Update app.py (#1)

- Update app.py (aaaf406ad5038e1e20b1c844a2fba3e2ecd50f9b)

app.py

@@ -1,38 +1,40 @@
-# app.py
-
-import streamlit as st
-from diffusers import StableDiffusionPipeline
-import torch
-from PIL import Image
-import io
-
-# Load model once
-@st.cache_resource
-def load_model():
-    pipe = StableDiffusionPipeline.from_pretrained(
-        "runwayml/stable-diffusion-v1-5",  # You can change this to another model
-        torch_dtype=torch.float16
-    )
-    return pipe.to("cuda")
-
-# Streamlit app UI
-st.title("🧠 AI Image Generator (Stable Diffusion)")
-st.markdown("Generate original, multidimensional images using Stable Diffusion!")
-
-prompt = st.text_area("Enter your creative prompt:", 
-                      "A multi-dimensional alien city with glowing fractals, floating geometry, cosmic lighting, 8K resolution")
-
-guidance = st.slider("Creativity (Guidance Scale)", 1.0, 20.0, 8.5)
-
-if st.button("Generate Image"):
-    with st.spinner("Generating image..."):
-        pipe = load_model()
-        image = pipe(prompt, guidance_scale=guidance).images[0]
-
-        st.image(image, caption="Generated Image", use_column_width=True)
-
-        # Download button
-        buf = io.BytesIO()
-        image.save(buf, format="PNG")
-        byte_im = buf.getvalue()
-        st.download_button("Download Image", byte_im, "generated.png", "image/png")
+# app.py
+
+import streamlit as st
+from diffusers import StableDiffusionPipeline
+import torch
+from PIL import Image
+import io
+
+# Load model on CPU
+@st.cache_resource
+def load_model():
+    pipe = StableDiffusionPipeline.from_pretrained(
+        "runwayml/stable-diffusion-v1-5",  # You can change to another model if needed
+        torch_dtype=torch.float32          # Use float32 on CPU
+    )
+    return pipe.to("cpu")
+
+# Streamlit UI
+st.title("🧠 AI Image Generator (CPU-Compatible)")
+st.markdown("Generate original, multidimensional images using Stable Diffusion — no GPU required!")
+
+# Prompt and settings
+prompt = st.text_area("Enter your creative prompt:", 
+                      "A multi-dimensional alien city with glowing fractals, floating geometry, cosmic lighting, 8K resolution")
+
+guidance = st.slider("Creativity (Guidance Scale)", 1.0, 20.0, 8.5)
+
+# Generate button
+if st.button("Generate Image"):
+    with st.spinner("Generating image. This may take a few minutes on CPU..."):
+        pipe = load_model()
+        image = pipe(prompt, guidance_scale=guidance).images[0]
+
+        st.image(image, caption="Generated Image", use_column_width=True)
+
+        # Save for download
+        buf = io.BytesIO()
+        image.save(buf, format="PNG")
+        byte_im = buf.getvalue()
+        st.download_button("Download Image", byte_im, "generated.png", "image/png")