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app.py

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+import gradio as gr
+from diffusers import StableDiffusionPipeline
+import torch
+
+# Load model
+pipe = StableDiffusionPipeline.from_pretrained(
+    "runwayml/stable-diffusion-v1-5",
+    torch_dtype=torch.float16,
+    revision="fp16"
+)
+pipe.to("cuda")
+
+def generate(prompt):
+    image = pipe(prompt).images[0]
+    return image
+
+# Gradio Interface
+gr.Interface(
+    fn=generate,
+    inputs=gr.Textbox(label="Enter your prompt", placeholder="e.g. A dragon flying over a city"),
+    outputs=gr.Image(type="pil", label="Generated Image"),
+    title="🖼️ Text to Image Generator",
+    description="Enter a prompt and watch it turn into an AI-generated image using Stable Diffusion v1.5"
+).launch()

readme.md

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+# 🖼️ Text to Image Generator
+
+This is a Hugging Face Space using **Gradio** and **Stable Diffusion v1.5** (`runwayml/stable-diffusion-v1-5`) to generate images from text prompts.
+
+## How to Use
+1. Enter a text prompt like `A cat astronaut in space`.
+2. Click `Submit`.
+3. Wait for the image to generate!
+
+Built using:
+- 🤗 Diffusers
+- 🧠 Stable Diffusion v1.5
+- 🌐 Gradio

requirements.txt

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+torch
+diffusers
+transformers
+accelerate
+safetensors
+gradio