Epoch 50
Browse files- .ipynb_checkpoints/Untitled-checkpoint.ipynb +6 -0
- Untitled.ipynb +122 -0
- checkpoint-25000/optimizer.bin +3 -0
- checkpoint-25000/random_states_0.pkl +3 -0
- checkpoint-25000/scaler.pt +3 -0
- checkpoint-25000/scheduler.bin +3 -0
- checkpoint-25000/unet/config.json +52 -0
- checkpoint-25000/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-25500/optimizer.bin +3 -0
- checkpoint-25500/random_states_0.pkl +3 -0
- checkpoint-25500/scaler.pt +3 -0
- checkpoint-25500/scheduler.bin +3 -0
- checkpoint-25500/unet/config.json +52 -0
- checkpoint-25500/unet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-26000/optimizer.bin +3 -0
- checkpoint-26000/random_states_0.pkl +3 -0
- checkpoint-26000/scaler.pt +3 -0
- checkpoint-26000/scheduler.bin +3 -0
- checkpoint-26000/unet/config.json +52 -0
- checkpoint-26000/unet/diffusion_pytorch_model.safetensors +3 -0
- logs/train_unconditional/events.out.tfevents.1724945164.f786777584b2.1108.0 +3 -0
- logs/train_unconditional/events.out.tfevents.1724948056.5a8349fd16a5.332.0 +3 -0
- logs/train_unconditional/events.out.tfevents.1724948442.5a8349fd16a5.750.0 +3 -0
- logs/train_unconditional/events.out.tfevents.1724948466.5a8349fd16a5.828.0 +3 -0
- logs/train_unconditional/events.out.tfevents.1724950687.5a8349fd16a5.1146.0 +3 -0
- logs/train_unconditional/events.out.tfevents.1724950713.5a8349fd16a5.1227.0 +3 -0
- logs/train_unconditional/events.out.tfevents.1724951910.5a8349fd16a5.1677.0 +3 -0
- model_index.json +12 -0
- scheduler/scheduler_config.json +19 -0
- unet/config.json +52 -0
- unet/diffusion_pytorch_model.safetensors +3 -0
.ipynb_checkpoints/Untitled-checkpoint.ipynb
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"cells": [],
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"metadata": {},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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Untitled.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "f7c2711d-581e-433d-b516-375f663b512b",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Requirement already satisfied: tensorboard in /usr/local/lib/python3.11/dist-packages (2.17.1)\n",
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"Requirement already satisfied: absl-py>=0.4 in /usr/local/lib/python3.11/dist-packages (from tensorboard) (2.1.0)\n",
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"Requirement already satisfied: grpcio>=1.48.2 in /usr/local/lib/python3.11/dist-packages (from tensorboard) (1.66.1)\n",
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"Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.11/dist-packages (from tensorboard) (3.7)\n",
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"Requirement already satisfied: numpy>=1.12.0 in /usr/local/lib/python3.11/dist-packages (from tensorboard) (1.26.4)\n",
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"Requirement already satisfied: packaging in /usr/local/lib/python3.11/dist-packages (from tensorboard) (24.1)\n",
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"Requirement already satisfied: protobuf!=4.24.0,>=3.19.6 in /usr/local/lib/python3.11/dist-packages (from tensorboard) (5.28.0)\n",
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"Requirement already satisfied: setuptools>=41.0.0 in /usr/local/lib/python3.11/dist-packages (from tensorboard) (73.0.1)\n",
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"Requirement already satisfied: six>1.9 in /usr/lib/python3/dist-packages (from tensorboard) (1.16.0)\n",
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"Requirement already satisfied: tensorboard-data-server<0.8.0,>=0.7.0 in /usr/local/lib/python3.11/dist-packages (from tensorboard) (0.7.2)\n",
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"Requirement already satisfied: werkzeug>=1.0.1 in /usr/local/lib/python3.11/dist-packages (from tensorboard) (3.0.4)\n",
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"Requirement already satisfied: MarkupSafe>=2.1.1 in /usr/local/lib/python3.11/dist-packages (from werkzeug>=1.0.1->tensorboard) (2.1.5)\n",
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"\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager, possibly rendering your system unusable.It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv. Use the --root-user-action option if you know what you are doing and want to suppress this warning.\u001b[0m\u001b[33m\n",
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"\u001b[0m"
|
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]
|
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}
|
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],
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"source": [
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"!pip install tensorboard"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "3405637e-767e-47ac-b2ed-2fad64da0c32",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"The tensorboard extension is already loaded. To reload it, use:\n",
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" %reload_ext tensorboard\n"
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]
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}
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],
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"source": [
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"%load_ext tensorboard"
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]
|
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},
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{
|
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"cell_type": "code",
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"execution_count": 11,
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"id": "8589581d-09e6-4a30-8a3e-606350df6f30",
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"metadata": {},
|
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"outputs": [],
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"source": [
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"!kill 1448"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"id": "5404abf4-c654-48d6-b1cb-bb60b35620ad",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"\n",
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" <iframe id=\"tensorboard-frame-6028da6349f13372\" width=\"100%\" height=\"800\" frameborder=\"0\">\n",
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" </iframe>\n",
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" <script>\n",
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" (function() {\n",
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" const frame = document.getElementById(\"tensorboard-frame-6028da6349f13372\");\n",
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" const port = 6007;\n",
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" if (port) {\n",
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" url.port = port;\n",
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" }\n",
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" frame.src = url;\n",
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" })();\n",
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" </script>\n",
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" "
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],
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]
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},
|
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"metadata": {},
|
