Files
roux/scripts/faceswap-images.py
T
valknarandClaude Sonnet 5 2dc7a0063f Add issue No. 02 "Obsession" + reusable image pipeline
Content
- 100 new plates under content/posts/02/ — one recurring red-haired model
  across 10 editorial registers (Haute Couture, Film Noir, Boudoir,
  Avant-Garde, Minimalism, Baroque, Street Style, Surrealism, Monochrome,
  Nocturne), generated with flux-1.1-pro, face-swapped to a consistent
  identity (FaceFusion), and upscaled (Upscayl + Remacri, 3328x4992).
- content/issues/02/_index.md; issue 01 -> status archived; hugo.toml params
  (issueIds newest-first, issueNumber/Name/Season/Blurb).

Structure
- Plate bundles grouped by issue: content/posts/<issue>/<slug>/, with
  build.render:never stubs so /posts/<issue>/ isn't emitted. nginx 301s the
  legacy flat /posts/<slug>/ URLs to /posts/01/<slug>/. The /posts/ archive
  uses .RegularPagesRecursive.

Image pipeline (scripts/, data/ gitignored)
- generate-images.py  — Replicate flux-1.1-pro, 960x1440, idempotent.
- faceswap-images.py  — FaceFusion batch-run, one consistent face.
- upscale-images.py   — Upscayl + remacri-4x, long edge clamped to 4992.
- build-issue.py      — prompts JSON -> content/posts/<issue>/*/index.md.

Build
- CSS now compiled by Hugo's css.TailwindCSS (partials/css.html +
  templates.Defer); dropped the standalone Tailwind CLI step, concurrently,
  and the gitignored static/css/main.css. Requires Hugo >= 0.161; Dockerfile
  collapsed to a single hugomods/hugo:debian-node build stage.
  pnpm-workspace.yaml: preferSymlinkedExecutables + allowBuilds.

Front end
- Pagination 8 per page.
- Lightbox: brand mark and category link out; robust SPA back/forward
  (fetch before startViewTransition, single-flight guard, swallow the
  transition abort rejection, popstate re-renders / reopens the viewer).

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01DZPmxGywFnAhmYJB1eh9fm
2026-08-29 21:11:24 +02:00

