kfahn commited on
Commit
edee1cd
1 Parent(s): 70c9759

Update app.py

Browse files

Centering title
Adding back wand report

Files changed (1) hide show
  1. app.py +15 -14
app.py CHANGED
@@ -12,7 +12,7 @@ def create_key(seed=0):
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  return jax.random.PRNGKey(seed)
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  def addp5sketch(url):
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- iframe = f'<iframe src ={url} style="border:none;height:300px;width:100%"/frame>'
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  return gr.HTML(iframe)
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  def wandb_report(url):
@@ -72,9 +72,12 @@ def infer(prompts, negative_prompts, image):
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  with gr.Blocks(theme='kfahn/AnimalPose') as demo:
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  gr.Markdown(
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  """
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- # Animal Pose Control Net
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-
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- ### This is a demo of Animal Pose ControlNet, which is a model trained on runwayml/stable-diffusion-v1-5 with new type of conditioning.
 
 
 
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  """)
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  with gr.Row():
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  with gr.Column():
@@ -82,18 +85,19 @@ with gr.Blocks(theme='kfahn/AnimalPose') as demo:
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  negative_prompts = gr.Textbox(label="Negative Prompt", value="lowres, bad muzzle, bad anatomy, missing ears, missing paws")
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  conditioning_image = gr.Image(label="Conditioning Image")
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  run_btn = gr.Button("Run")
 
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  with gr.Column():
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  keypoint_tool = addp5sketch(sketch_url)
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  output = gr.Image(
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  label="Result",
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  )
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- gr.Markdown(
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- """
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- [Dataset](https://huggingface.co/datasets/JFoz/dog-poses-controlnet-dataset)
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- [Diffusers model](https://huggingface.co/JFoz/dog-pose)
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- [Github](https://github.com/fi4cr/animalpose)
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- [Training Report](https://wandb.ai/john-fozard/dog-cat-pose/runs/kmwcvae5)
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- """)
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  #run_btn.click(fn=infer, title = mytitle, description = mydescription, inputs = [prompts, negative_prompts, conditioning_image], outputs = output)
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  run_btn.click(fn=infer, inputs = [prompts, negative_prompts, conditioning_image], outputs = output)
@@ -101,8 +105,5 @@ with gr.Blocks(theme='kfahn/AnimalPose') as demo:
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  #gr.Interface(fn=infer, inputs = ["text", "text", "image"], outputs = output,
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  #examples=[["a Labrador crossing the road", "low quality", "myimage.jpg"]])
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- #with gr.Row():
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- # report = wandb_report(report_url)
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-
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  demo.launch(debug=True)
 
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  return jax.random.PRNGKey(seed)
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  def addp5sketch(url):
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+ iframe = f'<iframe src ={url} style="border:none;height:495px;width:100%"/frame>'
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  return gr.HTML(iframe)
17
 
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  def wandb_report(url):
 
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  with gr.Blocks(theme='kfahn/AnimalPose') as demo:
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  gr.Markdown(
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  """
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+ <h1 style="text-align: center;">
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+ Animal Pose Control Net
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+ </h1>
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+
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+ <h3 style="text-align: center;"> This is a demo of Animal Pose ControlNet, which is a model trained on runwayml/stable-diffusion-v1-5 with new type of conditioning.
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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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  negative_prompts = gr.Textbox(label="Negative Prompt", value="lowres, bad muzzle, bad anatomy, missing ears, missing paws")
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  conditioning_image = gr.Image(label="Conditioning Image")
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  run_btn = gr.Button("Run")
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+ wandb = wandb_report(report_url)
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  with gr.Column():
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  keypoint_tool = addp5sketch(sketch_url)
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  output = gr.Image(
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  label="Result",
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  )
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+ gr.Markdown(
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+ """
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+ [Dataset](https://huggingface.co/datasets/JFoz/dog-poses-controlnet-dataset)
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+ [Diffusers model](https://huggingface.co/JFoz/dog-pose)
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+ [Github](https://github.com/fi4cr/animalpose)
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+ [Training Report](https://wandb.ai/john-fozard/dog-cat-pose/runs/kmwcvae5)
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+ """)
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  #run_btn.click(fn=infer, title = mytitle, description = mydescription, inputs = [prompts, negative_prompts, conditioning_image], outputs = output)
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  run_btn.click(fn=infer, inputs = [prompts, negative_prompts, conditioning_image], outputs = output)
 
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  #gr.Interface(fn=infer, inputs = ["text", "text", "image"], outputs = output,
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  #examples=[["a Labrador crossing the road", "low quality", "myimage.jpg"]])
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  demo.launch(debug=True)