Update app.py

app.py

@@ -1,111 +1,84 @@
-import gradio as gr
-from model import models
-from multit2i import (load_models, infer_fn, infer_rand_fn, save_gallery,
-    change_model, warm_model, get_model_info_md, loaded_models,
-    get_positive_prefix, get_positive_suffix, get_negative_prefix, get_negative_suffix,
-    get_recom_prompt_type, set_recom_prompt_preset, get_tag_type, randomize_seed, translate_to_en)
-
-max_images = 6
-MAX_SEED = 2**32-1
-load_models(models)
-
-css = """
-.model_info { text-align: center; }
-.output { width=112px; height=112px; max_width=112px; max_height=112px; !important; }
-.gallery { min_width=512px; min_height=512px; max_height=1024px; !important; }
-"""
-
-with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", fill_width=True, css=css) as demo:
-    with gr.Row():
-        with gr.Column(scale=10): 
-            with gr.Group():
-                prompt = gr.Text(label="Prompt", lines=2, max_lines=8, placeholder="1girl, solo, ...", show_copy_button=True)
-                with gr.Accordion("Advanced options", open=False):
-                    neg_prompt = gr.Text(label="Negative Prompt", lines=1, max_lines=8, placeholder="")
-                    with gr.Row():
-                        width = gr.Slider(label="Width", info="If 0, the default value is used.", maximum=1216, step=32, value=0)
-                        height = gr.Slider(label="Height", info="If 0, the default value is used.", maximum=1216, step=32, value=0)
-                        steps = gr.Slider(label="Number of inference steps", info="If 0, the default value is used.", maximum=100, step=1, value=0)
-                    with gr.Row():
-                        cfg = gr.Slider(label="Guidance scale", info="If 0, the default value is used.", maximum=30.0, step=0.1, value=0)
-                        seed = gr.Slider(label="Seed", info="Randomize Seed if -1.", minimum=-1, maximum=MAX_SEED, step=1, value=-1)
-                        seed_rand = gr.Button("Randomize Seed 🎲", size="sm", variant="secondary")
-                    recom_prompt_preset = gr.Radio(label="Set Presets", choices=get_recom_prompt_type(), value="Common")
-                    with gr.Row():
-                        positive_prefix = gr.CheckboxGroup(label="Use Positive Prefix", choices=get_positive_prefix(), value=[])
-                        positive_suffix = gr.CheckboxGroup(label="Use Positive Suffix", choices=get_positive_suffix(), value=["Common"])
-                        negative_prefix = gr.CheckboxGroup(label="Use Negative Prefix", choices=get_negative_prefix(), value=[])
-                        negative_suffix = gr.CheckboxGroup(label="Use Negative Suffix", choices=get_negative_suffix(), value=["Common"])
-                with gr.Row():
-                    image_num = gr.Slider(label="Number of images", minimum=1, maximum=max_images, value=1, step=1, interactive=True, scale=2)
-                    trans_prompt = gr.Button(value="Translate 📝", variant="secondary", size="sm", scale=2)
-                    clear_prompt = gr.Button(value="Clear 🗑️", variant="secondary", size="sm", scale=1)
-            with gr.Row():
-                run_button = gr.Button("Generate Image", variant="primary", scale=6)
-                random_button = gr.Button("Random Model 🎲", variant="secondary", scale=3)
-                #stop_button = gr.Button('Stop', interactive=False, variant="stop", scale=1)
-            with gr.Group():
-                model_name = gr.Dropdown(label="Select Model", choices=list(loaded_models.keys()), value=list(loaded_models.keys())[0], allow_custom_value=True)
-                model_info = gr.Markdown(value=get_model_info_md(list(loaded_models.keys())[0]), elem_classes="model_info")
-        with gr.Column(scale=10): 
-            with gr.Group():
-                with gr.Row():
-                    output = [gr.Image(label='', elem_classes="output", type="filepath", format="png",
-                            show_download_button=True, show_share_button=False, show_label=False,
