saulemprendedor commited on
Commit
7e622c0
1 Parent(s): dd01e4c

Add files using upload-large-folder tool

Browse files
Rank_1_FAST_4x_GPU-000034.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:da4d9c1c56511fdc2abab7353bee672a1bce9ac57a237e7d6d8f10bdb7715bb9
3
+ size 2535602472
Rank_1_FAST_4x_GPU-000074.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e95b0122535bbe3bce60f8abf4178c03df845a6027c556d0e06f535aca656c88
3
+ size 2535602472
Rank_1_FAST_4x_GPU-000087.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:234b2bb51cfbce9d4264d8ec18484381ad7de87a95f8b1745db5f4369241af9e
3
+ size 2535602472
config_lora-20240908-021221.toml ADDED
@@ -0,0 +1,60 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ae = "/home/Ubuntu/Downloads/ae.safetensors"
2
+ bucket_no_upscale = true
3
+ bucket_reso_steps = 64
4
+ cache_latents = true
5
+ cache_latents_to_disk = true
6
+ cache_text_encoder_outputs = true
7
+ cache_text_encoder_outputs_to_disk = true
8
+ caption_extension = ".txt"
9
+ clip_l = "/home/Ubuntu/Downloads/clip_l.safetensors"
10
+ discrete_flow_shift = 3.1582
11
+ dynamo_backend = "no"
12
+ epoch = 25
13
+ full_bf16 = true
14
+ gradient_accumulation_steps = 1
15
+ gradient_checkpointing = true
16
+ guidance_scale = 1.0
17
+ highvram = true
18
+ huber_c = 0.1
19
+ huber_schedule = "snr"
20
+ loss_type = "l2"
21
+ lr_scheduler = "constant"
22
+ lr_scheduler_args = []
23
+ lr_scheduler_num_cycles = 1
24
+ lr_scheduler_power = 1
25
+ max_bucket_reso = 2048
26
+ max_data_loader_n_workers = 0
27
+ max_timestep = 1000
28
+ max_train_steps = 10000
29
+ mem_eff_save = true
30
+ min_bucket_reso = 256
31
+ mixed_precision = "bf16"
32
+ model_prediction_type = "raw"
33
+ network_alpha = 128
34
+ network_args = []
35
+ network_dim = 128
36
+ network_module = "networks.lora_flux"
37
+ noise_offset_type = "Original"
38
+ optimizer_args = [ "scale_parameter=False", "relative_step=False", "warmup_init=False", "weight_decay=0.01",]
39
+ optimizer_type = "Adafactor"
40
+ output_dir = "/home/Ubuntu/apps/StableSwarmUI/Models/Lora"
41
+ output_name = "Rank_1_FAST_4x_GPU"
42
+ pretrained_model_name_or_path = "/home/Ubuntu/Downloads/flux1-dev.safetensors"
43
+ prior_loss_weight = 1
44
+ resolution = "1024,1024"
45
+ sample_prompts = "/home/Ubuntu/apps/StableSwarmUI/Models/Lora/sample/prompt.txt"
46
+ sample_sampler = "euler_a"
47
+ save_every_n_epochs = 1
48
+ save_model_as = "safetensors"
49
+ save_precision = "float"
50
+ sdpa = true
51
+ seed = 1
52
+ t5xxl = "/home/Ubuntu/Downloads/t5xxl_fp16.safetensors"
53
+ t5xxl_max_token_length = 512
54
+ text_encoder_lr = 0.0001
55
+ timestep_sampling = "sigmoid"
56
+ train_batch_size = 2
57
+ train_data_dir = "/home/Ubuntu/Downloads/flux_train/img"
58
+ unet_lr = 0.0001
59
+ vae_batch_size = 4
60
+ wandb_run_name = "Rank_1_FAST_4x_GPU"