1 files changed, 93 insertions, 0 deletions
diff --git a/candle-examples/examples/stable-diffusion-3/vae.rs b/candle-examples/examples/stable-diffusion-3/vae.rs
new file mode 100644
index 00000000..708e472e
--- /dev/null
+++ b/candle-examples/examples/stable-diffusion-3/vae.rs
@@ -0,0 +1,93 @@
+use anyhow::{Ok, Result};
+use candle_transformers::models::stable_diffusion::vae;
+
+pub fn build_sd3_vae_autoencoder(vb: candle_nn::VarBuilder) -> Result<vae::AutoEncoderKL> {
+    let config = vae::AutoEncoderKLConfig {
+        block_out_channels: vec![128, 256, 512, 512],
+        layers_per_block: 2,
+        latent_channels: 16,
+        norm_num_groups: 32,
+        use_quant_conv: false,
+        use_post_quant_conv: false,
+    };
+    Ok(vae::AutoEncoderKL::new(vb, 3, 3, config)?)
+}
+
+pub fn sd3_vae_vb_rename(name: &str) -> String {
+    let parts: Vec<&str> = name.split('.').collect();
+    let mut result = Vec::new();
+    let mut i = 0;
+
+    while i < parts.len() {
+        match parts[i] {
+            "down_blocks" => {
+                result.push("down");
+            }
+            "mid_block" => {
+                result.push("mid");
+            }
+            "up_blocks" => {
+                result.push("up");
+                match parts[i + 1] {
+                    // Reverse the order of up_blocks.
+                    "0" => result.push("3"),
+                    "1" => result.push("2"),
+                    "2" => result.push("1"),
+                    "3" => result.push("0"),
+                    _ => {}
+                }
+                i += 1; // Skip the number after up_blocks.
+            }
+            "resnets" => {
+                if i > 0 && parts[i - 1] == "mid_block" {
+                    match parts[i + 1] {
+                        "0" => result.push("block_1"),
+                        "1" => result.push("block_2"),
+                        _ => {}
+                    }
+                    i += 1; // Skip the number after resnets.
+                } else {
+                    result.push("block");
+                }
+            }
+            "downsamplers" => {
+                result.push("downsample");
+                i += 1; // Skip the 0 after downsamplers.
+            }
+            "conv_shortcut" => {
+                result.push("nin_shortcut");
+            }
+            "attentions" => {
+                if parts[i + 1] == "0" {
+                    result.push("attn_1")
+                }
+                i += 1; // Skip the number after attentions.
+            }
+            "group_norm" => {
+                result.push("norm");
+            }
+            "query" => {
+                result.push("q");
+            }
+            "key" => {
+                result.push("k");
+            }
+            "value" => {
+                result.push("v");
+            }
+            "proj_attn" => {
+                result.push("proj_out");
+            }
+            "conv_norm_out" => {
+                result.push("norm_out");
+            }
+            "upsamplers" => {
+                result.push("upsample");
+                i += 1; // Skip the 0 after upsamplers.
+            }
+            part => result.push(part),
+        }
+        i += 1;
+    }
+    result.join(".")
+}