0309f578a1
The move ladder continues: garage -> 20x20 warehouse with 8kW three-phase. Immersion tank answers the fire era — eight rack-class slots under mineral oil, 85% heat reduction, cannot ignite (verified: 8x H100 flat-out at 82C, zero fires). CRAC unit and AIO liquid loop fill out the cooling ladder. New recurring revenue: SaaS subscribers funnel in from live view rates and churn on latency (serving consumes inference tokens before the video pipeline — overselling your compute bleeds customers), on model collapse, and on outages (breaker trips instantly cost 15% of subscribers). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
45 lines
2.0 KiB
Python
45 lines
2.0 KiB
Python
#!/usr/bin/env python3
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"""One-off: generate additional sprites without re-running the whole batch.
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Usage: python3 tools/mb_add.py (edit NEW below per run)"""
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import json, pathlib, sys
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sys.path.insert(0, str(pathlib.Path(__file__).parent))
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from mb_gen import ROOT, STYLE, flux_spec, run_batch, upload, beat
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NEW = [
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("immersion_tank", "an open-top industrial immersion cooling tank filled with glowing clear mineral oil, server boards submerged inside, tubes and a small pump, sci-fi green glow"),
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("crac_unit", "a tall white industrial precision air conditioning unit for server rooms, floor standing, vent grilles, small status screen"),
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]
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ROOMS = [
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("warehouse", "empty isometric industrial warehouse interior for a video game, 2:1 isometric projection, "
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"two visible corrugated metal walls meeting at back corner, huge bare concrete floor with subtle "
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"square grid lines, steel roof trusses hinted at top, high windows, sodium work lights, night time, "
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"moody blue-purple lighting with cyan accents, no shelving, no vehicles, no people, no text, "
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"clean detailed painterly game art", 1024, 768),
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]
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gen = ROOT / "public/assets/gen"
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run_batch([flux_spec(n, d, w, h) for n, d, w, h in ROOMS], gen)
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raw = run_batch([flux_spec(n, STYLE + d, 768, 768) for n, d in NEW], gen)
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beat("bg removal for new sprites")
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cuts = run_batch(
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[(f"{n}_cut", "bg_remove_local", upload(gen / f"{n}.png"),
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{"resolution": 1024, "background": "transparent"}) for n, _ in NEW], gen)
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# autocrop like the main pipeline
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from PIL import Image
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for n, _ in NEW:
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p = gen / f"{n}_cut.png"
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im = Image.open(p).convert("RGBA")
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bbox = im.split()[-1].getbbox()
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if bbox:
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l, t, r, b = bbox
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im.crop((max(0, l - 8), max(0, t - 8), min(im.width, r + 8), min(im.height, b + 8))).save(p)
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mpath = ROOT / "tools/mb_manifest.json"
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m = json.loads(mpath.read_text())
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m.update(raw); m.update(cuts)
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mpath.write_text(json.dumps(m, indent=2))
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beat(f"added {list(raw)} + cuts")
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