Create app.py

app.py

@@ -0,0 +1,294 @@
+import json
+import random
+import gradio as gr
+#import modules
+from pathlib import Path
+#from modules import script_callbacks
+#import modules.scripts as scripts
+
+#result_prompt = ""
+#base_dir = scripts.basedir()
+base_dir = "."
+dropdown_options_file = Path(base_dir, "json/dropdown_options.json")
+category_data_file = Path(base_dir, "json/category_data.json")
+style_data_file = Path(base_dir, "json/style_data.json")
+prefix_data_file = Path(base_dir, "json/prefix_data.json")
+lightning_data_file = Path(base_dir, "json/lightning_data.json")
+lens_data_file = Path(base_dir, "json/lens_data.json")
+
+
+class Model:
+    '''
+    Small strut to hold data for the text generator
+    '''
+
+    def __init__(self, name) -> None:
+        self.name = name
+        pass
+
+
+def populate_dropdown_options():
+    path = dropdown_options_file
+    with open(path, 'r') as f:
+        data = json.load(f)
+    category_choices = data["category"]
+    style_choices = data["style"]
+    lightning_choices = data["lightning"]
+    lens_choices = data["lens"]
+    return tuple(category_choices), tuple(style_choices), tuple(lightning_choices), tuple(lens_choices),
+
+
+'''
+def add_to_prompt(*args):
+    prompt, use_default_negative_prompt = args
+    default_negative_prompt = "(worst quality:1.2), (low quality:1.2), (lowres:1.1), (monochrome:1.1), (greyscale), multiple views, comic, sketch, (((bad anatomy))), (((deformed))), (((disfigured))), watermark, multiple_views, mutation hands, mutation fingers, extra fingers, missing fingers, watermark"
+    if(use_default_negative_prompt):
+        return prompt, default_negative_prompt
+    else:
+        return prompt, ""
+'''
+def add_to_prompt(*args):
+    prompt, use_default_negative_prompt, base_prompt, negative_base_prompt = args
+    default_negative_prompt = "(worst quality:1.2), (low quality:1.2), (lowres:1.1), (monochrome:1.1), (greyscale), multiple views, comic, sketch, (((bad anatomy))), (((deformed))), (((disfigured))), watermark, multiple_views, mutation hands, mutation fingers, extra fingers, missing fingers, watermark"
+    if(use_default_negative_prompt):
+        return "{} {}".format(base_prompt ,prompt), default_negative_prompt
+    else:
+        return "{} {}".format(base_prompt ,prompt), ""
+
+
+def get_random_prompt(data):
+    random_key = random.choice(list(data.keys()))
+    random_array = random.choice(data[random_key])
+    random_strings = random.sample(random_array, 3)
+    return random_strings
+
+def get_correct_prompt(data, selected_dropdown):
+    correct_array = data[selected_dropdown]
+    random_array = random.choice(correct_array)
+    random_strings = random.sample(random_array, 3)
+    random_strings.insert(0, selected_dropdown)
+
+    return random_strings
+
+def generate_prompt_output(*args):
+    #all imported files
+    prefix_path = prefix_data_file
+    category_path = category_data_file
+    style_path = style_data_file
+    lightning_path = lightning_data_file
+    lens_path = lens_data_file
+
+    #destructure args
+    category, style, lightning, lens, negative_prompt = args
+
+    # Convert variables to lowercase
+    category = category.lower()
+    style = style.lower()
+    lightning = lightning.lower()
+    lens = lens.lower()
+
+    # Open category_data.json and grab correct text
+    with open(prefix_path, 'r') as f:
+        prefix_data = json.load(f)
+        prefix_prompt = random.sample(prefix_data, 6)
+        modified_prefix_prompt = [f"(({item}))" for item in prefix_prompt]
+
+
+    # Open category_data.json and grab correct text
+    with open(category_path, 'r') as f2:
+        category_data = json.load(f2)
+
+    if category == "none":
+        category_prompt = ""
+    elif category == "random":
+        category_prompt = get_random_prompt(category_data)
+    else:
+        category_prompt = get_correct_prompt(category_data, category)
+
+
+    # Open style_data.json and grab correct text
+    with open(style_path, 'r') as f3:
+        style_data = json.load(f3)
+
+    if style == "none":
+        style_prompt = ""
+    elif style == "random":
+        style_prompt = get_random_prompt(style_data)
+    else:
