diff --git a/candle-core/src/conv.rs b/candle-core/src/conv.rs
index f92c05b2..8e987664 100644
--- a/candle-core/src/conv.rs
+++ b/candle-core/src/conv.rs
@@ -25,7 +25,6 @@ impl ParamsConv1D {
     }
 }
 
-#[allow(unused)]
 #[derive(Debug, Clone, PartialEq, Eq, Hash)]
 pub enum CudnnFwdAlgo {
     ImplicitGemm,
@@ -51,7 +50,7 @@ pub struct ParamsConv2D {
     pub(crate) padding: usize,
     pub(crate) stride: usize,
     pub(crate) dilation: usize,
-    pub(crate) cudnn_fwd_algo: Option<CudnnFwdAlgo>,
+    pub cudnn_fwd_algo: Option<CudnnFwdAlgo>,
 }
 
 impl ParamsConv2D {
diff --git a/candle-examples/examples/stable-diffusion/main.rs b/candle-examples/examples/stable-diffusion/main.rs
index 74e816d4..d982a209 100644
--- a/candle-examples/examples/stable-diffusion/main.rs
+++ b/candle-examples/examples/stable-diffusion/main.rs
@@ -104,7 +104,6 @@ enum StableDiffusionVersion {
     Xl,
 }
 
-#[allow(unused)]
 #[derive(Debug, Clone, Copy, PartialEq, Eq)]
 enum ModelFile {
     Tokenizer,
diff --git a/candle-examples/examples/wuerstchen/main.rs b/candle-examples/examples/wuerstchen/main.rs
index 6e973e79..54f02114 100644
--- a/candle-examples/examples/wuerstchen/main.rs
+++ b/candle-examples/examples/wuerstchen/main.rs
@@ -1,5 +1,3 @@
-#![allow(unused)]
-
 #[cfg(feature = "accelerate")]
 extern crate accelerate_src;
 
@@ -10,7 +8,7 @@ use candle_transformers::models::stable_diffusion;
 use candle_transformers::models::wuerstchen;
 
 use anyhow::{Error as E, Result};
-use candle::{DType, Device, IndexOp, Module, Tensor, D};
+use candle::{DType, Device, IndexOp, Tensor};
 use clap::Parser;
 use tokenizers::Tokenizer;
 
@@ -80,14 +78,6 @@ struct Args {
     /// The file specifying the tokenizer to used for prior tokenization.
     prior_tokenizer: Option<String>,
 
-    /// The size of the sliced attention or 0 for automatic slicing (disabled by default)
-    #[arg(long)]
-    sliced_attention_size: Option<usize>,
-
-    /// The number of steps to run the diffusion for.
-    #[arg(long, default_value_t = 30)]
-    n_steps: usize,
-
     /// The number of samples to generate.
     #[arg(long, default_value_t = 1)]
     num_samples: i64,
@@ -220,10 +210,8 @@ fn run(args: Args) -> Result<()> {
         cpu,
         height,
         width,
-        n_steps,
         tokenizer,
         final_image,
-        sliced_attention_size,
         num_samples,
         clip_weights,
         prior_weights,
diff --git a/candle-wasm-examples/segment-anything/src/bin/m.rs b/candle-wasm-examples/segment-anything/src/bin/m.rs
index 2be59adc..e550a32f 100644
--- a/candle-wasm-examples/segment-anything/src/bin/m.rs
+++ b/candle-wasm-examples/segment-anything/src/bin/m.rs
@@ -3,7 +3,6 @@ use candle_nn::VarBuilder;
 use candle_wasm_example_sam as sam;
 use wasm_bindgen::prelude::*;
 
-#[allow(unused)]
 struct Embeddings {
     original_width: u32,
     original_height: u32,
diff --git a/candle-wasm-examples/whisper/src/worker.rs b/candle-wasm-examples/whisper/src/worker.rs
index 85272fe7..a8646e3d 100644
--- a/candle-wasm-examples/whisper/src/worker.rs
+++ b/candle-wasm-examples/whisper/src/worker.rs
@@ -84,7 +84,6 @@ pub struct Segment {
     pub dr: DecodingResult,
 }
 
-#[allow(unused)]
 pub struct Decoder {
     model: Model,
     rng: rand::rngs::StdRng,