2 files changed, 25 insertions, 6 deletions
diff --git a/candle-examples/examples/stable-diffusion/main.rs b/candle-examples/examples/stable-diffusion/main.rs
index 8bb3c56d..8ce0c234 100644
--- a/candle-examples/examples/stable-diffusion/main.rs
+++ b/candle-examples/examples/stable-diffusion/main.rs
@@ -245,10 +245,10 @@ fn run(args: Args) -> Result<()> {
             if args.intermediary_images {
                 let image = vae.decode(&(&latents / 0.18215)?)?;
                 let image = ((image / 2.)? + 0.5)?.to_device(&Device::Cpu)?;
-                let _image = (image * 255.)?.to_dtype(DType::U8);
-                let _image_filename =
+                let image = (image * 255.)?.to_dtype(DType::U8)?;
+                let image_filename =
                     output_filename(&final_image, idx + 1, num_samples, Some(timestep_index + 1));
-                // TODO: save igame
+                crate::utils::save_image(&image, image_filename)?
             }
         }
 
@@ -260,9 +260,9 @@ fn run(args: Args) -> Result<()> {
         let image = vae.decode(&(&latents / 0.18215)?)?;
         // TODO: Add the clamping between 0 and 1.
         let image = ((image / 2.)? + 0.5)?.to_device(&Device::Cpu)?;
-        let _image = (image * 255.)?.to_dtype(DType::U8);
-        let _image_filename = output_filename(&final_image, idx + 1, num_samples, None);
-        // TODO: save image.
+        let image = (image * 255.)?.to_dtype(DType::U8)?;
+        let image_filename = output_filename(&final_image, idx + 1, num_samples, None);
+        crate::utils::save_image(&image, image_filename)?
     }
     Ok(())
 }
diff --git a/candle-examples/examples/stable-diffusion/utils.rs b/candle-examples/examples/stable-diffusion/utils.rs
index 0c95cfef..ef4dd956 100644
--- a/candle-examples/examples/stable-diffusion/utils.rs
+++ b/candle-examples/examples/stable-diffusion/utils.rs
@@ -10,3 +10,22 @@ pub fn linspace(start: f64, stop: f64, steps: usize) -> Result<Tensor> {
         .collect::<Vec<_>>();
     Tensor::from_vec(vs, steps, &Device::Cpu)
 }
+
+/// Saves an image to disk using the image crate, this expects an input with shape
+/// (c, width, height).
+pub fn save_image<P: AsRef<std::path::Path>>(img: &Tensor, p: P) -> Result<()> {
+    let p = p.as_ref();
+    let (channel, width, height) = img.dims3()?;
+    if channel != 3 {
+        candle::bail!("save_image expects an input of shape (3, width, height)")
+    }
+    let img = img.transpose(0, 1)?.t()?.flatten_all()?;
+    let pixels = img.to_vec1::<u8>()?;
+    let image: image::ImageBuffer<image::Rgb<u8>, Vec<u8>> =
+        match image::ImageBuffer::from_raw(width as u32, height as u32, pixels) {
+            Some(image) => image,
+            None => candle::bail!("error saving image {p:?}"),
+        };
+    image.save(p).map_err(candle::Error::wrap)?;
+    Ok(())
+}