DarthAffe/stable-diffusion.cpp
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feat: add verbose logging and log-level selection (#1941)

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leejet authored and GitHub committed 2026-09-06 23:14:03 +08:00
1 parent 462d675018
commit dbb611264e
69 files changed
+551 -484
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src/model/vae/vae.hpp
+16 -16
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@@ -54,23 +54,23 @@ protected:
}
auto plan = make_vae_temporal_tile_plan(input.shape()[2], resolved_config);
LOG_DEBUG("%s temporal tiling: tile_frames=%d, overlap=%d, total_frames=%lld, tiles=%d",
get_desc().c_str(),
plan.tile_frames,
plan.overlap,
(long long)input.shape()[2],
(int)plan.tiles.size());
LOG_VERBOSE("%s temporal tiling: tile_frames=%d, overlap=%d, total_frames=%lld, tiles=%d",
get_desc().c_str(),
plan.tile_frames,
plan.overlap,
(long long)input.shape()[2],
(int)plan.tiles.size());
return process_vae_temporal_tiles_blended(
input,
plan,
output_scale,
[&](const sd::Tensor<float>& input_tile, const VAETemporalTile& tile) {
LOG_DEBUG("%s temporal tile %d/%d: input frames [%lld, %lld)",
get_desc().c_str(),
tile.index + 1,
(int)plan.tiles.size(),
(long long)tile.start,
(long long)tile.end);
LOG_VERBOSE("%s temporal tile %d/%d: input frames [%lld, %lld)",
get_desc().c_str(),
tile.index + 1,
(int)plan.tiles.size(),
(long long)tile.start,
(long long)tile.end);
return _compute(n_threads, input_tile, true);
});
}
@@ -230,7 +230,7 @@ public:
const float encode_tile_factor = sd_version_is_minimax_h3(version) ? 1.f : (sd_version_is_wan(version) || sd_version_is_hunyuan_video(version) || sd_version_is_ltxav(version)) ? 1.30539f
: 2.0f;
get_tile_sizes(tile_size_x, tile_size_y, tile_overlap, tiling_params, W, H, encode_tile_factor);
LOG_DEBUG("VAE Tile size: %dx%d", tile_size_x, tile_size_y);
LOG_VERBOSE("VAE Tile size: %dx%d", tile_size_x, tile_size_y);
output = tiled_compute(input,
n_threads,
static_cast<int>(W),
@@ -258,7 +258,7 @@ public:
return {};
}
int64_t t1 = ggml_time_ms();
LOG_DEBUG("computing vae encode graph completed, taking %.2fs", (t1 - t0) * 1.0f / 1000);
LOG_VERBOSE("computing vae encode graph completed, taking %.2fs", (t1 - t0) * 1.0f / 1000);
return std::move(output);
}
@@ -281,7 +281,7 @@ public:
int tile_size_x, tile_size_y;
get_tile_sizes(tile_size_x, tile_size_y, tile_overlap, tiling_params, input.shape()[0], input.shape()[1]);
if (!silent) {
LOG_DEBUG("VAE Tile size: %dx%d", tile_size_x, tile_size_y);
LOG_VERBOSE("VAE Tile size: %dx%d", tile_size_x, tile_size_y);
}
output = tiled_compute(
input,
@@ -315,7 +315,7 @@ public:
scale_tensor_to_0_1(&output);
}
int64_t t1 = ggml_time_ms();
LOG_DEBUG("computing vae decode graph completed, taking %.2fs", (t1 - t0) * 1.0f / 1000);
LOG_VERBOSE("computing vae decode graph completed, taking %.2fs", (t1 - t0) * 1.0f / 1000);
return std::move(output);
}