Spaces:
Running
on
Zero
Running
on
Zero
| import gradio as gr | |
| import torch | |
| # Transformers์ ํ์ดํ๋ผ์ธ์ ์ด์ฉํด ๋ฒ์ญ์ฉ ํ์ดํ๋ผ์ธ ๋ก๋ | |
| from transformers import pipeline as translation_pipeline | |
| translator = translation_pipeline("translation", model="Helsinki-NLP/opus-mt-ko-en", device="cpu") | |
| # Diffusers ๋ชจ๋ธ ๋ก๋ | |
| from diffusers import DiffusionPipeline | |
| model_id = "black-forest-labs/FLUX.1-schnell" | |
| pipe = DiffusionPipeline.from_pretrained( | |
| model_id, | |
| torch_dtype=torch.float32 | |
| ).to("cpu") # CPU ์ฌ์ฉ | |
| def translate_prompt_if_korean(prompt_text: str) -> str: | |
| if any("๊ฐ" <= ch <= "ํฃ" for ch in prompt_text): | |
| result = translator(prompt_text) | |
| return result[0]['translation_text'] | |
| return prompt_text | |
| def generate_storyboard( | |
| prompt, | |
| width=768, | |
| height=512, | |
| num_inference_steps=10, | |
| guidance_scale=7.5, | |
| seed=42 | |
| ): | |
| # ๋ฒ์ญ ์ฒ๋ฆฌ (ํ๊ธ -> ์์ด) | |
| prompt_en = translate_prompt_if_korean(prompt) | |
| # ์๋ ์์ฑ | |
| generator = torch.Generator(device="cpu").manual_seed(seed) | |
| # ์ด๋ฏธ์ง ์์ฑ | |
| with torch.autocast("cpu"): | |
| result = pipe( | |
| prompt=prompt_en, | |
| width=width, | |
| height=height, | |
| num_inference_steps=num_inference_steps, | |
| guidance_scale=guidance_scale, | |
| generator=generator | |
| ).images[0] | |
| return result | |
| # --- ๋น์ฃผ์ผ & ์ธ๋ จ๋ UI๋ฅผ ์ํ CSS --- | |
| custom_css = """ | |
| #title { | |
| text-align: center; | |
| font-size: 3em; | |
| font-weight: bold; | |
| margin: 20px 0; | |
| color: #333; | |
| } | |
| #subtitle { | |
| text-align: center; | |
| color: #666; | |
| margin-bottom: 30px; | |
| font-size: 1.2em; | |
| } | |
| .gradio-container { | |
| background: linear-gradient(120deg, #f8f8f8 0%, #ffffff 100%); | |
| } | |
| .input-panel, .output-panel { | |
| background: white; | |
| border-radius: 12px; | |
| padding: 20px; | |
| box-shadow: 0 2px 10px rgba(0,0,0,0.1); | |
| } | |
| #prompt-input { | |
| font-size: 14px !important; | |
| min-height: 140px !important; | |
| } | |
| .advanced-settings { | |
| font-size: 0.9em; | |
| color: #444; | |
| } | |
| .example-box { | |
| background: #f9f9f9; | |
| padding: 10px; | |
| margin-top: 10px; | |
| border-radius: 8px; | |
| } | |
| """ | |
| with gr.Blocks(css=custom_css) as demo: | |
| gr.Markdown("<div id='title'>Gini Storyboard</div>") | |
| gr.Markdown("<div id='subtitle'>Generate a hand-drawn style storyboard in black & white film noir or any style you wish!</div>") | |
| with gr.Row(): | |
| with gr.Column(elem_classes="input-panel", scale=1): | |
| prompt = gr.Textbox( | |
| label="Storyboard Prompt", | |
| placeholder="Enter your scene descriptions here (in English or Korean)", | |
| lines=8, | |
| elem_id="prompt-input" | |
| ) | |
| seed = gr.Slider( | |
| label="Seed", | |
| value=42, | |
| minimum=0, | |
| maximum=999999, | |
| step=1 | |
| ) | |
| with gr.Row(): | |
| width = gr.Slider( | |
| label="Width", | |
| minimum=256, | |
| maximum=1280, | |
| value=768, | |
| step=64 | |
| ) | |
| height = gr.Slider( | |
| label="Height", | |
| minimum=256, | |
| maximum=1280, | |
| value=512, | |
| step=64 | |
| ) | |
| with gr.Accordion("Advanced Settings", open=False, elem_classes="advanced-settings"): | |
| num_inference_steps = gr.Slider( | |
| label="Number of inference steps", | |
| value=10, | |
| minimum=1, | |
| maximum=50, | |
| step=1 | |
| ) | |
| guidance_scale = gr.Slider( | |
| label="Guidance Scale", | |
| value=7.5, | |
| minimum=0.0, | |
| maximum=20.0, | |
| step=0.5 | |
| ) | |
| run_button = gr.Button("Generate Storyboard", variant="primary") | |
| with gr.Column(elem_classes="output-panel", scale=1): | |
| result = gr.Image(label="Storyboard Result") | |
| # ์์ ํ๋กฌํํธ | |
| gr.Markdown("### Example Prompt") | |
| # โ Box๊ฐ ์๋ Group์ผ๋ก ๋ณ๊ฒฝ | |
| with gr.Group(elem_classes="example-box"): | |
| example_text = ( | |
| "A hand-drawn storyboard style, film noir theme, black and white.\n" | |
| "SCENE 1: A detective enters a dark alley [Frame 1]\n" | |
| "SCENE 2: He notices a shadow [Frame 2]\n" | |
| "SCENE 3: A sudden flash of light reveals a clue [Frame 3]" | |
| ) | |
| gr.Markdown(f"```\n{example_text}\n```") | |
| example_button = gr.Button("Use Example") | |
| def load_example(): | |
| return example_text | |
| example_button.click(fn=load_example, outputs=[prompt]) | |
| run_button.click( | |
| fn=generate_storyboard, | |
| inputs=[prompt, width, height, num_inference_steps, guidance_scale, seed], | |
| outputs=[result] | |
| ) | |
| # ์ํฐ๋ก ์ ์ถ ์์๋ ์คํ | |
| prompt.submit( | |
| fn=generate_storyboard, | |
| inputs=[prompt, width, height, num_inference_steps, guidance_scale, seed], | |
| outputs=[result] | |
| ) | |
| if __name__ == "__main__": | |
| demo.queue() | |
| demo.launch(server_name="0.0.0.0", server_port=7860, share=False) | |