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README.md

@@ -1,14 +1,4 @@
----
-title: Yu
-emoji: 🐢
-colorFrom: pink
-colorTo: pink
-sdk: gradio
-sdk_version: 5.31.0
-app_file: app.py
-pinned: false
-license: apache-2.0
-short_description: sheng
----
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# AI 图文生成器：支持上传CSV批量生成图文，也支持文本转图片
+
+本项目使用 SDXL 模型，生成高清图像，支持上传提示词批量生成，也支持输入提示词生成单图。

app.py

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+
+import gradio as gr
+import pandas as pd
+import torch
+from diffusers import StableDiffusionXLPipeline
+from PIL import Image
+import os
+import zipfile
+
+# 加载模型（GPU环境）
+pipe = StableDiffusionXLPipeline.from_pretrained(
+    "stabilityai/stable-diffusion-xl-base-1.0",
+    torch_dtype=torch.float16,
+    variant="fp16"
+).to("cuda")
+
+# 文本模板生成函数
+def generate_text(prompt):
+    return f"这是一幅描绘：{prompt} 的画面，小朋友可以根据图像发挥想象力哦！"
+
+# 模式一：处理CSV并生成图文ZIP
+def process_csv(file):
+    df = pd.read_csv(file.name)
+    output_dir = "output"
+    os.makedirs(output_dir, exist_ok=True)
+
+    for idx, row in df.iterrows():
+        prompt = row["prompt"]
+        image = pipe(prompt=prompt).images[0]
+        image_path = os.path.join(output_dir, f"image_{idx+1}.png")
+        image.save(image_path)
+
+        text = generate_text(prompt)
+        text_path = os.path.join(output_dir, f"text_{idx+1}.txt")
+        with open(text_path, "w") as f:
+            f.write(text)
+
+    # 打包ZIP
+    zip_path = "output.zip"
+    with zipfile.ZipFile(zip_path, "w") as zipf:
+        for file_name in os.listdir(output_dir):
+            file_path = os.path.join(output_dir, file_name)
+            zipf.write(file_path, arcname=file_name)
+    return zip_path
+
+# 模式二：文本转图片
+def text_to_image(prompt):
+    image = pipe(prompt=prompt).images[0]
+    return image
+
+# Gradio界面
+with gr.Blocks() as demo:
+    gr.Markdown("## 🤖 AI 图文生成器 - 批量 & 单图模式")
+
+    with gr.Tab("📂 批量生成（上传CSV）"):
+        csv_input = gr.File(label="上传CSV文件", file_types=[".csv"])
+        csv_output = gr.File(label="生成图文ZIP包")
+        csv_btn = gr.Button("开始生成")
+        csv_btn.click(fn=process_csv, inputs=csv_input, outputs=csv_output)
+
+    with gr.Tab("🖼️ 单图生成（文本转图片）"):
+        prompt_input = gr.Textbox(label="输入提示词", placeholder="比如：一只飞翔在太空的小猫咪")
+        image_output = gr.Image(label="生成的图像", type="pil")
+        single_btn = gr.Button("立即生成")
+        single_btn.click(fn=text_to_image, inputs=prompt_input, outputs=image_output)
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+
+gradio
+pandas
+torch==2.1.0
+diffusers==0.27.2
+transformers==4.40.0
+accelerate==0.28.0
+safetensors
+pillow