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app.ipynb
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@@ -64,7 +64,7 @@
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},
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{
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"cell_type": "code",
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-
"execution_count":
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"id": "7579bfc6-ddf6-444d-ab7e-505734d86e4d",
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"metadata": {},
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"outputs": [
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@@ -72,7 +72,7 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Running on local URL: http://127.0.0.1:
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"\n",
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"To create a public link, set `share=True` in `launch()`.\n"
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]
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@@ -80,7 +80,7 @@
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{
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"data": {
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"text/html": [
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"<div><iframe src=\"http://127.0.0.1:
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],
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"text/plain": [
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"<IPython.core.display.HTML object>"
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@@ -93,7 +93,7 @@
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"data": {
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"text/plain": []
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},
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"execution_count":
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"metadata": {},
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"output_type": "execute_result"
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}
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@@ -108,11 +108,9 @@
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" \n",
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" Welcome to the leaderboard for the DreamBooth Hackathon! This is a community event where particpants **personalise a Stable Diffusion model** by fine-tuning it with a powerful technique called [_DreamBooth_](https://arxiv.org/abs/2208.12242). This technique allows one to implant a subject (e.g. your pet or favourite dish) into the output domain of the model such that it can be synthesized with a _unique identifier_ in the prompt. \n",
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" \n",
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" This competition is composed of 5 _themes_, where each theme will collect models belong to one of the categories shown in the tabs below.\n",
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"\n",
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" We'll be **giving out prizes to the top 3 most liked models per theme**, and you're encouraged to submit as many models as you want!\n",
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" \n",
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" For details on how to participate, check out the hackathon's guide [here](
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" \"\"\"\n",
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" )\n",
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" with gr.Tabs():\n",
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@@ -183,7 +181,7 @@
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},
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{
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"cell_type": "code",
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"execution_count":
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"id": "17ff7d33-0c9a-4ca0-bb7b-ba1661063035",
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"metadata": {},
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"outputs": [
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@@ -191,7 +189,7 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Closing server running on port:
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]
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}
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],
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@@ -201,7 +199,7 @@
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},
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{
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"cell_type": "code",
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"execution_count":
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"id": "339fee32-8a83-435d-b882-55b5f0994774",
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"metadata": {},
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"outputs": [],
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},
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{
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"cell_type": "code",
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"execution_count": 117,
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"id": "7579bfc6-ddf6-444d-ab7e-505734d86e4d",
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"metadata": {},
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"outputs": [
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Running on local URL: http://127.0.0.1:7894\n",
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"\n",
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"To create a public link, set `share=True` in `launch()`.\n"
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]
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{
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"data": {
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"text/html": [
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"<div><iframe src=\"http://127.0.0.1:7894/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
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],
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"text/plain": [
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"<IPython.core.display.HTML object>"
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"data": {
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"text/plain": []
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},
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"execution_count": 117,
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"metadata": {},
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"output_type": "execute_result"
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}
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" \n",
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" Welcome to the leaderboard for the DreamBooth Hackathon! This is a community event where particpants **personalise a Stable Diffusion model** by fine-tuning it with a powerful technique called [_DreamBooth_](https://arxiv.org/abs/2208.12242). This technique allows one to implant a subject (e.g. your pet or favourite dish) into the output domain of the model such that it can be synthesized with a _unique identifier_ in the prompt. \n",
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" \n",
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+
" This competition is composed of 5 _themes_, where each theme will collect models belong to one of the categories shown in the tabs below. We'll be **giving out prizes to the top 3 most liked models per theme**, and you're encouraged to submit as many models as you want!\n",
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" \n",
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" For details on how to participate, check out the hackathon's guide [here](https://github.com/huggingface/diffusion-models-class/blob/main/hackathon/README.md).\n",
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" \"\"\"\n",
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" )\n",
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" with gr.Tabs():\n",
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},
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{
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"cell_type": "code",
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"execution_count": 118,
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"id": "17ff7d33-0c9a-4ca0-bb7b-ba1661063035",
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"metadata": {},
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"outputs": [
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Closing server running on port: 7894\n"
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]
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}
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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": 119,
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"id": "339fee32-8a83-435d-b882-55b5f0994774",
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"metadata": {},
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"outputs": [],
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app.py
CHANGED
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@@ -50,11 +50,9 @@ with block:
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Welcome to the leaderboard for the DreamBooth Hackathon! This is a community event where particpants **personalise a Stable Diffusion model** by fine-tuning it with a powerful technique called [_DreamBooth_](https://arxiv.org/abs/2208.12242). This technique allows one to implant a subject (e.g. your pet or favourite dish) into the output domain of the model such that it can be synthesized with a _unique identifier_ in the prompt.
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-
This competition is composed of 5 _themes_, where each theme will collect models belong to one of the categories shown in the tabs below.
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-
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-
We'll be **giving out prizes to the top 3 most liked models per theme**, and you're encouraged to submit as many models as you want!
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|
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-
For details on how to participate, check out the hackathon's guide [here](
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"""
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)
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with gr.Tabs():
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Welcome to the leaderboard for the DreamBooth Hackathon! This is a community event where particpants **personalise a Stable Diffusion model** by fine-tuning it with a powerful technique called [_DreamBooth_](https://arxiv.org/abs/2208.12242). This technique allows one to implant a subject (e.g. your pet or favourite dish) into the output domain of the model such that it can be synthesized with a _unique identifier_ in the prompt.
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+
This competition is composed of 5 _themes_, where each theme will collect models belong to one of the categories shown in the tabs below. We'll be **giving out prizes to the top 3 most liked models per theme**, and you're encouraged to submit as many models as you want!
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+
For details on how to participate, check out the hackathon's guide [here](https://github.com/huggingface/diffusion-models-class/blob/main/hackathon/README.md).
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"""
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)
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with gr.Tabs():
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