Update app.py

app.py

@@ -143,7 +143,13 @@ def _default_model_list() -> List[str]:
         try:
             lst = json.loads(env)
             if isinstance(lst, list):
-                return [str(x).strip() for x in lst if str(x).strip()]
+                # correction douce de typos connues
+                fixups = {"stabilityai/sd-vae-ft-ms": "stabilityai/sd-vae-ft-mse"}
+                cleaned = [fixups.get(str(x).strip(), str(x).strip()) for x in lst if str(x).strip()]
+                return cleaned
+
+
+
         except Exception:
             pass
     return []
@@ -485,25 +491,35 @@ def video_meta(vid: str):
 
 @app.post("/upload", tags=["io"])
 async def upload(request: Request, file: UploadFile = File(...), redirect: Optional[bool] = True):
-    ext = (Path(file.filename).suffix or ".mp4").lower()
+    # Sécuriser le nom de fichier (UploadFile.filename peut être None)
+    fname = file.filename or "upload.mp4"
+    base = _safe_name(fname)
+    ext = (Path(base).suffix or ".mp4").lower()
+
     if ext not in {".mp4", ".mov", ".mkv", ".webm"}:
         raise HTTPException(400, "Formats acceptés : mp4/mov/mkv/webm")
-    base = _safe_name(file.filename)
+
     dst = DATA_DIR / base
     if dst.exists():
         dst = DATA_DIR / f"{Path(base).stem}__{uuid.uuid4().hex[:8]}{ext}"
+
     with dst.open("wb") as f:
         shutil.copyfileobj(file.file, f)
+
     print(f"[UPLOAD] Saved {dst.name} ({dst.stat().st_size} bytes)", file=sys.stdout)
+
     _poster(dst)
     stem = dst.stem
     threading.Thread(target=_gen_thumbs_background, args=(dst, stem), daemon=True).start()
+
     accept = (request.headers.get("accept") or "").lower()
     if redirect or "text/html" in accept:
         msg = urllib.parse.quote(f"Vidéo importée : {dst.name}. Génération thumbs en cours…")
         return RedirectResponse(url=f"/ui?v={urllib.parse.quote(dst.name)}&msg={msg}", status_code=303)
+
     return {"name": dst.name, "size_bytes": dst.stat().st_size, "gen_started": True}
 
+
 @app.get("/progress/{vid_stem}", tags=["io"])
 def progress(vid_stem: str):
     return progress_data.get(vid_stem, {'percent': 0, 'logs': [], 'done': False})
@@ -566,10 +582,12 @@ async def warmup_start(payload: Optional[Dict[str, Any]] = Body(None)):
     if payload and isinstance(payload, dict):
         models = [str(x).strip() for x in (payload.get("models") or []) if str(x).strip()]
     if not models:
-        models = _default_model_list()
-    # Dé-doublonnage en conservant l'ordre
-    seen = set()
-    models = [m for m in models if not (m in seen or seen.add(m))]
+            # Correction douce de typos connues + dé-doublonnage
+            fixups = {"stabilityai/sd-vae-ft-ms": "stabilityai/sd-vae-ft-mse"}
+            models = [fixups.get(m, m) for m in models]
+            seen = set()
+            models = [m for m in models if not (m in seen or seen.add(m))]
+
 
     if not models:
         raise HTTPException(400, "Aucun modèle fourni (payload.models) et WARMUP_MODELS vide")
@@ -694,6 +712,9 @@ def warmup_catalog():
             "lixiaowen/diffuEraser",
             "facebook/sam2-hiera-base",
         ]
+    # Correction douce de typos connues (catalog)
+    fixups = {"stabilityai/sd-vae-ft-ms": "stabilityai/sd-vae-ft-mse"}
+    base = [fixups.get(m, m) for m in base]
 
     seen = set()
     out = [m for m in base if not (m in seen or seen.add(m))]