grinpress / config.json
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grinpress v1.0: weights, code, model card, samples :3
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{
"model_type": "grinpress-rectified-flow-unet",
"total_params": 33860000,
"unet": {
"in_channels": 3,
"out_channels": 3,
"base_channels": 64,
"channel_mults": [1, 2, 3, 4],
"num_res_blocks": 2,
"attn_levels": [2, 3],
"attn_heads": 8,
"mid_block": ["ResBlock", "AttnBlock", "ResBlock"],
"time_embed_dim": 512,
"norm": "GroupNorm(32)",
"context_dim": 256,
"params": 32230000
},
"text_encoder": {
"tokenizer": "ascii_bytes",
"vocab_size": 128,
"pad_id": 0,
"max_len": 64,
"dim": 256,
"layers": 2,
"heads": 4,
"ffn_mult": 4,
"positional": "sinusoidal_1d",
"cfg_dropout": 0.1,
"null": "learned_sequence",
"params": 1630000
},
"flow": {
"type": "rectified_flow",
"interpolation": "x_t = (1 - t) * x0 + t * noise",
"target": "v = noise - x0",
"t_sampling": "logit_normal",
"time_input_scale": 1000
},
"training": {
"resolution": 128,
"dataset_size": 50000,
"steps": 60000,
"batch_size": 64,
"optimizer": "AdamW",
"lr": 0.0002,
"betas": [0.9, 0.99],
"weight_decay": 0.01,
"lr_schedule": "linear warmup 1000 steps + cosine to 5% of lr",
"grad_clip": 1.0,
"ema_decay": 0.9999,
"precision": "bf16"
},
"sampling": {
"solver": "euler",
"default_steps": 50,
"default_cfg_scale": 5.0
},
"weights_file": "ema_final_bf16.pt",
"image_range": [-1, 1]
}