From 9bbfd53ad0b646db7fe0fcb6ee1a324f2a507930 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?St=C3=A9phane=20du=20Hamel?= <stephduh@live.fr>
Date: Fri, 22 May 2026 17:42:07 +0200
Subject: [PATCH] ltx: fix vae or tae preview support

---
 src/stable-diffusion.cpp | 34 ++++++++++++++--------------------
 1 file changed, 14 insertions(+), 20 deletions(-)

diff --git a/src/stable-diffusion.cpp b/src/stable-diffusion.cpp
index eb6845b46..aabe3ddc3 100644
--- a/src/stable-diffusion.cpp
+++ b/src/stable-diffusion.cpp
@@ -1610,23 +1610,18 @@ class StableDiffusionGGML {
                        std::function<void(int, int, sd_image_t*, bool, void*)> step_callback,
                        void* step_callback_data,
                        bool is_noisy) {
+        bool is_video = preview_latent_tensor_is_video(latents);
+        uint32_t dim  = is_video ? static_cast<uint32_t>(latents.shape()[3]) : static_cast<uint32_t>(latents.shape()[2]);
+        int channels  = get_latent_channel();
+        auto _latents = channels != dim ? is_video ? sd::ops::slice(latents, 3, 0, channels)
+                                                   : sd::ops::slice(latents, 2, 0, channels)
+                                        : latents;
         if (preview_mode == PREVIEW_PROJ) {
-            sd::Tensor<float> _latents       = latents;
             int patch_sz                     = 1;
             const float(*latent_rgb_proj)[3] = nullptr;
             float* latent_rgb_bias           = nullptr;
-            bool is_video                    = preview_latent_tensor_is_video(latents);
-            uint32_t dim                     = is_video ? static_cast<uint32_t>(latents.shape()[3]) : static_cast<uint32_t>(latents.shape()[2]);
-            if (version == VERSION_LTXAV) {
-                if (is_video) {
-                    _latents = sd::ops::slice(_latents, 3, 0, 128);
-                } else {
-                    _latents = sd::ops::slice(_latents, 2, 0, 128);
-                }
-                dim = 128;
-            }
 
-            if (dim == 128) {
+            if (channels == 128) {
                 if (sd_version_uses_flux2_vae(version)) {
                     latent_rgb_proj = flux2_latent_rgb_proj;
                     latent_rgb_bias = flux2_latent_rgb_bias;
@@ -1638,7 +1633,7 @@ class StableDiffusionGGML {
                     LOG_WARN("No latent to RGB projection known for this model");
                     return;
                 }
-            } else if (dim == 48) {
+            } else if (channels == 48) {
                 if (sd_version_is_wan(version)) {
                     latent_rgb_proj = wan_22_latent_rgb_proj;
                     latent_rgb_bias = wan_22_latent_rgb_bias;
@@ -1646,7 +1641,7 @@ class StableDiffusionGGML {
                     LOG_WARN("No latent to RGB projection known for this model");
                     return;
                 }
-            } else if (dim == 16) {
+            } else if (channels == 16) {
                 if (sd_version_is_sd3(version)) {
                     latent_rgb_proj = sd3_latent_rgb_proj;
                     latent_rgb_bias = sd3_latent_rgb_bias;
@@ -1660,7 +1655,7 @@ class StableDiffusionGGML {
                     LOG_WARN("No latent to RGB projection known for this model");
                     return;
                 }
-            } else if (dim == 4) {
+            } else if (channels == 4) {
                 if (sd_version_is_sdxl(version)) {
                     latent_rgb_proj = sdxl_latent_rgb_proj;
                     latent_rgb_bias = sdxl_latent_rgb_bias;
@@ -1671,8 +1666,8 @@ class StableDiffusionGGML {
                     LOG_WARN("No latent to RGB projection known for this model");
                     return;
                 }
-            } else if (dim != 3) {
-                LOG_WARN("No latent to RGB projection known for this model");
+            } else if (channels != 3) {
+                LOG_WARN("No latent to RGB projection known for this model (dim = %d)", dim);
                 return;
             }
 
@@ -1697,14 +1692,13 @@ class StableDiffusionGGML {
         if (preview_mode == PREVIEW_VAE || preview_mode == PREVIEW_TAE) {
             sd::Tensor<float> vae_latents;
             sd::Tensor<float> decoded;
-            bool is_video = preview_latent_tensor_is_video(latents);
             if (preview_vae) {
                 preview_vae->set_temporal_tiling_enabled(vae_tiling_params.temporal_tiling);
-                vae_latents = preview_vae->diffusion_to_vae_latents(latents);
+                vae_latents = preview_vae->diffusion_to_vae_latents(_latents);
                 decoded     = preview_vae->decode(n_threads, vae_latents, vae_tiling_params, is_video, circular_x, circular_y, true);
             } else {
                 first_stage_model->set_temporal_tiling_enabled(vae_tiling_params.temporal_tiling);
-                vae_latents = first_stage_model->diffusion_to_vae_latents(latents);
+                vae_latents = first_stage_model->diffusion_to_vae_latents(_latents);
                 decoded     = first_stage_model->decode(n_threads, vae_latents, vae_tiling_params, is_video, circular_x, circular_y, true);
             }
             if (decoded.empty()) {