[]
if items is None:
lines=[p.strip() for p in (prompt_raw_val or "").splitlines() if p.strip()]
if not lines:
st.error("Masukkan minimal satu prompt.")
else:
if mode_ui=="Text → Video":
jobs = build_jobs_text(lines)
else:
if not images_info:
st.error("Mode Image → Video butuh gambar.")
else:
st.caption("Pairing prompt ↔ gambar:")
for i in range(min(len(lines),len(images_info))):
st.write(f"- Prompt {i+1} ↔ {images_info[i][2]}")
jobs = build_jobs_image(lines, images_info)
else:
for it in items:
jmode=(it.get("mode") or ("image" if it.get("image") else "text")).lower()
b64=None; mime=None
if jmode=="image":
img=it.get("image")
if isinstance(img,dict) and img.get("b64"):
b64=img["b64"]; mime=img.get("mime","image/png")
elif isinstance(img,str) and img.startswith(("http://","https://")):
try:
r=SESSION.get(img,timeout=DL_TIMEOUT); r.raise_for_status()
b64=base64.b64encode(r.content).decode()
mime=r.headers.get("Content-Type","image/png")
except Exception as e:
st.error(f"Galat ambil image URL: {e}")
elif isinstance(img,str) and img.startswith("data:image/"):
try:
header,data=img.split(",",1); mime=header[5:header.find(";")]; b64=data
except Exception: b64=None
jobs.append({
"prompt": it.get("prompt",""),
"negative": it.get("negative_prompt", NEG_DEF),
"aspect": it.get("aspect_ratio", aspect),
"resolution": it.get("resolution", want_resolution),
"person": it.get("person_generation","auto"),
"mode": jmode,
"image": ({"b64":b64,"mime":mime} if (jmode=="image" and b64) else None),
"audio": bool(it.get("audio", True))
})
expanded=[]
for j in jobs:
for _ in range(int(num_results)): expanded.append(j.copy())
if expanded:
st.session_state.update({
"results":[], "jobs":expanded, "job_idx":0, "running":True, "api_key_val": api_key
}); st.rerun()
# ---------- SHOW RESULTS ----------
if st.session_state["results"]:
st.markdown("## Hasil Selesai")
for i,item in enumerate(st.session_state["results"],1):
st.markdown(
f'<div class="card"><div style="display:flex;justify-content:space-between;align-items:center;">'
f'<h3 style="margin:0">🎬 Video Pair {i}</h3>'
f'<span class="badge">{item["meta"]["mode"]} • {item["meta"]["aspect_ratio"]} • {item["meta"]["resolution"]}</span>'
f'</div></div>', unsafe_allow_html=True
)
st.video(item["path"])
with open(item["path"],"rb") as fh:
st.download_button(f"⬇️ Download Video (hasil {i})", fh, file_name=os.path.basename(item["path"]), use_container_width=True, key=f"dl-persist-{i}")
# ---------- WORK LOOP ----------
if st.session_state["running"]:
jobs=st.session_state["jobs"]; idx=st.session_state["job_idx"]
if idx>=len(jobs):
st.session_state["running"]=False; st.success("Semua job selesai ✅")
else:
j=jobs[idx]
st.markdown(f"### Memproses job {idx+1}/{len(jobs)}")
box=st.container()
res = generate_one_with_ui(
api_key=st.session_state["api_key_val"],
model_ui=model_ui, mode=j["mode"], prompt=j["prompt"],
negative_prompt=j["negative"], aspect=j["aspect"],
want_resolution=j["resolution"], person_generation=j["person"],
img_b64=(j["image"]["b64"] if j.get("image") else None),
img_mime=(j["image"]["mime"] if j.get("image") else None),
enable_audio=j["audio"], ui_box=box, tz_name=tz_name,
)
if isinstance(res, dict) and "path" in res:
st.session_state["results"].append({
"path": res["path"],
"meta": {"mode": j["mode"], "aspect_ratio": j["aspect"], "resolution": res["meta"]["resolution"]}
})
st.session_state["job_idx"]=idx+1; st.rerun()
# ---------- FLOATING DONATE ----------
st.markdown("""
<div id="donate-wrap">
<a class="donate-btn donate-saweria" href="https://saweria.co/saltudio" target="_blank" rel="noopener noreferrer">
💖 Dukung via Saweria
</a>
<a class="donate-btn donate-kofi" href="https://ko-fi.com/saltudio" target="_blank" rel="noopener noreferrer">
☕ Buy me a Ko-fi
</a>
</div>
""", unsafe_allow_html=True)
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