Create new file

app.py

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+from stable_diffusion_tf.stable_diffusion import Text2Image
+from PIL import Image
+import gradio as gr
+
+generator = Text2Image(
+    img_height=512,
+    img_width=512,
+    jit_compile=False,
+)
+
+def txt2img(prompt, guide, steps, temp)
+    img = generator.generate(prompt,
+    num_steps=150,
+    unconditional_guidance_scale=15,
+    temperature=3,
+    batch_size=1)
+    image=Image.fromarray(img[0])
+    return image
+
+iface = gr.Interface(fn=txt2img inputs=[
+    gr.Textbox(label = 'Input Text Prompt'),
+    gr.Slider(2, 20, value = 9, label = 'Guidence Scale'),
+    gr.Slider(10, 100, value = 50, step = 1, label = 'Number of Iterations'),
+    gr.Slider(1, 33, value=1, step=1)], outputs = 'image')
+iface.launch()