-                            interactive=False, min_width=80, visible=True) for _ in range(max_images)]
-            with gr.Group():
-                results = gr.Gallery(label="Gallery", elem_classes="gallery", interactive=False, show_download_button=True, show_share_button=False,
-                                    container=True, format="png", object_fit="cover", columns=2, rows=2)
-                image_files = gr.Files(label="Download", interactive=False)
-                clear_results = gr.Button("Clear Gallery / Download 🗑️", variant="secondary")
-    with gr.Column():
-        examples = gr.Examples(
-            examples = [
-                ["souryuu asuka langley, 1girl, neon genesis evangelion, plugsuit, pilot suit, red bodysuit, sitting, crossing legs, black eye patch, cat hat, throne, symmetrical, looking down, from bottom, looking at viewer, outdoors"],
-                ["sailor moon, magical girl transformation, sparkles and ribbons, soft pastel colors, crescent moon motif, starry night sky background, shoujo manga style"],
-                ["kafuu chino, 1girl, solo"],
-                ["1girl"],
-                ["beautiful sunset"],
-            ],
-            inputs=[prompt],
-        )
-        gr.Markdown(
-            f"""This demo was created in reference to the following demos.<br>
-    [Nymbo/Flood](https://huggingface.co/spaces/Nymbo/Flood), 
-    [Yntec/ToyWorldXL](https://huggingface.co/spaces/Yntec/ToyWorldXL), 
-    [Yntec/Diffusion80XX](https://huggingface.co/spaces/Yntec/Diffusion80XX).
-                """
-        )
-        gr.DuplicateButton(value="Duplicate Space")
-        gr.Markdown(f"Just a few edits to *model.py* are all it takes to complete your own collection.")
-
-    #gr.on(triggers=[run_button.click, prompt.submit, random_button.click], fn=lambda: gr.update(interactive=True), inputs=None, outputs=stop_button, show_api=False)
-    model_name.change(change_model, [model_name], [model_info], queue=False, show_api=False)\
-    .success(warm_model, [model_name], None, queue=False, show_api=False)
-    for i, o in enumerate(output):
-        img_i = gr.Number(i, visible=False)
-        image_num.change(lambda i, n: gr.update(visible = (i < n)), [img_i, image_num], o, show_api=False)
-        gen_event = gr.on(triggers=[run_button.click, prompt.submit],
-         fn=lambda i, n, m, t1, t2, n1, n2, n3, n4, n5, l1, l2, l3, l4: infer_fn(m, t1, t2, n1, n2, n3, n4, n5, l1, l2, l3, l4) if (i < n) else None,
-         inputs=[img_i, image_num, model_name, prompt, neg_prompt, height, width, steps, cfg, seed,
-                  positive_prefix, positive_suffix, negative_prefix, negative_suffix],
-         outputs=[o], queue=False, show_api=False) # Be sure to delete ", queue=False" when activating the stop button
-        gen_event2 = gr.on(triggers=[random_button.click],
-         fn=lambda i, n, m, t1, t2, n1, n2, n3, n4, n5, l1, l2, l3, l4: infer_rand_fn(m, t1, t2, n1, n2, n3, n4, n5, l1, l2, l3, l4) if (i < n) else None,
-         inputs=[img_i, image_num, model_name, prompt, neg_prompt, height, width, steps, cfg, seed,
-                  positive_prefix, positive_suffix, negative_prefix, negative_suffix],
-         outputs=[o], queue=False, show_api=False) # Be sure to delete ", queue=False" when activating the stop button
-        o.change(save_gallery, [o, results], [results, image_files], show_api=False)
-        #stop_button.click(lambda: gr.update(interactive=False), None, stop_button, cancels=[gen_event, gen_event2], show_api=False)
-
-    clear_prompt.click(lambda: None, None, [prompt], queue=False, show_api=False)
-    clear_results.click(lambda: (None, None), None, [results, image_files], queue=False, show_api=False)
-    recom_prompt_preset.change(set_recom_prompt_preset, [recom_prompt_preset],
-     [positive_prefix, positive_suffix, negative_prefix, negative_suffix], queue=False, show_api=False)
-    seed_rand.click(randomize_seed, None, [seed], queue=False, show_api=False)
