alfredplpl commited on
Commit
899c80f
1 Parent(s): 47f4d74

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +12 -12
app.py CHANGED
@@ -6,7 +6,7 @@ import torch
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  from PIL import Image
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  import random
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- model_id = 'aipicasso/cool-japan-diffusion-2-1-1-1'
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  scheduler = EulerAncestralDiscreteScheduler.from_pretrained(model_id, subfolder="scheduler")
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  feature_extractor = CLIPFeatureExtractor.from_pretrained(model_id)
@@ -41,14 +41,14 @@ def inference(prompt, guidance, steps, image_size="Square", seed=0, img=None, st
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  prompt,neg_prompt=auto_prompt_correction(prompt,neg_prompt,cool_japan_type,disable_auto_prompt_correction)
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  if(image_size=="Portrait"):
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- height=768
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- width=576
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  elif(image_size=="Landscape"):
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- height=576
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- width=768
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  else:
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- height=512
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- width=512
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  print(prompt,neg_prompt)
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@@ -149,13 +149,13 @@ with gr.Blocks(css=css) as demo:
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  f"""
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  <div class="main-div">
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  <div>
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- <h1>Cool Japan Diffusion 2.1.1.1</h1>
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  </div>
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  <p>
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- Demo for <a href="https://huggingface.co/aipicasso/cool-japan-diffusion-2-1-1">Cool Japan Diffusion 2.1.1.1</a> Stable Diffusion model.<br>
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  </p>
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  <p>
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- sample : Click "Generate" button without any scripts.
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  </p>
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  <p>
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  sample prompt1 : girl, kimono
@@ -184,7 +184,7 @@ with gr.Blocks(css=css) as demo:
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  prompt = gr.Textbox(label="Prompt", show_label=False, max_lines=2,placeholder="[your prompt]").style(container=False)
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  generate = gr.Button(value="Generate").style(rounded=(False, True, True, False))
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- image_out = gr.Image(height=768,width=576)
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  error_output = gr.Markdown()
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  with gr.Column(scale=45):
@@ -195,7 +195,7 @@ with gr.Blocks(css=css) as demo:
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  with gr.Row():
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  image_size=gr.Radio(["Portrait","Landscape","Square"])
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  image_size.show_label=False
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- image_size.value="Portrait"
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  with gr.Row():
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  guidance = gr.Slider(label="Guidance scale", value=7.5, maximum=15)
 
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  from PIL import Image
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  import random
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+ model_id = 'aipicasso/cool-japan-diffusion-2-1-2-beta'
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  scheduler = EulerAncestralDiscreteScheduler.from_pretrained(model_id, subfolder="scheduler")
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  feature_extractor = CLIPFeatureExtractor.from_pretrained(model_id)
 
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  prompt,neg_prompt=auto_prompt_correction(prompt,neg_prompt,cool_japan_type,disable_auto_prompt_correction)
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  if(image_size=="Portrait"):
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+ height=1024
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+ width=768
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  elif(image_size=="Landscape"):
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+ height=768
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+ width=1024
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  else:
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+ height=768
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+ width=768
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  print(prompt,neg_prompt)
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  f"""
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  <div class="main-div">
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  <div>
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+ <h1>Cool Japan Diffusion 2.1.2 Beta</h1>
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  </div>
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  <p>
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+ Demo for <a href="https://huggingface.co/aipicasso/cool-japan-diffusion-2-1-2-beta">Cool Japan Diffusion 2.1.2 Beta</a> Stable Diffusion model.<br>
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  </p>
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  <p>
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+ sample : Click "Generate" button without any prompts.
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  </p>
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  <p>
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  sample prompt1 : girl, kimono
 
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  prompt = gr.Textbox(label="Prompt", show_label=False, max_lines=2,placeholder="[your prompt]").style(container=False)
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  generate = gr.Button(value="Generate").style(rounded=(False, True, True, False))
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+ image_out = gr.Image(height=768,width=768)
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  error_output = gr.Markdown()
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  with gr.Column(scale=45):
 
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  with gr.Row():
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  image_size=gr.Radio(["Portrait","Landscape","Square"])
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  image_size.show_label=False
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+ image_size.value="Square"
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  with gr.Row():
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  guidance = gr.Slider(label="Guidance scale", value=7.5, maximum=15)