192 lines
7.4 KiB
Python
Executable File

#!/usr/bin/env python3
"""
Face-swap issue plate images with FaceFusion (~/Projekte/facefusion).
python3 scripts/faceswap-images.py --issue 02 --source ~/Bilder/palina.webp
Runs FaceFusion `batch-run` once (models load a single time) over every
content/posts/<issue>/<slug>/<slug>.png, swapping in the face from --source, and
writes the results back in place (the .png sources are tracked in git, so that is
the backup). Pass --out DIR to write to a staging tree instead.
Idempotent: a slug already recorded in data/prompts/issue-<issue>.faceswap.json
for the same source image is skipped unless --force.
FaceFusion is invoked through its own virtualenv
(~/Projekte/facefusion/.venv/bin/python); this script itself needs only stdlib.
"""
import argparse
import hashlib
import json
import shutil
import subprocess
import sys
import tempfile
import time
from pathlib import Path
SITE = Path(__file__).resolve().parent.parent
FF_DIR = Path.home() / "Projekte" / "facefusion"
FF_PY = FF_DIR / ".venv" / "bin" / "python"
FF_ENTRY = FF_DIR / "facefusion.py"
def sha256(path: Path) -> str:
h = hashlib.sha256()
with path.open("rb") as f:
for chunk in iter(lambda: f.read(1 << 20), b""):
h.update(chunk)
return h.hexdigest()
def load_manifest(path: Path) -> dict:
if path.is_file():
try:
return {r["slug"]: r for r in json.loads(path.read_text(encoding="utf-8"))}
except (json.JSONDecodeError, KeyError, TypeError):
pass
return {}
def main() -> int:
ap = argparse.ArgumentParser(description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter)
ap.add_argument("--issue", required=True)
ap.add_argument("--source", type=Path, default=Path.home() / "Bilder" / "palina.webp",
help="face to swap in (default: ~/Bilder/palina.webp)")
ap.add_argument("--out", type=Path, help="output root; default is in-place")
# Everything below is passed to FaceFusion only when explicitly set;
# otherwise FaceFusion uses its own defaults.
ap.add_argument("--model",
help="face-swapper model (blendswap_256, hyperswap_1a_256, simswap_unofficial_512, …)")
ap.add_argument("--pixel-boost",
choices=["256x256", "512x512", "768x768", "1024x1024"])
ap.add_argument("--swapper-weight")
ap.add_argument("--enhance", action="store_true",
help="also run the face_enhancer processor (sharper, slower)")
ap.add_argument("--enhancer-model")
ap.add_argument("--enhancer-blend", type=int)
ap.add_argument("--output-image-quality", type=int)
ap.add_argument("--execution-providers", nargs="+",
help="cuda / cpu / tensorrt …")
ap.add_argument("--execution-thread-count", type=int)
ap.add_argument("--only", help="comma-separated slugs")
ap.add_argument("--limit", type=int)
ap.add_argument("--force", action="store_true")
ap.add_argument("--dry-run", action="store_true")
args = ap.parse_args()
if not FF_PY.exists():
sys.exit(f"FaceFusion venv python not found: {FF_PY}")
source = args.source.expanduser()
if not source.is_file():
sys.exit(f"source face not found: {source}")
content = SITE / "content" / "posts" / args.issue
if not content.is_dir():
sys.exit(f"no such issue dir: {content}")
bundles = sorted(p for p in content.iterdir()
if p.is_dir() and (p / f"{p.name}.png").is_file())
if args.only:
want = {s.strip() for s in args.only.split(",")}
bundles = [b for b in bundles if b.name in want]
if args.limit:
bundles = bundles[: args.limit]
if not bundles:
sys.exit("no matching plate images")
src_hash = sha256(source)
manifest_path = SITE / "data" / "prompts" / f"issue-{args.issue}.faceswap.json"
done = load_manifest(manifest_path)
todo = [b for b in bundles
if args.force or done.get(b.name, {}).get("source_sha256") != src_hash]
skipped = len(bundles) - len(todo)
print(f"{len(bundles)} plates · {len(todo)} to swap · {skipped} already done "
f"(source {source.name} {src_hash[:12]})")
if not todo:
return 0
processors = ["face_swapper"] + (["face_enhancer"] if args.enhance else [])
with tempfile.TemporaryDirectory(prefix="roux-faceswap-") as td:
tin, tout, tjobs = Path(td) / "in", Path(td) / "out", Path(td) / "jobs"
tin.mkdir()
tout.mkdir()
tjobs.mkdir()
for b in todo:
shutil.copy2(b / f"{b.name}.png", tin / f"{b.name}.png")
cmd = [
str(FF_PY), str(FF_ENTRY), "batch-run",
"--jobs-path", str(tjobs),
"-s", str(source),
"-t", str(tin / "*.png"),
"-o", str(tout / "{target_name}.png"),
"--processors", *processors,
"--log-level", "info",
]
if args.model:
cmd += ["--face-swapper-model", args.model]
if args.pixel_boost:
cmd += ["--face-swapper-pixel-boost", args.pixel_boost]
if args.swapper_weight:
cmd += ["--face-swapper-weight", args.swapper_weight]
if args.enhancer_model:
cmd += ["--face-enhancer-model", args.enhancer_model]
if args.enhancer_blend is not None:
cmd += ["--face-enhancer-blend", str(args.enhancer_blend)]
if args.output_image_quality is not None:
cmd += ["--output-image-quality", str(args.output_image_quality)]
if args.execution_providers:
cmd += ["--execution-providers", *args.execution_providers]
if args.execution_thread_count is not None:
cmd += ["--execution-thread-count", str(args.execution_thread_count)]
if args.dry_run:
print(" ".join(cmd))
return 0
print(f"→ facefusion batch-run ({len(todo)} steps, processors: {'+'.join(processors)})")
rc = subprocess.run(cmd, cwd=str(FF_DIR)).returncode
if rc != 0:
sys.exit(f"facefusion exited {rc}")
out_root = args.out.expanduser() if args.out else content
ok, failed = [], []
for b in todo:
produced = tout / f"{b.name}.png"
if not produced.is_file():
failed.append(b.name)
continue
dest = out_root / b.name / f"{b.name}.png"
dest.parent.mkdir(parents=True, exist_ok=True)
shutil.move(str(produced), str(dest))
ok.append(b.name)
done[b.name] = {
"slug": b.name,
"source": str(source),
"source_sha256": src_hash,
"model": args.model or "facefusion-default",
"pixel_boost": args.pixel_boost or "facefusion-default",
"enhanced": args.enhance,
"done_at": time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime()),
}
# Only the in-place pipeline is tracked; --out is for experimentation.
if not args.out:
manifest_path.parent.mkdir(parents=True, exist_ok=True)
manifest_path.write_text(
json.dumps([done[k] for k in sorted(done)], indent=2, ensure_ascii=False) + "\n",
encoding="utf-8")
print(f"\n{len(ok)} swapped / {len(failed)} failed / {skipped} skipped")
if failed:
print("failed (no face detected?):", ", ".join(sorted(failed)))
return 1
return 0
if __name__ == "__main__":
raise SystemExit(main())