Create app-backup.py

app-backup.py

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+import gradio as gr
+import numpy as np
+import random
+import spaces
+import torch
+from diffusers import DiffusionPipeline
+from transformers import pipeline
+
+# 번역 파이프라인 및 하드웨어 설정
+device = "cuda" if torch.cuda.is_available() else "cpu"
+translator = pipeline("translation", model="Helsinki-NLP/opus-mt-ko-en", device=device)
+
+dtype = torch.bfloat16
+pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", torch_dtype=dtype).to(device)
+
+MAX_SEED = np.iinfo(np.int32).max
+MAX_IMAGE_SIZE = 2048
+
+@spaces.GPU()
+def infer(prompt, seed=42, randomize_seed=False, width=1024, height=1024, num_inference_steps=4, progress=gr.Progress(track_tqdm=True)):
+    if randomize_seed:
+        seed = random.randint(0, MAX_SEED)
+    generator = torch.Generator().manual_seed(seed)
+
+    # 한글 입력 감지 및 번역
+    if any('\uAC00' <= char <= '\uD7A3' for char in prompt):
+        print("Translating Korean prompt...")
+        translated_prompt = translator(prompt, max_length=512)[0]['translation_text']
+        print("Translated prompt:", translated_prompt)
+        prompt = translated_prompt
+
+    image = pipe(
+            prompt = prompt,
+            width = width,
+            height = height,
+            num_inference_steps = num_inference_steps,
+            generator = generator,
+            guidance_scale=0.0
+    ).images[0]
+    return image, seed
+
+examples = [
+    ["Create a new logo for a [Color Tone: Blue] [Design Concept: ROCKET] [Text: 'WORLD'] [Background: BLUE COLOR]"],
+    ["Create a new logo for a [Color Tone: Blue] [Design Concept: UNIVERSE] [Text: 'COCA COLA'] [Background: COLORFUL]"],   
+    ["simple futuristic logo kamikaze drone on a shield, minimalistic, vector, 2D, simple lines, White background --v 4"],
+    ["Create a new logo for a [Color Tone: Blue] [Design Concept: MOUNTAIN] [Text: 'abc@gmail.com'] [Background: RED COLOR] "],
+    ["Create a new logo for a [Color Tone: Blue] [Design Concept: HUMAN] [Text: 'ABC.COM'] [Background: YELLOW COLOR] "],
+    ["Create a new logo for a [Color Tone: Blue] [Design Concept: HOUSE] [Text: 'T.010-1234-1234'] [Background: COLORFUL] "],    
+    ["Create a new logo for a [Color Tone: Blue] [Design Concept: LION] [Text: 'SOCCER CLUB'] [Background: GREEN COLOR]"]
+]
+
+css = """
+footer {
+    visibility: hidden;
+}
+"""
+
+with gr.Blocks(theme="Nymbo/Nymbo_Theme", css=css) as demo:
+    with gr.Column(elem_id="col-container"):
+        with gr.Row():
+            prompt = gr.Text(
+                label="Prompt",
+                show_label=False,
+                max_lines=1,
+                placeholder="Enter your prompt",
+                container=False,
+                elem_id="prompt"
+            )
+
+            run_button = gr.Button("Run", scale=0)
+
+        result = gr.Image(label="Result", show_label=False, elem_id="result")
+
+        with gr.Accordion("Advanced Settings", open=False, elem_id="advanced-settings"):
+            seed = gr.Slider(
+                label="Seed",
+                minimum=0,
+                maximum=MAX_SEED,
+                step=1,
+                value=0,
+            )
+
+            randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
+
+            with gr.Row():
+                width = gr.Slider(
+                    label="Width",
+                    minimum=256,
+                    maximum=MAX_IMAGE_SIZE,
+                    step=32,
+                    value=512,
+                )
+
+                height = gr.Slider(
+                    label="Height",
+                    minimum=256,
+                    maximum=MAX_IMAGE_SIZE,
+                    step=32,
+                    value=512,
+                )
+
+            with gr.Row():
+                num_inference_steps = gr.Slider(
+                    label="Number of inference steps",
+                    minimum=1,
+                    maximum=50,
+                    step=1,
+                    value=4,
+                )
+
+        gr.Examples(
+            examples=examples,
+            fn=infer,
+            inputs=[prompt],
+            outputs=[result, seed],
+            cache_examples="lazy"
+        )
+
+        gr.on(
+            triggers=[run_button.click, prompt.submit],
+            fn=infer,
+            inputs=[prompt, seed, randomize_seed, width, height, num_inference_steps],
+            outputs=[result, seed]
+        )
+
+demo.launch()