5d5bc7dcfb
Compute is componentized: 11 parody GPU cards (Ex-Mining P106, GFX 1060 Dumpster, Radish VII Furnace, RTX 4090 Gigachonk, H100 'The Vault', B200 BigChungus...) install into carrier slots — Budget PC takes one, the milk-crate rig four, the half rack eight with rack-only datacenter cards. Cards carry tok/watts/VRAM/heat individually; total cluster VRAM must hold the running model version or all token output starves. Storage devices (SSD shoebox / NVMe hoard / NAS tower) gate training: no checkpoint space, no progress. Network grows a switch layer with per-switch throughput caps between devices and uplinks. Shop grouped by category. Old saves migrate with equivalent card loadouts. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
43 lines
2.0 KiB
Python
43 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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("dumb_switch", "a small cheap plastic 5-port ethernet switch with green blinking LEDs and a few patch cables"),
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("managed_switch", "a professional 1U rackmount managed network switch with many ports and orange status LEDs"),
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("ssd_shoebox", "an old shoebox overflowing with loose SATA SSDs and tangled cables"),
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("nvme_hoard", "a small stack of NVMe M.2 drives in an open anti-static tray next to a drive dock"),
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("nas_tower", "a black tower NAS storage server with six visible drive bays, one bay open"),
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("gpu_budget", "a single old dusty budget graphics card with one small fan, product photo style"),
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("gpu_gaming", "a chunky three-fan RGB gaming graphics card, product photo style"),
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("gpu_workstation", "a sleek blower-style professional workstation graphics card, product photo style"),
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("gpu_datacenter", "a gold-and-black datacenter AI accelerator card with no fans and huge heatsink, product photo style"),
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]
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gen = ROOT / "public/assets/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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