Upload ilvina-6rep-16d-16a-12ep-0005lr-4bs-adamw8bit/training_config.json with huggingface_hub
Browse files
ilvina-6rep-16d-16a-12ep-0005lr-4bs-adamw8bit/training_config.json
ADDED
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"pretrained_model_name_or_path": "/workspace/models/flux1-dev.safetensors",
|
3 |
+
"ae": "/workspace/models/ae.safetensors",
|
4 |
+
"t5xxl": "/workspace/models/t5xxl_fp16.safetensors",
|
5 |
+
"clip_l": "/workspace/models/clip_l.safetensors",
|
6 |
+
"network_dim": 16,
|
7 |
+
"network_alpha": 16,
|
8 |
+
"train_batch_size": 4,
|
9 |
+
"optimizer_type": "Adamw8bit",
|
10 |
+
"unet_lr": 0.0005,
|
11 |
+
"epoch": 12,
|
12 |
+
"max_train_steps": 625,
|
13 |
+
"apply_t5_attn_mask": false,
|
14 |
+
"cache_latents": true,
|
15 |
+
"cache_latents_to_disk": true,
|
16 |
+
"cache_text_encoder_outputs": true,
|
17 |
+
"cache_text_encoder_outputs_to_disk": true,
|
18 |
+
"clip_skip": 1,
|
19 |
+
"discrete_flow_shift": 3.1582,
|
20 |
+
"full_bf16": true,
|
21 |
+
"mixed_precision": "bf16",
|
22 |
+
"gradient_accumulation_steps": 1,
|
23 |
+
"gradient_checkpointing": true,
|
24 |
+
"guidance_scale": 1.0,
|
25 |
+
"highvram": true,
|
26 |
+
"huber_c": 0.1,
|
27 |
+
"huber_schedule": "snr",
|
28 |
+
"loss_type": "l2",
|
29 |
+
"lr_scheduler": "cosine_with_restarts",
|
30 |
+
"lr_scheduler_args": [],
|
31 |
+
"lr_scheduler_num_cycles": 3,
|
32 |
+
"lr_scheduler_power": 1,
|
33 |
+
"max_data_loader_n_workers": 0,
|
34 |
+
"max_grad_norm": 1,
|
35 |
+
"max_timestep": 1000,
|
36 |
+
"min_snr_gamma": 5,
|
37 |
+
"model_prediction_type": "raw",
|
38 |
+
"network_args": [
|
39 |
+
"train_double_block_indices=all",
|
40 |
+
"train_single_block_indices=all"
|
41 |
+
],
|
42 |
+
"network_module": "networks.lora_flux",
|
43 |
+
"network_train_unet_only": true,
|
44 |
+
"noise_offset": 0.1,
|
45 |
+
"noise_offset_type": "Original",
|
46 |
+
"optimizer_args": [],
|
47 |
+
"prior_loss_weight": 1,
|
48 |
+
"sample_sampler": "euler",
|
49 |
+
"sdpa": true,
|
50 |
+
"seed": 42,
|
51 |
+
"t5xxl_max_token_length": 512,
|
52 |
+
"text_encoder_lr": [],
|
53 |
+
"timestep_sampling": "sigmoid"
|
54 |
+
}
|