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"output_type": "display_data"
|
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}
|
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],
|
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"source": [
|
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"%tensorboard --logdir=\"logs/train_unconditional\""
|
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]
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}
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],
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"metadata": {
|
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"kernelspec": {
|
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"display_name": "Python 3 (ipykernel)",
|
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"language": "python",
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"name": "python3"
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},
|
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"language_info": {
|
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|
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"name": "ipython",
|
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"version": 3
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"file_extension": ".py",
|
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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|
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"nbformat": 4,
|
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"nbformat_minor": 5
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}
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checkpoint-25000/optimizer.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:4c483847f331a7e2f01eb64d6191f8b60d4fbadba809e679d93be86f10a9bf92
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size 909763736
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checkpoint-25000/random_states_0.pkl
ADDED
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version https://git-lfs.github.com/spec/v1
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size 14344
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checkpoint-25000/scaler.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:3902407c0bdba642188979b6f3ec61116e8beb34c3409ade0052efd965392245
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size 988
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checkpoint-25000/scheduler.bin
ADDED
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+
version https://git-lfs.github.com/spec/v1
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oid sha256:3a15d7fc66f1b75f6fad84e1585257d21304771763410529e0386cc96c099db4
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size 1000
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checkpoint-25000/unet/config.json
ADDED
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{
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2 |
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"_class_name": "UNet2DModel",
|
3 |
+
"_diffusers_version": "0.31.0.dev0",
|
4 |
+
"_name_or_path": "ddpm-ema-flowers-64/checkpoint-20500",
|
5 |
+
"act_fn": "silu",
|
6 |
+
"add_attention": true,
|
7 |
+
"attention_head_dim": 8,
|
8 |
+
"attn_norm_num_groups": null,
|
9 |
+
"block_out_channels": [
|
10 |
+
128,
|
11 |
+
128,
|
12 |
+
256,
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13 |
+
256,
|
14 |
+
512,
|
15 |
+
512
|
16 |
+
],
|
17 |
+
"center_input_sample": false,
|
18 |
+
"class_embed_type": null,
|
19 |
+
"down_block_types": [
|
20 |
+
"DownBlock2D",
|
21 |
+
"DownBlock2D",
|
22 |
+
"DownBlock2D",
|
23 |
+
"DownBlock2D",
|
24 |
+
"AttnDownBlock2D",
|
25 |
+
"DownBlock2D"
|
26 |
+
],
|
27 |
+
"downsample_padding": 1,
|
28 |
+
"downsample_type": "conv",
|
29 |
+
"dropout": 0.0,
|
30 |
+
"flip_sin_to_cos": true,
|
31 |
+
"freq_shift": 0,
|
32 |
+
"in_channels": 3,
|
33 |
+
"layers_per_block": 2,
|
34 |
+
"mid_block_scale_factor": 1,
|
35 |
+
"norm_eps": 1e-05,
|
36 |
+
"norm_num_groups": 32,
|
37 |
+
"num_class_embeds": null,
|
38 |
+
"num_train_timesteps": null,
|
39 |
+
"out_channels": 3,
|
40 |
+
"resnet_time_scale_shift": "default",
|
41 |
+
"sample_size": 64,
|
42 |
+
"time_embedding_type": "positional",
|
43 |
+
"up_block_types": [
|
44 |
+
"UpBlock2D",
|
45 |
+
"AttnUpBlock2D",
|
46 |
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"UpBlock2D",
|
47 |
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"UpBlock2D",
|
48 |
+
"UpBlock2D",
|
49 |
+
"UpBlock2D"
|
50 |
+
],
|
51 |
+
"upsample_type": "conv"
|
52 |
+
}
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checkpoint-25000/unet/diffusion_pytorch_model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:070ca441d1b75265e316b7d55aae1868319f4380f86c1774e024ed49cc2e23bb
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size 454741108
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checkpoint-25500/optimizer.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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size 909763736
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checkpoint-25500/random_states_0.pkl
ADDED
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version https://git-lfs.github.com/spec/v1
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checkpoint-25500/scaler.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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size 988
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checkpoint-25500/scheduler.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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size 1000
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checkpoint-25500/unet/config.json
ADDED
@@ -0,0 +1,52 @@
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+
{
|
2 |
+
"_class_name": "UNet2DModel",
|
3 |
+
"_diffusers_version": "0.31.0.dev0",
|
4 |
+
"_name_or_path": "ddpm-ema-flowers-64/checkpoint-20500",
|
5 |
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"act_fn": "silu",
|
6 |
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|
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|
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|
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512,
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512
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"center_input_sample": false,
|
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|
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"down_block_types": [
|
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"DownBlock2D",
|
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"DownBlock2D",
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"DownBlock2D",
|
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"DownBlock2D",
|
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"AttnDownBlock2D",
|
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"DownBlock2D"
|
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],
|
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"downsample_padding": 1,
|
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"downsample_type": "conv",
|
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"dropout": 0.0,
|
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"flip_sin_to_cos": true,
|
31 |
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"freq_shift": 0,
|
32 |
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"in_channels": 3,
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