-    trans_prompt.click(translate_to_en, [prompt], [prompt], queue=False, show_api=False)\
-    .then(translate_to_en, [neg_prompt], [neg_prompt], queue=False, show_api=False)
-
-demo.queue(default_concurrency_limit=200, max_size=200)
-demo.launch(max_threads=400)
-# https://github.com/gradio-app/gradio/issues/6339
+import argparse
+import random
+from model import models
+from multit2i import (load_models, infer_fn, infer_rand_fn, save_gallery, change_model,
+                      warm_model, get_model_info_md, loaded_models, get_positive_prefix, get_positive_suffix,
+                      get_negative_prefix, get_negative_suffix, get_recom_prompt_type, set_recom_prompt_preset,
+                      randomize_seed, translate_to_en)
+
+MAX_SEED = 2**32 - 1
+max_images = 6
+
+def generate_image(args):
+    load_models(models)
+    
+    model_name = args.model_name
+    prompt = args.prompt
+    neg_prompt = args.neg_prompt
+    width = args.width
+    height = args.height
+    steps = args.steps
+    cfg = args.cfg
+    seed = args.seed if args.seed != -1 else random.randint(0, MAX_SEED)
+    
+    positive_prefix = args.positive_prefix
+    positive_suffix = args.positive_suffix
+    negative_prefix = args.negative_prefix
+    negative_suffix = args.negative_suffix
+
+    images = infer_fn(
+        model_name, prompt, neg_prompt, height, width, steps, cfg, seed,
+        positive_prefix, positive_suffix, negative_prefix, negative_suffix
+    )
+    
+    save_gallery(images, args.output)
+
+def random_model_image(args):
+    load_models(models)
+    
+    model_name = random.choice(list(loaded_models.keys()))
+    prompt = args.prompt
+    neg_prompt = args.neg_prompt
+    width = args.width
+    height = args.height
+    steps = args.steps
+    cfg = args.cfg
+    seed = random.randint(0, MAX_SEED)
+    
+    positive_prefix = args.positive_prefix
+    positive_suffix = args.positive_suffix
+    negative_prefix = args.negative_prefix
+    negative_suffix = args.negative_suffix
+
+    images = infer_rand_fn(
+        model_name, prompt, neg_prompt, height, width, steps, cfg, seed,
+        positive_prefix, positive_suffix, negative_prefix, negative_suffix
+    )
+    
+    save_gallery(images, args.output)
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(description="Image generation script using preloaded models.")
+
+    parser.add_argument('--model_name', type=str, default=list(loaded_models.keys())[0], help='The model to use for image generation.')
+    parser.add_argument('--prompt', type=str, required=True, help='The prompt for image generation.')
+    parser.add_argument('--neg_prompt', type=str, default="", help='Negative prompt to avoid unwanted elements.')
+    parser.add_argument('--width', type=int, default=0, help='Image width, 0 for default.')
+    parser.add_argument('--height', type=int, default=0, help='Image height, 0 for default.')
+    parser.add_argument('--steps', type=int, default=0, help='Number of inference steps.')
+    parser.add_argument('--cfg', type=float, default=0, help='Guidance scale (CFG).')
+    parser.add_argument('--seed', type=int, default=-1, help='Random seed, -1 for random.')
+    parser.add_argument('--output', type=str, default="output_gallery", help='Output directory for generated images.')
+    parser.add_argument('--positive_prefix', nargs='*', default=[], help='Positive prefix for the prompt.')
+    parser.add_argument('--positive_suffix', nargs='*', default=["Common"], help='Positive suffix for the prompt.')
+    parser.add_argument('--negative_prefix', nargs='*', default=[], help='Negative prefix for the prompt.')
+    parser.add_argument('--negative_suffix', nargs='*', default=["Common"], help='Negative suffix for the prompt.')
+    
+    parser.add_argument('--random_model', action='store_true', help='Use random model for image generation.')
+
+    args = parser.parse_args()
+
+    if args.random_model:
+        random_model_image(args)
+    else:
+        generate_image(args)