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f845bf6
1
Parent(s):
e43a382
Update python version
Browse files
README.md
CHANGED
@@ -4,6 +4,7 @@ emoji: π
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colorFrom: yellow
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colorTo: green
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sdk: gradio
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sdk_version: 3.28.2
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app_file: app.py
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pinned: true
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colorFrom: yellow
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colorTo: green
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sdk: gradio
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python_version: 3.10
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sdk_version: 3.28.2
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app_file: app.py
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pinned: true
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app.py
CHANGED
@@ -69,7 +69,8 @@ def generate_3D(input, grid_size=64):
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diffusion = diffusion_from_config(load_config('diffusion'))
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batch_size = 4
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-
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if isinstance(input, Image.Image):
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input = prepare_img(input)
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@@ -114,7 +115,7 @@ def generate_3D(input, grid_size=64):
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tm=rm.tri_mesh()
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with open("
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tm.write_ply(f)
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@@ -129,11 +130,10 @@ def generate_3D(input, grid_size=64):
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images = decode_latent_images(xm, latents[0], cameras, rendering_mode=render_mode)
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# Convert images to gif
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images[0].save(f'/tmp/mesh.mp4', save_all=True, append_images=images[1:], duration=100, loop=0)
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return ply_to_glb('/tmp/mesh.ply', '/tmp/mesh.glb'), '/tmp/mesh.
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def prepare_img(img):
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@@ -198,6 +198,8 @@ with block:
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<a class="duplicate-button" style="display:inline-block" target="_blank" href="https://huggingface.co/spaces/MirageML/point-e?duplicate=true"><img src="https://img.shields.io/badge/-Duplicate%20Space-blue?labelColor=white&style=flat&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAAXNSR0IArs4c6QAAAP5JREFUOE+lk7FqAkEURY+ltunEgFXS2sZGIbXfEPdLlnxJyDdYB62sbbUKpLbVNhyYFzbrrA74YJlh9r079973psed0cvUD4A+4HoCjsA85X0Dfn/RBLBgBDxnQPfAEJgBY+A9gALA4tcbamSzS4xq4FOQAJgCDwV2CPKV8tZAJcAjMMkUe1vX+U+SMhfAJEHasQIWmXNN3abzDwHUrgcRGmYcgKe0bxrblHEB4E/pndMazNpSZGcsZdBlYJcEL9Afo75molJyM2FxmPgmgPqlWNLGfwZGG6UiyEvLzHYDmoPkDDiNm9JR9uboiONcBXrpY1qmgs21x1QwyZcpvxt9NS09PlsPAAAAAElFTkSuQmCC&logoWidth=14" alt="Duplicate Space"></a>
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</div>
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<br />
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<p style="margin-bottom: 10px; font-size: 94%">
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Generate 3D Assets in 1 minute with a prompt or image!
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Based on the <a href="https://github.com/openai/shap-e">Shap-E</a> implementation
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@@ -220,6 +222,8 @@ with block:
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<a class="duplicate-button" style="display:inline-block" target="_blank" href="https://huggingface.co/spaces/MirageML/point-e?duplicate=true"><img src="https://img.shields.io/badge/-Duplicate%20Space-blue?labelColor=white&style=flat&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAAXNSR0IArs4c6QAAAP5JREFUOE+lk7FqAkEURY+ltunEgFXS2sZGIbXfEPdLlnxJyDdYB62sbbUKpLbVNhyYFzbrrA74YJlh9r079973psed0cvUD4A+4HoCjsA85X0Dfn/RBLBgBDxnQPfAEJgBY+A9gALA4tcbamSzS4xq4FOQAJgCDwV2CPKV8tZAJcAjMMkUe1vX+U+SMhfAJEHasQIWmXNN3abzDwHUrgcRGmYcgKe0bxrblHEB4E/pndMazNpSZGcsZdBlYJcEL9Afo75molJyM2FxmPgmgPqlWNLGfwZGG6UiyEvLzHYDmoPkDDiNm9JR9uboiONcBXrpY1qmgs21x1QwyZcpvxt9NS09PlsPAAAAAElFTkSuQmCC&logoWidth=14" alt="Duplicate Space"></a>
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</div>
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<br />
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<p style="margin-bottom: 10px; font-size: 94%">
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Generate 3D Assets in 1 minute with a prompt or image!
