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hypernetwork_loss.csv

@@ -1,41 +1,10 @@
 step,epoch,epoch_step,loss,learn_rate
-500,27,13,nan,1e-05
-1000,55,9,nan,1e-05
-1500,83,5,nan,1e-05
-2000,111,1,nan,1e-05
-2500,138,15,nan,1e-05
-3000,166,11,nan,1e-05
-3500,194,7,nan,1e-05
-4000,222,3,nan,1e-05
-4500,249,17,nan,1e-05
-5000,277,13,nan,1e-05
-5500,305,9,nan,1e-05
-6000,333,5,nan,1e-05
-6500,361,1,nan,1e-05
-7000,388,15,nan,1e-05
-7500,416,11,nan,1e-05
-8000,444,7,nan,1e-05
-8500,472,3,nan,1e-05
-9000,499,17,nan,1e-05
-9500,527,13,nan,1e-05
-10000,555,9,nan,1e-05
-10500,583,5,nan,1e-05
-11000,611,1,nan,1e-05
-11500,638,15,nan,1e-05
-12000,666,11,nan,1e-05
-12500,694,7,nan,1e-05
-13000,722,3,nan,1e-05
-13500,749,17,nan,1e-05
-14000,777,13,nan,1e-05
-14500,805,9,nan,1e-05
-15000,833,5,nan,1e-05
-15500,861,1,nan,1e-05
-16000,888,15,nan,1e-05
-16500,916,11,nan,1e-05
-17000,944,7,nan,1e-05
-17500,972,3,nan,1e-05
-18000,999,17,nan,1e-05
-18500,1027,13,nan,1e-05
-19000,1055,9,nan,1e-05
-19500,1083,5,nan,1e-05
-20000,1111,1,nan,1e-05
+500,31,3,nan,1e-05
+1000,62,7,nan,1e-05
+1500,93,11,nan,1e-05
+2000,124,15,nan,1e-05
+2500,156,3,nan,1e-05
+3000,187,7,nan,1e-05
+3500,218,11,nan,1e-05
+4000,249,15,nan,1e-05
+4500,281,3,nan,1e-05

hypernetworks/gooddraw-1000.pt

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+oid sha256:29644e1986ff07a179f801514087b45d147000b558b26aad8133dc41cf484502
+size 87926382

hypernetworks/gooddraw-2000.pt

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+oid sha256:9d21fd0f99ea729c367a5315043b6e3508988468c0d57da4a7394448a1735677
+size 87926382

hypernetworks/gooddraw-3000.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ef84f059bcfbff101129375021efd78f659e4be7ec22c5c810918453cfdb07bf
+size 87926382

hypernetworks/gooddraw-4000.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:13356d6645236d34fa1417686805b63fe909e7c3d6b2abe0fa8583ee6cbec010
+size 87926382

images/gooddraw-1000.txt

@@ -0,0 +1,2 @@
+a cropped painting of chef, art by gooddraw
+Steps: 20, Sampler: DPM++ 2M, Schedule type: Karras, CFG scale: 7.0, Seed: 3731348046, Size: 768x768, Model: v2-1_768-ema-pruned, Clip skip: 2, NGMS: 4.98, Version: 1.10.1

images/gooddraw-2000.txt

@@ -0,0 +1,2 @@
+a cropped painting of chef, art by gooddraw
+Steps: 20, Sampler: DPM++ 2M, Schedule type: Karras, CFG scale: 7.0, Seed: 906452023, Size: 768x768, Model: v2-1_768-ema-pruned, Clip skip: 2, NGMS: 4.98, Version: 1.10.1

images/gooddraw-3000.txt

@@ -0,0 +1,2 @@
+a rendering of photography, art by gooddraw
+Steps: 20, Sampler: DPM++ 2M, Schedule type: Karras, CFG scale: 7.0, Seed: 1753975314, Size: 768x768, Model: v2-1_768-ema-pruned, Clip skip: 2, NGMS: 4.98, Version: 1.10.1

images/gooddraw-4000.txt

@@ -0,0 +1,2 @@
+a painting of Cute_turtle, art by gooddraw
+Steps: 20, Sampler: DPM++ 2M, Schedule type: Karras, CFG scale: 7.0, Seed: 4060610927, Size: 768x768, Model: v2-1_768-ema-pruned, Clip skip: 2, NGMS: 4.98, Version: 1.10.1

settings-2024-10-04-09-21-08.json

@@ -0,0 +1,31 @@
+{
+    "datetime": "2024-10-04 09:21:08",
+    "model_name": "v2-1_768-ema-pruned",
+    "model_hash": null,
+    "num_of_dataset_images": 17,
+    "layer_structure": [
+        1.0,
+        2.0,
+        1.0
+    ],
+    "activation_func": "swish",
+    "weight_init": "Normal",
+    "add_layer_norm": true,
+    "use_dropout": true,
+    "hypernetwork_name": "gooddraw",
+    "learn_rate": "0.00001",
+    "batch_size": 1,
+    "gradient_step": 1,
+    "data_root": "/kaggle/input/source1",
+    "log_directory": "textual_inversion/2024-10-04/gooddraw",
+    "training_width": 768,
+    "training_height": 768,
+    "steps": 10000,
+    "clip_grad_mode": "disabled",
+    "clip_grad_value": "0.1",
+    "latent_sampling_method": "once",
+    "create_image_every": 0,
+    "save_hypernetwork_every": 1000,
+    "template_file": "/kaggle/working/stable-diffusion-webui/textual_inversion_templates/style_filewords.txt",
+    "initial_step": 0
+}

settings-2024-10-04-10-00-55.json

@@ -0,0 +1,31 @@
+{
+    "datetime": "2024-10-04 10:00:55",
+    "model_name": "v2-1_768-ema-pruned",
+    "model_hash": null,
+    "num_of_dataset_images": 16,
+    "layer_structure": [
+        1.0,
+        2.0,
+        1.0
+    ],
+    "activation_func": "swish",
+    "weight_init": "Normal",
+    "add_layer_norm": true,
+    "use_dropout": true,
+    "hypernetwork_name": "gooddraw",
+    "learn_rate": "0.00001",
+    "batch_size": 1,
+    "gradient_step": 1,
+    "data_root": "/kaggle/input/source2",
+    "log_directory": "textual_inversion/2024-10-04/gooddraw",
+    "training_width": 768,
+    "training_height": 768,
+    "steps": 10000,
+    "clip_grad_mode": "disabled",
+    "clip_grad_value": "0.1",
+    "latent_sampling_method": "once",
+    "create_image_every": 1000,
+    "save_hypernetwork_every": 1000,
+    "template_file": "/kaggle/working/stable-diffusion-webui/textual_inversion_templates/style_filewords.txt",
+    "initial_step": 162
+}