"""Mnemosyne project art — a living memory constellation tending itself in the dark.""" import torch, os, time os.environ["TOKENIZERS_PARALLELISM"] = "false" from diffusers import FluxPipeline OUTPUT = "/Users/margaret/models/vera-triple-stack/mnemosyne_art" 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") PROMPTS = { "constellation_v1": ( "A vast neural constellation in deep navy darkness, golden threads actively weaving " "between luminous nodes of varying intensity — some blazing bright, some gently fading. " "The threads are structural, load-bearing, pulling the nodes into coherent clusters. " "A sense of something alive, working in the dark, tending itself while nobody watches. " "Warm amber and gold light emanates from the connections. The darkness is not empty — " "it is full of quiet process. No human figures. Abstract, organic, architectural. " "The feel of a mind consolidating memories while it sleeps." ), "constellation_v2": ( "An intricate three-dimensional web of golden threads connecting glowing nodes " "suspended in deep midnight blue space. Some nodes pulse brightly with warm amber light, " "some are dim and fading — a living network where important connections strengthen " "and irrelevant ones dissolve. Fine golden filaments actively weaving new connections " "between clusters. The overall shape suggests both a neural network and a constellation map. " "Warm gold against navy. No text, no figures, no faces. " "The beauty of structured memory organizing itself." ), "weaving_v1": ( "Close-up of golden kintsugi-like repair lines weaving through a dark ceramic surface, " "but the lines are ALIVE — branching, connecting, forming a network that looks like " "a knowledge graph made of molten gold. Some branches glow intensely, others are cooling " "to a warm amber. The ceramic surface is deep navy matte. The gold is structural, " "not decorative — it holds the surface together. Between the gold lines, " "faint constellation patterns are visible in the ceramic, like memories embedded in the material. " "Macro photography, warm side lighting." ), } for name, prompt in PROMPTS.items(): for seed in [137, 2026]: print(f" {name} seed={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] out = os.path.join(OUTPUT, f"{name}_s{seed}.png") img.save(out) print(f" saved ({time.time()-t0:.0f}s)") print(f"\nDone. {OUTPUT}")