demo: icon recipe pipeline + role-aware portraits + ComfyUI negative-prompt override

Adds two single-source-of-truth recipe files that drive both the
hot-path render server and the offline pre-render scripts:

- role_scenes.ts: per-role-band scene clauses (clothing + backdrop).
  Forklift operators look like forklift operators instead of
  collapsing to interchangeable studio shots. SCENES_VERSION mixes
  into the headshot cache key so a coordinator tweak refreshes every
  matching face on next view.
- icon_recipes.ts: cert / role-prop / status / hazard / empty icons
  with deterministic per-recipe seeds + fuzzy text resolver.
  ICONS_VERSION suffix on the cached file means edits don't
  overwrite in place — misfires are recoverable.

Routes (mcp-server/index.ts):
- GET /headshots/_scenes — exposes SCENES + version to the
  pre-render script so prompts don't drift between batch and hot-path.
- GET /icons/_recipes — same idea for icons.
- GET /icons/cert?text=... — resolves free-text cert names to a
  recipe and 302s to the rendered icon. 404 (not 500) when no recipe
  matches so the front-end can hang `onerror="this.remove()"`.
- GET /icons/render/{category}/{slug} — cache-or-render at 256² (8
  steps) for crisper edges than 512² when downsampled to 14px.

ComfyUI portrait support (scripts/serve_imagegen.py):
The editorial workflow had `human, person, face` baked into its
negative prompt — actively sabotaging portraits. _comfyui_generate
now accepts negative_prompt/cfg/sampler/scheduler overrides, and
those mix into the cache key so portrait calls don't collapse into
hero-shot cache hits.

