diff --git a/CHANGELOG.md b/CHANGELOG.md
index 5a4065bb2..188f7d2ef 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -25,7 +25,8 @@ And few video related goodies...
 
 Plus tons of other items and fixes - see [changelog](https://github.com/vladmandic/automatic/blob/master/CHANGELOG.md) for details!  
 Examples:
-- Built-in prompt-enhancer, TAESD optimizations, new DC-Solver scheduler, global XYZ grid management, etc.
+- Built-in prompt-enhancer, TAESD optimizations, new DC-Solver scheduler, global XYZ grid management, etc.  
+- Updates to ZLUDA, IPEX, OpenVINO...
 
 ### Details for 2024-09-13
 
@@ -131,7 +132,7 @@ Examples:
   - [MiaoshouAI PromptGen 1.5 Large](https://huggingface.co/MiaoshouAI/Florence-2-large-PromptGen-v1.5)
   - [CogFlorence 2.2 Large](https://huggingface.co/thwri/CogFlorence-2.2-Large)
 - **modernui** update  
-- **zluda** update to 3.8.4, thanks @lshqqytiger
+- **zluda** update to 3.8.4, thanks @lshqqytiger!
 - **ipex** update to 2.3.110+xpu on linux, thanks @Disty0!
 - **openvino** update to 2024.3.0, thanks @Disty0!
 - update `requirements`
@@ -141,6 +142,7 @@ Examples:
 - fix model path typos  
 - fix guidance end handler  
 - fix script sorting  
+- fix vae dtype during load  
 - fix all ui labels are unique
 
 ## Update for 2024-08-31
diff --git a/TODO.md b/TODO.md
index 61efd092f..5726e67da 100644
--- a/TODO.md
+++ b/TODO.md
@@ -4,12 +4,9 @@ Main ToDo list can be found at [GitHub projects](https://github.com/users/vladma
 
 ## Future Candidates
 
-- animatediff prompt-travel: <https://github.com/huggingface/diffusers/pull/9231>
 - async lowvram: <https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14855>
 - fp8: <https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14031>
 - ipadapter-negative: https://github.com/huggingface/diffusers/discussions/7167
-- hd-painter: https://github.com/huggingface/diffusers/blob/main/examples/community/README.md#hd-painter
-- init latents: variations, img2img
 - include reference styles
 
 ### Missing
diff --git a/modules/processing_vae.py b/modules/processing_vae.py
index 8e9063b89..9ab4acad9 100644
--- a/modules/processing_vae.py
+++ b/modules/processing_vae.py
@@ -83,9 +83,8 @@ def full_vae_decode(latents, model):
         sd_models.move_base(model, base_device)
     t1 = time.time()
     if debug:
-        log_debug(f'VAE config: {model.vae.config}')
         log_debug(f'VAE memory: {shared.mem_mon.read()}')
-    log_debug(f'VAE decode: name={sd_vae.loaded_vae_file if sd_vae.loaded_vae_file is not None else "baked"} dtype={model.vae.dtype} upcast={upcast} images={latents.shape[0]} latents={latents.shape} time={round(t1-t0, 3)}')
+    log_debug(f'VAE decode: name={sd_vae.loaded_vae_file if sd_vae.loaded_vae_file is not None else "baked"} dtype={model.vae.dtype} upcast={upcast} slicing={getattr(model.vae, "use_slicing", None)} tiling={getattr(model.vae, "use_tiling", None)} images={latents.shape[0]} latents={latents.shape} time={round(t1-t0, 3)}')
     return decoded
 
 
diff --git a/modules/sd_vae.py b/modules/sd_vae.py
index 107b6fc94..bfe9807ad 100644
--- a/modules/sd_vae.py
+++ b/modules/sd_vae.py
@@ -192,7 +192,6 @@ def load_vae_diffusers(model_file, vae_file=None, vae_source="unknown-source"):
     if not os.path.exists(vae_file):
         shared.log.error(f'VAE not found: model{vae_file}')
         return None
-    shared.log.info(f"Loading VAE: model={vae_file} source={vae_source}")
     diffusers_load_config = {
         "low_cpu_mem_usage": False,
         "torch_dtype": devices.dtype_vae,
@@ -207,16 +206,14 @@ def load_vae_diffusers(model_file, vae_file=None, vae_source="unknown-source"):
         diffusers_load_config['variant'] = shared.opts.diffusers_vae_load_variant
     if shared.opts.diffusers_vae_upcast != 'default':
         diffusers_load_config['force_upcast'] = True if shared.opts.diffusers_vae_upcast == 'true' else False
-    shared.log.debug(f'Diffusers VAE load config: {diffusers_load_config}')
+    _pipeline, model_type = sd_models.detect_pipeline(model_file, 'vae')
+    vae_config = sd_models.get_load_config(model_file, model_type, config_type='json')
+    if vae_config is not None:
+        diffusers_load_config['config'] = os.path.join(vae_config, 'vae')
+    shared.log.info(f'Load VAE: model="{vae_file}" source={vae_source} config={diffusers_load_config}')
     try:
         import diffusers
         if os.path.isfile(vae_file):
-            _pipeline, model_type = sd_models.detect_pipeline(model_file, 'vae')
-            vae_config = sd_models.get_load_config(model_file, model_type, config_type='json')
-            if vae_config is not None:
-                diffusers_load_config = {
-                    "config": os.path.join(vae_config, 'vae'),
-                }
             if os.path.getsize(vae_file) > 1310944880: # 1.3GB
                 vae = diffusers.ConsistencyDecoderVAE.from_pretrained('openai/consistency-decoder', **diffusers_load_config) # consistency decoder does not have from single file, so we'll just download it once more
             elif os.path.getsize(vae_file) < 10000000: # 10MB