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Running
ZhangYuhan
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Commit
โข
4037c9e
1
Parent(s):
008ad46
update server
Browse files- serve/gradio_web_t2s.py +9 -9
serve/gradio_web_t2s.py
CHANGED
@@ -32,12 +32,12 @@ def build_t2s_ui_side_by_side_anony(models):
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# โ๏ธ 3DGen-Arena โ๏ธ : Benchmarking Text-to-3D generative models
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## ๐ Rules
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- Input prompt to two anonymous models in same area and vote for the better one!
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- When the results are ready, click the
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-
-
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- Click "Clear" to start a new round.
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## ๐ Arena Elo
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-
Find out who is the ๐ฅ
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## ๐ Generating now!
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@@ -58,11 +58,11 @@ Find out who is the ๐ฅconditional image generation models! More models are goi
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gr.Markdown(model_description_md, elem_id="model_description_markdown")
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with gr.Column():
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with gr.Row():
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geo_left = gr.Image(label = "
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normal_left = gr.Image(label = "Normal A", interactive=False, show_download_button=True)
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rgb_left = gr.Image(label = "RGB A", interactive=False, show_download_button=True)
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with gr.Row():
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geo_right = gr.Image(label = "
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normal_right = gr.Image(label = "Normal B", interactive=False, show_download_button=True)
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rgb_right = gr.Image(label = "RGB B", interactive=False, show_download_button=True)
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@@ -292,7 +292,7 @@ def build_t2s_ui_side_by_side_named(models):
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# โ๏ธ 3DGen-Arena โ๏ธ : Benchmarking Text-to-3D generative models
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## ๐ Rules
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- Generate with any two selected models side-by-side and vote!
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- Sample
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- Click "Send" to submit the prompt.
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- Click "Clear" to start a new round.
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@@ -337,11 +337,11 @@ Find out who is the ๐ฅconditional image generation models! More models are goi
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with gr.Column():
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with gr.Row():
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geo_left = gr.Image(label = "
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normal_left = gr.Image(label = "Normal A", interactive=False, show_download_button=True)
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rgb_left = gr.Image(label = "RGB A", interactive=False, show_download_button=True)
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with gr.Row():
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geo_right = gr.Image(label = "
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normal_right = gr.Image(label = "Normal B", interactive=False, show_download_button=True)
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rgb_right = gr.Image(label = "RGB B", interactive=False, show_download_button=True)
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@@ -614,7 +614,7 @@ def build_t2s_ui_single_model(models):
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)
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with gr.Row():
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geo = gr.Image(label = "
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normal = gr.Image(label = "Normal", interactive=False, show_download_button=True)
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rgb = gr.Image(label = "RGB", interactive=False, show_download_button=True)
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# โ๏ธ 3DGen-Arena โ๏ธ : Benchmarking Text-to-3D generative models
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## ๐ Rules
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- Input prompt to two anonymous models in same area and vote for the better one!
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- When the results are ready, click the buttons below to vote.
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- Until all dimensions have been voted, the anonymous models are displayed.
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- Click "Clear" to start a new round.
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## ๐ Arena Elo
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Find out who is the ๐ฅ text-to-3D generation models! More models are going to be supported.
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## ๐ Generating now!
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gr.Markdown(model_description_md, elem_id="model_description_markdown")
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with gr.Column():
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with gr.Row():
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geo_left = gr.Image(label = "Geometry A", interactive=False, show_download_button=True)
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normal_left = gr.Image(label = "Normal A", interactive=False, show_download_button=True)
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rgb_left = gr.Image(label = "RGB A", interactive=False, show_download_button=True)
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with gr.Row():
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geo_right = gr.Image(label = "Geometry B", interactive=False, show_download_button=True)
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normal_right = gr.Image(label = "Normal B", interactive=False, show_download_button=True)
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rgb_right = gr.Image(label = "RGB B", interactive=False, show_download_button=True)
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# โ๏ธ 3DGen-Arena โ๏ธ : Benchmarking Text-to-3D generative models
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## ๐ Rules
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- Generate with any two selected models side-by-side and vote!
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- Sample prompt you want to generate.
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- Click "Send" to submit the prompt.
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- Click "Clear" to start a new round.
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with gr.Column():
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with gr.Row():
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geo_left = gr.Image(label = "Geometry A", interactive=False, show_download_button=True)
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normal_left = gr.Image(label = "Normal A", interactive=False, show_download_button=True)
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rgb_left = gr.Image(label = "RGB A", interactive=False, show_download_button=True)
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with gr.Row():
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geo_right = gr.Image(label = "Geometry B", interactive=False, show_download_button=True)
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normal_right = gr.Image(label = "Normal B", interactive=False, show_download_button=True)
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rgb_right = gr.Image(label = "RGB B", interactive=False, show_download_button=True)
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)
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with gr.Row():
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geo = gr.Image(label = "Geometry", interactive=False, show_download_button=True)
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normal = gr.Image(label = "Normal", interactive=False, show_download_button=True)
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rgb = gr.Image(label = "RGB", interactive=False, show_download_button=True)
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