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Based on the <a href="https://github.com/openai/shap-e">Shap-E</a> implementation
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@@ -261,6 +265,16 @@ with block:
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fn=generate_3D,
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cache_examples=True
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)
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img_button.click(fn=generate_3D, inputs=[input_image], outputs=[model_3d, model_gif, file_out])
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text_button.click(fn=generate_3D, inputs=[prompt], outputs=[model_3d, model_gif, file_out])
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diffusion = diffusion_from_config(load_config('diffusion'))
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batch_size = 4
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if isinstance(input, np.ndarray):
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input = Image.fromarray(input)
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if isinstance(input, Image.Image):
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input = prepare_img(input)
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tm=rm.tri_mesh()
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with open("/tmp/mesh.ply",'wb') as f:
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tm.write_ply(f)
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images = decode_latent_images(xm, latents[0], cameras, rendering_mode=render_mode)
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# Convert images to gif
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images[0].save(f'/tmp/mesh.gif', save_all=True, append_images=images[1:], duration=100, loop=0)
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return ply_to_glb('/tmp/mesh.ply', '/tmp/mesh.glb'), '/tmp/mesh.gif', gr.update(value=['/tmp/mesh.glb', '/tmp/mesh.ply'], visible=True)
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def prepare_img(img):
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<a class="duplicate-button" style="display:inline-block" target="_blank" href="https://huggingface.co/spaces/MirageML/point-e?duplicate=true"><img src="https://img.shields.io/badge/-Duplicate%20Space-blue?labelColor=white&style=flat&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAAXNSR0IArs4c6QAAAP5JREFUOE+lk7FqAkEURY+ltunEgFXS2sZGIbXfEPdLlnxJyDdYB62sbbUKpLbVNhyYFzbrrA74YJlh9r079973psed0cvUD4A+4HoCjsA85X0Dfn/RBLBgBDxnQPfAEJgBY+A9gALA4tcbamSzS4xq4FOQAJgCDwV2CPKV8tZAJcAjMMkUe1vX+U+SMhfAJEHasQIWmXNN3abzDwHUrgcRGmYcgKe0bxrblHEB4E/pndMazNpSZGcsZdBlYJcEL9Afo75molJyM2FxmPgmgPqlWNLGfwZGG6UiyEvLzHYDmoPkDDiNm9JR9uboiONcBXrpY1qmgs21x1QwyZcpvxt9NS09PlsPAAAAAElFTkSuQmCC&logoWidth=14" alt="Duplicate Space"></a>
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</div>
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<br />
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If the Queue is Too Long, <a href="https://app.mirageml.com/generate" style="text-decoration: underline" target="_blank">Try it on Mirage</a>!
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<br />
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<p style="margin-bottom: 10px; font-size: 94%">
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Generate 3D Assets in 1 minute with a prompt or image!
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Based on the <a href="https://github.com/openai/shap-e">Shap-E</a> implementation
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<a class="duplicate-button" style="display:inline-block" target="_blank" href="https://huggingface.co/spaces/MirageML/point-e?duplicate=true"><img src="https://img.shields.io/badge/-Duplicate%20Space-blue?labelColor=white&style=flat&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAAXNSR0IArs4c6QAAAP5JREFUOE+lk7FqAkEURY+ltunEgFXS2sZGIbXfEPdLlnxJyDdYB62sbbUKpLbVNhyYFzbrrA74YJlh9r079973psed0cvUD4A+4HoCjsA85X0Dfn/RBLBgBDxnQPfAEJgBY+A9gALA4tcbamSzS4xq4FOQAJgCDwV2CPKV8tZAJcAjMMkUe1vX+U+SMhfAJEHasQIWmXNN3abzDwHUrgcRGmYcgKe0bxrblHEB4E/pndMazNpSZGcsZdBlYJcEL9Afo75molJyM2FxmPgmgPqlWNLGfwZGG6UiyEvLzHYDmoPkDDiNm9JR9uboiONcBXrpY1qmgs21x1QwyZcpvxt9NS09PlsPAAAAAElFTkSuQmCC&logoWidth=14" alt="Duplicate Space"></a>
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</div>
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<br />
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If the Queue is Too Long, <a href="https://app.mirageml.com/generate" style="text-decoration: underline" target="_blank">Try it on Mirage</a>!
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<br />
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<p style="margin-bottom: 10px; font-size: 94%">
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Generate 3D Assets in 1 minute with a prompt or image!
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Based on the <a href="https://github.com/openai/shap-e">Shap-E</a> implementation
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fn=generate_3D,
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cache_examples=True
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)
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gr.Examples(
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examples=[
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["a shark"],
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["an avocado"],
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],
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inputs=[prompt],
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outputs=[model_3d, model_gif, file_out],
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fn=generate_3D,
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cache_examples=True
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)
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img_button.click(fn=generate_3D, inputs=[input_image], outputs=[model_3d, model_gif, file_out])
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text_button.click(fn=generate_3D, inputs=[prompt], outputs=[model_3d, model_gif, file_out])
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