kfahn commited on
Commit
03a04d3
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1 Parent(s): a9b5cc4

Update app.py

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update font colors

Files changed (1) hide show
  1. app.py +11 -12
app.py CHANGED
@@ -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: 30px; color: white">
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  πŸ• Animal Pose Control Net 🐈
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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():
@@ -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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  πŸ• Animal Pose Control Net 🐈
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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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+ <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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+ <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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