+        style_prompt = get_correct_prompt(style_data, style)
+
+    # Open lightning_data.json and grab correct text
+    with open(lightning_path, 'r') as f4:
+        lightning_data = json.load(f4)
+
+    if lightning == "none":
+        lightning_prompt = ""
+    elif lightning == "random":
+        lightning_prompt = get_random_prompt(lightning_data)
+    else:
+        lightning_prompt = get_correct_prompt(lightning_data, lightning)
+
+    # Open lens_data.json and grab correct text
+    with open(lens_path, 'r') as f5:
+        lens_data = json.load(f5)
+
+    if lens == "none":
+        lens_prompt = ""
+    elif lens == "random":
+        lens_prompt = get_random_prompt(lens_data)
+    else:
+        lens_prompt = get_correct_prompt(lens_data, lens)
+
+
+    prompt_output = modified_prefix_prompt, category_prompt, style_prompt, lightning_prompt, lens_prompt
+    prompt_strings = []
+
+    for sublist in prompt_output:
+        # Join the sublist elements into a single string
+        prompt_string = ", ".join(str(item) for item in sublist)
+        if prompt_string:  # Check if the prompt_string is not empty
+            prompt_strings.append(prompt_string)
+
+    # Join the non-empty prompt_strings
+    final_output = ", ".join(prompt_strings)
+
+    return final_output
+
+
+
+def on_ui_tabs():
+    '''
+    # UI structure
+    txt2img_prompt = modules.ui.txt2img_paste_fields[0][0]
+    img2img_prompt = modules.ui.img2img_paste_fields[0][0]
+
+    txt2img_negative_prompt = modules.ui.txt2img_paste_fields[1][0]
+    img2img_negative_prompt = modules.ui.img2img_paste_fields[1][0]
+    '''
+
+
+
+    #with gr.Blocks(analytics_enabled=False) as prompt_generator:
+    with gr.Blocks(css = '''
+    .header img {
+          float: middle;
+          width: 33px;
+          height: 33px;
+        }
+        .header h1 {
+          top: 18px;
+          left: 10px;
+        }
+    '''
+    ) as prompt_generator:
+        gr.HTML(
+        '''
+        <center>
+        <div class="header">
+        <h1 class = "logo"> <img src="https://huggingface.co/spaces/svjack/Next-Diffusion-Prompt-Generator/resolve/main/images/nextdiffusion_logo.png" alt="logo" />  Next Diffusion Prompt Generator Extension </h1>
+        </center>
+        ''')
+
+        with gr.Tab("Prompt Generator"):
+            with gr.Row():  # Use Row to arrange two columns side by side
+                with gr.Column():  # Left column for dropdowns
+                    category_choices, style_choices, lightning_choices, lens_choices = populate_dropdown_options()
+
+                    with gr.Row():
+                        gr.HTML('''<h2 id="input_header">Input 👇</h2>''')
+                    with gr.Row():
+                        # Create a dropdown to select
+                        with gr.Row():
+                            txt2img_prompt = gr.Textbox(label = "txt2img_prompt", interactive = True)
+                            txt2img_negative_prompt = gr.Textbox(label = "txt2img_negative_prompt", interactive = True)
+                        with gr.Row():
+                            img2img_prompt = gr.Textbox(label = "img2img_prompt", interactive = True)
+                            img2img_negative_prompt = gr.Textbox(label = "img2img_negative_prompt", interactive = True)
+                    with gr.Row().style(equal_height=True):  # Place dropdowns side by side
+                        category_dropdown = gr.Dropdown(
+                            choices=category_choices,
+                            value=category_choices[1],
+                            label="Category", show_label=True
+                        )
+
+                        style_dropdown = gr.Dropdown(
+                            choices=style_choices,
+                            value=style_choices[1],
+                            label="Style", show_label=True
+                        )
+                    with gr.Row():
+                        lightning_dropdown = gr.Dropdown(
+                            choices=lightning_choices,
+                            value=lightning_choices[1],
+                            label="Lightning", show_label=True
+                        )
+
+                        lens_dropdown = gr.Dropdown(