scripts/staffing/render_role_pool.py: pre-renders the role-aware
face pool by reading SCENES from /headshots/_scenes — single source
of truth verified at run time.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
root
2026-04-28 06:01:04 -05:00
co-authored by Claude Opus 4.7
parent 1745881426
commit 4b92d1da91
5 changed files with 706 additions and 39 deletions
+39 -6
View File
@@ -46,8 +46,15 @@ def _cache_put(key, img_bytes):
(CACHE_DIR / f"{key}.webp").write_bytes(img_bytes)
def _comfyui_generate(prompt, width=1024, height=512, steps=8, seed=None):
"""Submit workflow to ComfyUI and wait for result."""
def _comfyui_generate(prompt, width=1024, height=512, steps=8, seed=None,
negative_prompt=None, cfg=None, sampler=None, scheduler=None):
"""Submit workflow to ComfyUI and wait for result.
Optional overrides — when provided, replace the workflow's defaults.
The workflow template at editorial_hero.json was tuned for product
hero shots with a "no humans" negative prompt; portrait callers MUST
pass `negative_prompt` to avoid the model fighting them on faces.
"""
# Load workflow template
with open(WORKFLOW_PATH) as f:
workflow = json.load(f)
@@ -57,9 +64,21 @@ def _comfyui_generate(prompt, width=1024, height=512, steps=8, seed=None):
seed = random.randint(0, 2**32)
workflow["3"]["inputs"]["seed"] = seed
workflow["3"]["inputs"]["steps"] = steps
if cfg is not None:
workflow["3"]["inputs"]["cfg"] = cfg
if sampler:
workflow["3"]["inputs"]["sampler_name"] = sampler
if scheduler:
workflow["3"]["inputs"]["scheduler"] = scheduler
workflow["5"]["inputs"]["width"] = width
workflow["5"]["inputs"]["height"] = height
workflow["6"]["inputs"]["text"] = prompt
# Node 7 is the negative-prompt CLIPTextEncode. The default is tuned
# for product hero shots and contains "human, person, face, hand,
# fingers, realistic photo of people" — actively sabotaging any
# portrait render. Always overwrite when negative_prompt is given.
if negative_prompt is not None:
workflow["7"]["inputs"]["text"] = negative_prompt
# Submit to ComfyUI
payload = json.dumps({"prompt": workflow}).encode()
@@ -183,10 +202,20 @@ class ImageHandler(BaseHTTPRequestHandler):
height = min(max(int(body.get("height", 720)), 256), 1080)
steps = min(max(int(body.get("steps", 50)), 1), 80)
seed = body.get("seed")
# Portrait-friendly overrides — None means "use workflow default".
# negative_prompt MUST be passed by portrait callers to avoid
# the workflow's "no humans" baked-in negative.
negative_prompt = body.get("negative_prompt")
cfg = body.get("cfg")
sampler = body.get("sampler")
scheduler = body.get("scheduler")
# Cache check — seed is part of the key so per-worker requests
# don't collapse to a single cached portrait.
key = _cache_key(prompt, width, height, steps, seed)
# Cache check — seed + negative + cfg are part of the key so per-
# worker / per-config requests don't collapse to one cached image.
key = _cache_key(
f"{prompt}||neg={negative_prompt or ''}||cfg={cfg or ''}",
width, height, steps, seed,
)
cached = _cache_get(key)
if cached:
self._json(200, {"image": cached, "format": "webp", "width": width, "height": height,
@@ -199,7 +228,11 @@ class ImageHandler(BaseHTTPRequestHandler):
try:
comfy_check = urllib.request.urlopen(f"{COMFYUI_URL}/system_stats", timeout=3)
if comfy_check.status == 200:
img_bytes, seed = _comfyui_generate(prompt, width, height, steps, seed)
img_bytes, seed = _comfyui_generate(
prompt, width, height, steps, seed,
negative_prompt=negative_prompt, cfg=cfg,
sampler=sampler, scheduler=scheduler,
)
backend = "comfyui"
except:
pass
+230
View File
@@ -0,0 +1,230 @@
#!/usr/bin/env python3
"""
render_role_pool.py — pre-render a role-aware face pool by hitting
serve_imagegen.py (localhost:3600/generate) with prompts pulled from
the bun server's /headshots/_scenes endpoint (single source of truth
for SCENES + SCENES_VERSION).
Layout:
data/headshots_role_pool/
{band}/
{gender}_{race}/
face_00.webp
face_01.webp
...
manifest.jsonl
Each entry in manifest.jsonl:
{"band": "warehouse", "gender": "man", "race": "caucasian",
"file": "warehouse/man_caucasian/face_03.webp",
"seed": 184729338, "scenes_version": "v1"}
Idempotent: a file at the target path is skipped. Re-run with --force
to regenerate. SCENES_VERSION is captured per render so the server's
pool route can refuse stale renders if the version drifts.
"""
from __future__ import annotations
import argparse
import base64
import json
import os
import sys
import time
import urllib.request
import urllib.error
DEFAULT_BANDS = ["warehouse", "production", "trades", "driver", "lead"]
DEFAULT_GENDERS = ["man", "woman"]
DEFAULT_RACES = ["caucasian", "east_asian", "south_asian", "middle_eastern", "black", "hispanic"]
def race_text(r: str) -> str:
return {
"caucasian": "",
"east_asian": "East Asian",
"south_asian": "South Asian",
"middle_eastern": "Middle Eastern",
"black": "Black",
"hispanic": "Hispanic",
}.get(r, "")
def fetch_scenes(mcp_url: str) -> tuple[str, dict]:
"""Pull canonical SCENES from the bun server. Single source of truth."""
req = urllib.request.Request(f"{mcp_url}/headshots/_scenes")
with urllib.request.urlopen(req, timeout=10) as resp:
data = json.loads(resp.read())
return data["version"], data["scenes"]
def render(comfy_url: str, prompt: str, seed: int, steps: int, timeout: int, dim: int) -> bytes | None:
payload = json.dumps({
"prompt": prompt,
"width": dim,
"height": dim,
"steps": steps,
"seed": seed,
}).encode()
req = urllib.request.Request(
f"{comfy_url}/generate",
data=payload,
headers={"Content-Type": "application/json"},
)
try:
with urllib.request.urlopen(req, timeout=timeout) as resp:
data = json.loads(resp.read())
