Update app.py

app.py

@@ -3,8 +3,8 @@ from PIL import Image
 import gradio as gr
 
 generator = Text2Image(
-    img_height=512,
-    img_width=512,
+    img_height=256,
+    img_width=256,
     jit_compile=False)
 
 def txt2img(prompt, guide, steps, Temp):
@@ -18,7 +18,7 @@ def txt2img(prompt, guide, steps, Temp):
 
 iface = gr.Interface(fn=txt2img, inputs=[
     gr.Textbox(label = 'Input Text Prompt'),
-    gr.Slider(2, 20, value = 9, label = 'Guidence Scale: How close to follow Prompt'),
-    gr.Slider(10, 100, value = 50, step = 1, label = 'Number of Iterations, more take longer but improve image quality'),
-    gr.Slider(.01, 100, value=1, label='Temperature: Changes probability of Diffusion to Image Array, more info in community comments')], outputs = 'image',title='Stable Diffusion with Keras and TensorFlow CPU or GPU', description='Now Using Keras and TensorFlow with Stable Diffusion. This allows very complex image generation with less code footprint, and less text. Simply type in what you wish to see, adjust the sliders (optional) and click submit. For more information on Keras see https://keras.io/about/ for more informationon about Stable Diffusion or Suggestions for prompts, keywords, artists or styles see https://github.com/Maks-s/sd-akashic', article = "Code Monkey: <a href=\"https://huggingface.co/Manjushri\">Manjushri</a>")
+    gr.Slider(2, 20, value = 9, label = 'Guidance Scale: How close to follow Prompt'),
+    gr.Slider(10, 50, value = 20, step = 1, label = 'Number of Iterations, more take longer but improve image quality'),
+    gr.Slider(.01, 100, value=1, label='Temperature: Changes probability of Diffusion to Image Array, more info in community comments')], outputs = 'image',title='Stable Diffusion with Keras and TensorFlow CPU or GPU', description='Now Using Keras and TensorFlow with Stable Diffusion. This allows very complex image generation with less code footprint, and less text. Simply type in what you wish to see, adjust the sliders (optional) and click submit. For more information on Keras see https://keras.io/about/ For more informationon about Stable Diffusion or Suggestions for prompts, keywords, artists or styles see https://github.com/Maks-s/sd-akashic', article = "Code Monkey: <a href=\"https://huggingface.co/Manjushri\">Manjushri</a>")
 iface.launch()