+                            choices=lens_choices,
+                            value=lens_choices[1],
+                            label="Lens", show_label=True
+                        )
+                    with gr.Row():
+                        gr.HTML('''
+                        <hr class="rounded" id="divider">
+                    ''')
+                    with gr.Row():
+                        gr.HTML('''<h2 id="input_header">Links</h2>''')
+                    with gr.Row():
+                        gr.HTML('''
+                        <h3>Stable Diffusion Tutorials⚡</h3>
+                        <container>
+                            <a href="https://nextdiffusion.ai" target="_blank">
+                                <button id="website_button" class="external-link">Website</button>
+                            </a>
+                            <a href="https://www.youtube.com/channel/UCd9UIUkLnjE-Fj-CGFdU74Q?sub_confirmation=1" target="_blank">
+                                <button id="youtube_button" class="external-link">YouTube</button>
+                            </a>
+                        </container>
+                    ''')
+
+
+                with gr.Column():  # Right column for result_textbox and generate_button
+                    # Add a Textbox to display the generated text
+                    with gr.Row():
+                        gr.HTML('''<h2 id="output_header">Output 👋</h2>''')
+                    result_textbox = gr.Textbox(label="Generated Prompt", lines=3)
+                    use_default_negative_prompt = gr.Checkbox(label="Include Negative Prompt", value=True, interactive=True, elem_id="negative_prompt_checkbox")
+                    setattr(use_default_negative_prompt,"do_not_save_to_config",True)
+                    with gr.Row():
+                        generate_button = gr.Button(value="Generate", elem_id="generate_button")
+                        clear_button = gr.Button(value="Clear")
+                    with gr.Row():
+                        txt2img = gr.Button("Send to txt2img")
+                        img2img = gr.Button("Send to img2img")
+                    # Create a button to trigger text generation
+                    #txt2img.click(add_to_prompt, inputs=[result_textbox, use_default_negative_prompt], outputs=[txt2img_prompt, txt2img_negative_prompt ]).then(None, _js='switch_to_txt2img',inputs=None, outputs=None)
+                    #img2img.click(add_to_prompt, inputs=[result_textbox, use_default_negative_prompt], outputs=[img2img_prompt, img2img_negative_prompt]).then(None, _js='switch_to_img2img',inputs=None, outputs=None)
+                    txt2img.click(add_to_prompt, inputs=[result_textbox, use_default_negative_prompt, txt2img_prompt, txt2img_negative_prompt], outputs=[txt2img_prompt, txt2img_negative_prompt ])
+                    img2img.click(add_to_prompt, inputs=[result_textbox, use_default_negative_prompt, img2img_prompt, img2img_negative_prompt], outputs=[img2img_prompt, img2img_negative_prompt])
+                    #generate_button = gr.Button(value="Generate", elem_id="generate_button")
+                    #btn_refresh.click(None, _js="window.location.reload()")
+                    clear_button.click(lambda x: [""] * 5, None,
+                    [result_textbox, txt2img_prompt, txt2img_negative_prompt,
+                    img2img_prompt, img2img_negative_prompt])
+
+        # Register the callback for the Generate button
+        generate_button.click(fn=generate_prompt_output, inputs=[category_dropdown, style_dropdown, lightning_dropdown, lens_dropdown, use_default_negative_prompt], outputs=[result_textbox])
+
+        gr.Examples(
+            [
+            ["A lovely cat", "low quality, blur", "Animal", "Drawing", "Bloom light", "F/14"],
+            ["A cute blue boy", "low quality, blur", "Anime", "3D style", "None", "Random"],
+            ],
+            inputs = [txt2img_prompt, txt2img_negative_prompt, category_dropdown, style_dropdown, lightning_dropdown, lens_dropdown]
+        )
+
+    #return (prompt_generator, "Next Diffusion ⚡", "Next Diffusion ⚡"),
+    return prompt_generator
+
+#script_callbacks.on_ui_tabs(on_ui_tabs)
+
+with on_ui_tabs() as demo:
+    pass
+
+demo.launch()