Update app.py
Browse filesupdate font colors
app.py
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@@ -75,14 +75,13 @@ def infer(prompts, negative_prompts, image):
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with gr.Blocks(css=".gradio-container {background-image: linear-gradient(to bottom, #206dff 10%, #f8d0ab 90%)};") as demo:
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gr.Markdown(
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"""
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<h1 style="text-align: center; font-size:
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π Animal Pose Control Net π
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</h1>
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<h3 style="text-align: left;"> This is a demo of Animal Pose ControlNet, which is a model trained on runwayml/stable-diffusion-v1-5 with a new type of conditioning.</h3>
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<h3 style="text-align: left;"> While this is definitely a work in progress, you can still try it out by using the p5 sketch to create a keypoint image and using it as the conditioning image.</h3>
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<h3 style="text-align: left;"> The model was generated as part of the Hugging Face Jax Diffusers sprint. Thank you to both Hugging Face and Google Cloud who provided the TPUs for training!
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<h3 style="text-align: left;"> The dataset was built using the OpenPifPaf Animalpose plugin.</h3>
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</h3>
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""")
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with gr.Row():
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with gr.Column():
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@@ -99,12 +98,12 @@ with gr.Blocks(css=".gradio-container {background-image: linear-gradient(to bott
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keypoint_tool = addp5sketch(sketch_url)
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gr.Markdown(
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"""
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<h3 style="text-align: left;">Additional Information</h3>
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<a style = "color: black; font-size: 20px" href="https://openpifpaf.github.io/plugins_animalpose.html">OpenPifPaf Animalpose</a>
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<a style = "color: black; font-size: 20px" href="https://huggingface.co/datasets/JFoz/dog-cat-pose">Dataset</a>
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<a style = "color: black; font-size: 20px" href="https://huggingface.co/JFoz/dog-cat-pose">Diffusers model</a>
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<a style = "color: black; font-size: 20px" href="https://wandb.ai/john-fozard/dog-cat-pose/runs/kmwcvae5"> WANDB Training Report</a>
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<a style = "color: black; font-size: 20px" href="https://github.com/fi4cr/animalpose/tree/main/scripts">Training Scripts</a>
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<a style = "color: black; font-size: 20px" href="https://p5js.org">p5.js</a>
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""")
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with gr.Blocks(css=".gradio-container {background-image: linear-gradient(to bottom, #206dff 10%, #f8d0ab 90%)};") as demo:
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gr.Markdown(
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"""
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<h1 style="text-align: center; font-size: 32px; color: white;">
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π Animal Pose Control Net π
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</h1>
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+
<h3 style="text-align: left; font-size: 20px; color: white;"> This is a demo of Animal Pose ControlNet, which is a model trained on runwayml/stable-diffusion-v1-5 with a new type of conditioning.</h3>
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| 82 |
+
<h3 style="text-align: left; font-size: 20px; color: white;"> While this is definitely a work in progress, you can still try it out by using the p5 sketch to create a keypoint image and using it as the conditioning image.</h3>
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| 83 |
+
<h3 style="text-align: left; font-size: 20px; color: white;"> The model was generated as part of the Hugging Face Jax Diffusers sprint. Thank you to both Hugging Face and Google Cloud who provided the TPUs for training!
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<h3 style="text-align: left; font-size: 20px; color: white;"> The dataset was built using the OpenPifPaf Animalpose plugin.</h3>
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""")
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with gr.Row():
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with gr.Column():
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keypoint_tool = addp5sketch(sketch_url)
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gr.Markdown(
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"""
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<h3 style="text-align: left; font-size: 24px;">Additional Information</h3>
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<a style = "color: black; font-size: 20px" href="https://openpifpaf.github.io/plugins_animalpose.html">OpenPifPaf Animalpose</a></br>
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<a style = "color: black; font-size: 20px" href="https://huggingface.co/datasets/JFoz/dog-cat-pose">Dataset</a></br>
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<a style = "color: black; font-size: 20px" href="https://huggingface.co/JFoz/dog-cat-pose">Diffusers model</a></br>
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<a style = "color: black; font-size: 20px" href="https://wandb.ai/john-fozard/dog-cat-pose/runs/kmwcvae5"> WANDB Training Report</a></br>
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<a style = "color: black; font-size: 20px" href="https://github.com/fi4cr/animalpose/tree/main/scripts">Training Scripts</a></br>
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<a style = "color: black; font-size: 20px" href="https://p5js.org">p5.js</a>
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""")
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