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index.html

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+import streamlit as st
+from diffusers import StableDiffusionPipeline
+import torch
+
+# Load the model
+model_id = "runwayml/stable-diffusion-v1-5"
+pipe = StableDiffusionPipeline.from_pretrained(model_id)
+pipe = pipe.to("cuda")  # Runs on Hugging Face's GPU servers
+
+# Streamlit UI
+st.title("Free AI Image Generator")
+prompt = st.text_input("Describe your image...")
+
+if prompt:
+    with st.spinner("Generating..."):
+        image = pipe(prompt).images[0]
+        st.image(image, caption=prompt, use_column_width=True)

script.js

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+import streamlit as st
+from diffusers import StableDiffusionPipeline
+import torch
+
+# Load the model
+model_id = "runwayml/stable-diffusion-v1-5"
+pipe = StableDiffusionPipeline.from_pretrained(model_id)
+pipe = pipe.to("cuda")  # Runs on Hugging Face's GPU servers
+
+# Streamlit UI
+st.title("Free AI Image Generator")
+prompt = st.text_input("Describe your image...")
+
+if prompt:
+    with st.spinner("Generating..."):
+        image = pipe(prompt).images[0]
+        st.image(image, caption=prompt, use_column_width=True)

style.css

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+import streamlit as st
+from diffusers import StableDiffusionPipeline
+import torch
+
+# Load the model
+model_id = "runwayml/stable-diffusion-v1-5"
+pipe = StableDiffusionPipeline.from_pretrained(model_id)
+pipe = pipe.to("cuda")  # Runs on Hugging Face's GPU servers
+
+# Streamlit UI
+st.title("Free AI Image Generator")
+prompt = st.text_input("Describe your image...")
+
+if prompt:
+    with st.spinner("Generating..."):
+        image = pipe(prompt).images[0]
+        st.image(image, caption=prompt, use_column_width=True)