except urllib.error.HTTPError as e:
print(f" HTTP {e.code} from comfy: {e.read()[:200]}", file=sys.stderr)
return None
except Exception as e:
print(f" comfy error: {type(e).__name__}: {e}", file=sys.stderr)
return None
img_b64 = data.get("image")
if not img_b64:
print(f" comfy response missing 'image' field: {list(data.keys())}", file=sys.stderr)
return None
return base64.b64decode(img_b64)
def main():
p = argparse.ArgumentParser()
p.add_argument("--out", default=os.path.join(os.path.dirname(__file__), "..", "..", "data", "headshots_role_pool"))
p.add_argument("--per-bucket", type=int, default=10, help="how many faces per (band × gender × race)")
p.add_argument("--mcp", default="http://localhost:3700")
p.add_argument("--comfy", default="http://localhost:3600")
p.add_argument("--steps", type=int, default=8)
p.add_argument("--bands", nargs="*", default=DEFAULT_BANDS)
p.add_argument("--genders", nargs="*", default=DEFAULT_GENDERS)
p.add_argument("--races", nargs="*", default=DEFAULT_RACES)
p.add_argument("--force", action="store_true", help="regenerate existing files")
p.add_argument("--age", type=int, default=32)
p.add_argument("--timeout", type=int, default=120, help="per-render timeout (1024² takes ~5s on A4000)")
p.add_argument("--dim", type=int, default=1024, help="square render dimension (v2 default 1024, v1 was 512)")
args = p.parse_args()
out_root = os.path.realpath(args.out)
os.makedirs(out_root, exist_ok=True)
print(f"Fetching canonical SCENES from {args.mcp}/headshots/_scenes…")
try:
version, scenes = fetch_scenes(args.mcp)
except Exception as e:
print(f"FATAL: could not fetch scenes ({e}). Is the mcp-server up?", file=sys.stderr)
sys.exit(1)
print(f" SCENES_VERSION={version}, {len(scenes)} bands available: {list(scenes.keys())}")
# v2+ files live at {out}/{version}/{band}/{g}_{r}/face_NN.webp.
# v1 lived at {out}/{band}/... — keep that layout intact for
# rollback; the server route reads both and prefers current.
out = out_root if version == "v1" else os.path.join(out_root, version)
os.makedirs(out, exist_ok=True)
print(f" writing to: {out}")
print(f" render dim: {args.dim}×{args.dim}")
# Reject any --bands not in the server's SCENES
unknown = [b for b in args.bands if b not in scenes]
if unknown:
print(f"FATAL: unknown bands {unknown}. Server has: {list(scenes.keys())}", file=sys.stderr)
sys.exit(1)
manifest_rows = []
todo = [
(band, g, r, n)
for band in args.bands
for g in args.genders
for r in args.races
for n in range(args.per_bucket)
]
print(f"\nPlanning: {len(todo)} renders ({len(args.bands)} bands × {len(args.genders)} genders × {len(args.races)} races × {args.per_bucket} faces).")
print(f"Estimated GPU time at 1.5s/render = {len(todo) * 1.5 / 60:.1f} min.\n")
t0 = time.time()
rendered = 0
skipped = 0
failed = 0
for i, (band, g, r, n) in enumerate(todo):
bucket_dir = os.path.join(out, band, f"{g}_{r}")
os.makedirs(bucket_dir, exist_ok=True)
fname = f"face_{n:02d}.webp"
full = os.path.join(bucket_dir, fname)
rel = os.path.relpath(full, out)
if os.path.exists(full) and os.path.getsize(full) > 1024 and not args.force:
skipped += 1
manifest_rows.append({
"band": band, "gender": g, "race": r, "file": rel,
"seed": None, "scenes_version": version, "cached": True,
})
continue
scene_def = scenes[band]
scene_clause = scene_def["scene"]
race_clause = race_text(r)
gender_clause = g # "man" / "woman"
# Match the bun server's prompt builder exactly. If you tweak
# one, tweak the other (or factor a /prompt-builder endpoint).
# The {role} slot is intentionally a band-typical title here
# — the pre-rendered face is shared across roles in the same
# band, so we use the band's archetypal role. Specific roles
# still hit the on-demand /headshots/generate/:key path with
# their actual title.
archetype_role = {
"warehouse": "warehouse worker",
"production": "production worker",
"trades": "skilled tradesperson",
"driver": "delivery driver",
"lead": "shift supervisor",
}.get(band, "warehouse worker")
prompt = (
f"professional headshot portrait of a {args.age}-year-old "
f"{race_clause} {gender_clause} {archetype_role}, {scene_clause}, "
f"neutral confident expression, sharp focus, photorealistic"
)
# Deterministic seed per slot — same (band, g, r, n) always
# gets the same face. Mixing scenes_version means a SCENES
# tweak shifts every face slightly; that's the right behavior
# (it's how cache invalidation propagates to the pool too).
seed_str = f"{band}|{g}|{r}|{n}|{version}"
seed_h = 5381
for ch in seed_str:
seed_h = ((seed_h << 5) + seed_h + ord(ch)) & 0x7fffffff
seed = seed_h
bytes_ = render(args.comfy, prompt, seed, args.steps, args.timeout, args.dim)
if bytes_ is None:
failed += 1
continue
with open(full, "wb") as f:
f.write(bytes_)
rendered += 1
manifest_rows.append({
"band": band, "gender": g, "race": r, "file": rel,
"seed": seed, "scenes_version": version, "cached": False,
})
if (i + 1) % 10 == 0 or (i + 1) == len(todo):
elapsed = time.time() - t0
done = i + 1
rate = done / elapsed if elapsed > 0 else 0
eta = (len(todo) - done) / rate if rate > 0 else 0
print(f" [{done}/{len(todo)}] rendered={rendered} skipped={skipped} failed={failed} "
f"rate={rate:.2f}/s eta={eta:.0f}s")
# Atomic manifest write
manifest_path = os.path.join(out, "manifest.jsonl")
tmp = manifest_path + ".tmp"
with open(tmp, "w") as f:
for row in manifest_rows:
f.write(json.dumps(row) + "\n")
os.replace(tmp, manifest_path)
print(f"\nDone. {rendered} new, {skipped} cached, {failed} failed in {time.time()-t0:.1f}s")
print(f"Manifest: {manifest_path} ({len(manifest_rows)} entries)")
print(f"\nNext: poke {args.mcp}/headshots/__reload to pick up the new pool.")
if __name__ == "__main__":
main()