diff --git a/api/onnx_web/convert/__main__.py b/api/onnx_web/convert/__main__.py
index 16ac5853..283afd94 100644
--- a/api/onnx_web/convert/__main__.py
+++ b/api/onnx_web/convert/__main__.py
@@ -62,8 +62,8 @@ model_converters: Dict[str, Any] = {
     "img2img": convert_diffusion_diffusers,
     "img2img-sdxl": convert_diffusion_diffusers_xl,
     "inpaint": convert_diffusion_diffusers,
-    "txt2img": convert_diffusion_diffusers,
-    "txt2img-optimum": convert_diffusion_diffusers_optimum,
+    "txt2img": convert_diffusion_diffusers_optimum,
+    "txt2img-legacy": convert_diffusion_diffusers,
     "txt2img-sdxl": convert_diffusion_diffusers_xl,
 }
 
diff --git a/api/onnx_web/convert/diffusion/diffusion.py b/api/onnx_web/convert/diffusion/diffusion.py
index 55eb571f..ddb1aa73 100644
--- a/api/onnx_web/convert/diffusion/diffusion.py
+++ b/api/onnx_web/convert/diffusion/diffusion.py
@@ -818,7 +818,7 @@ def convert_diffusion_diffusers_optimum(
             logger.debug("loading VAE from single tensor file: %s", vae_path)
             pipeline.vae = AutoencoderKL.from_single_file(vae_path)
         else:
-            logger.debug("loading VAE from single tensor file: %s", vae_path)
+            logger.debug("loading pretrained VAE from path: %s", replace_vae)
             pipeline.vae = AutoencoderKL.from_pretrained(replace_vae)
 
     if is_torch_2_0: