{ "model_type": "agate", "arch": "fcdm_t2", "model_kw": { "widths": [ 288, 832, 1664 ], "depths": [ 4, 6, 2 ], "steer_rank": [ 128, 256, 256 ], "ctx_dim": 512, "dim": 640, "prelude": 3, "core": 3, "coda": 2, "loops": 4, "loop_probs": [ 0.0, 0.0, 0.0, 1.0 ] }, "params_generator": 190929092, "text_encoder": "text_encoder", "text_max_len": 512, "guide": { "generator": "guide/generator.safetensors", "text_encoder": "guide/text_encoder", "text_max_len": 128, "step": 27600 }, "vae": "stabilityai/sd-vae-ft-mse", "vae_scale": 0.18215, "fast_vae": "madebyollin/taesd", "resolution": 256, "latent_hw": 32, "sampler": { "kind": "euler", "steps": 50, "cfg": 3.0, "t0_is_noise": true, "uncond_prompt": "" }, "training": { "step": 138010, "samples_seen": 186634240, "continued_from": "T40r caption phase, step 82,800 (the run that became Agate Preview 001)", "gpu_hours_gh200_lineage": 187.7, "energy_kwh_at_wall_lineage": 107.1, "co2e_kg_lineage": 3.21, "dataset": "LucasFang/FLUX-Reason-6M", "lineage_note": "whole lineage from scratch, jobs pro-rated by steps where this release branched mid-run (perun ledger, PUE 1.3, 30 g/kWh)" }, "training_compute_flop": { "estimate": 6.5e+19, "range": [ 5.8e+19, 7.2e+19 ], "including_text_encoder_pretraining": 8.6e+20, "method": "measured forward FLOPs per image (torch.utils.flop_counter, batch 1, 128-token context) x images seen x 3 (forward + backward); Ettin at 128 tokens (low) to 4x (high); excludes the compute used by third parties to generate the synthetic training images", "forward_gflop_per_image": { "256": 94.4 } }, "output_marking": { "watermark": "invisible-watermark dwtDctSvd", "payload": "AGATE002", "metadata_keys": [ "ai_generated", "generator", "model", "watermark" ], "default": "on", "detect": "agate.detect_watermark(img)" } }