agate-preview-003 / config.json
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Agate Preview 003: weights, pipeline, model card, figures
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{
"model_type": "agate",
"arch": "fcdm_t2mr",
"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
],
"read_ch": 96,
"outer_width": 192,
"outer_depth": [
2,
2
],
"up_rank": 32,
"outer_mode": "flat",
"hp_prior": true,
"coord_res": true
},
"params_generator": 194270952,
"params_generator_active": 192148612,
"text_encoder": "text_encoder",
"text_max_len": 512,
"prompt_pipeline": {
"normalize": true,
"spell": true,
"negatives_from_prompt": true,
"count_code": true,
"spell_separator": " || spell: "
},
"vae": "stabilityai/sd-vae-ft-mse",
"vae_scale": 0.18215,
"fast_vae": "madebyollin/taesd",
"resolution": 512,
"resolutions": {
"512": {
"latent_hw": 64,
"shift": 2.0
},
"256": {
"latent_hw": 32,
"shift": 1.0
}
},
"sampler": {
"kind": "euler",
"steps": 50,
"cfg": 3.0,
"t0_is_noise": true,
"uncond_prompt": "",
"timestep_shift": "SD3 shift_t, 2.0 at 512 px, 1.0 at 256 px"
},
"training": {
"step": 7400,
"samples_seen": 196597760,
"lineage": [
"T40r / cap2 continuation, step 121,440 (pre-anneal, 256 px)",
"mr512_long1: 12,000 steps, batch 512, 256+512 px (75% 512), T40r weights at 0.5x lr",
"mr512_long2: 5,500 steps, batch 1,024, everything trainable incl. Ettin at 5e-5",
"mr512_perc1: 7,400 steps, batch 2,048, saliency-weighted flow + 0.1 LPIPS + 0.01 P-DINO, Ettin frozen"
],
"gpu_hours_gh200_lineage": 282.8,
"energy_kwh_at_wall_lineage": 164.5,
"co2e_kg_lineage": 4.94,
"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)",
"data_prep_gpu_hours_gh200": 22.5
},
"training_compute_flop": {
"estimate": 7.8e+19,
"range": [
7.1e+19,
8.5e+19
],
"including_text_encoder_pretraining": 8.8e+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": 97.5,
"512": 255.9
}
},
"output_marking": {
"watermark": "invisible-watermark dwtDctSvd",
"payload": "AGATE003",
"metadata_keys": [
"ai_generated",
"generator",
"model",
"watermark"
],
"default": "on",
"detect": "agate.detect_watermark(img)"
}
}