| """Fresh art for stale project pages — Oracle, Lyra Technique, Garuda, Agni, Meridian. |
| |
| Matching site aesthetic: navy/gold, no human faces on product pages, |
| abstract/architectural, the feel of the tool working. |
| """ |
| import torch, os, gc, time |
| os.environ["TOKENIZERS_PARALLELISM"] = "false" |
| from diffusers import FluxPipeline |
|
|
| OUTPUT = "/Users/margaret/models/vera-triple-stack/project_art_refresh" |
| os.makedirs(OUTPUT, exist_ok=True) |
|
|
| pipe = FluxPipeline.from_pretrained( |
| "black-forest-labs/FLUX.1-dev", |
| torch_dtype=torch.bfloat16, |
| safety_checker=None, requires_safety_checker=False, |
| ) |
| pipe.to("mps") |
|
|
| PROJECTS = { |
| "oracle": ( |
| "A vast circular diagnostic instrument made of dark navy metal and gold, " |
| "suspended in space. Concentric rings rotate independently — each ring inscribed " |
| "with geometric patterns that glow amber when active. At the center, a lens focuses " |
| "golden light onto a stream of flowing data rendered as a luminous ribbon. " |
| "The instrument is reading something, measuring, diagnosing — you can feel it working. " |
| "No figures, no text. Deep navy background with warm gold accents. " |
| "The aesthetic of a precision measurement device that sees what the output hides." |
| ), |
| "lyra_technique": ( |
| "A cross-section of layered geometric space — imagine slicing through a transformer's " |
| "internal representation and seeing the structure. Parallel planes of dark navy, each with " |
| "different gold patterns: one shows spectral ridges (sharp peaks), another shows flat entropy " |
| "(smooth), another shows branching pathways. The planes are slightly transparent, stacked, " |
| "with golden threads connecting corresponding points between layers. " |
| "The feel of looking inside a mind and seeing geometry where thoughts should be. " |
| "Abstract, architectural, precise. Navy and gold only." |
| ), |
| "garuda": ( |
| "A golden eagle rendered in geometric, architectural style — not naturalistic but structural. " |
| "Wings spread wide, each feather is a sharp angular plate of burnished gold against deep navy. " |
| "The eagle's eye is a lens, scanning. Below it, faint red threads represent intercepted threats — " |
| "thin, fragile against the eagle's mass. The eagle doesn't chase the threats; it watches, " |
| "assesses, decides. Heraldic but modern. The feel of a sentinel that devours serpents. " |
| "No text. Navy background, gold and amber eagle, red threat indicators." |
| ), |
| "agni": ( |
| "A crucible of dark navy ceramic filled with molten gold — but the gold is being tested. " |
| "Seven geometric probes descend into the liquid, each glowing a different shade of amber " |
| "depending on what they find. Some glow bright (passing), some glow dim (failing). " |
| "The crucible has fine cracks filled with cooled gold (kintsugi). Around it, faint traces " |
| "of rejected material — things that didn't survive the fire. " |
| "The feel of purification through rigorous testing. " |
| "Abstract, no figures, no text. Navy ceramic, molten gold, amber probes." |
| ), |
| "meridian": ( |
| "A compass rose made of intersecting golden arcs on a dark navy field, " |
| "but the arcs are alive — papers, documents, data streams flowing along the curves " |
| "toward a central nexus point where they converge and transform into structured knowledge. " |
| "The streams come from all directions. Some are bright (relevant), some dim (filtered out). " |
| "At the center, a small dense cluster of interconnected golden nodes — the knowledge graph " |
| "being built in real time. The feel of a swarm that never sleeps, finding what matters. " |
| "No figures, no text. Navy background, gold arcs and streams." |
| ), |
| } |
|
|
| for name, prompt in PROJECTS.items(): |
| for seed in [137, 2026]: |
| print(f" {name} s{seed}...", flush=True) |
| t0 = time.time() |
| img = pipe( |
| prompt=prompt, num_inference_steps=30, guidance_scale=3.5, |
| height=1024, width=1024, |
| generator=torch.Generator("cpu").manual_seed(seed), |
| ).images[0] |
| img.save(os.path.join(OUTPUT, f"{name}_s{seed}.png")) |
| print(f" saved ({time.time()-t0:.0f}s)") |
| gc.collect(); torch.mps.empty_cache() |
|
|
| print(f"\nDone. {OUTPUT}") |
|
|
