DarthAffe/stable-diffusion.cpp
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refactor: remove ununsed encode_video

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leejet 2026-03-10 00:29:10 +08:00
parent c8fb3d2458
commit 1432afa23d
1 changed files with 6 additions and 6 deletions
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12
src/stable-diffusion.cpp
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@ -2526,14 +2526,14 @@ public:
tile_size_y = get_tile_size(params.tile_size_y, params.rel_size_y, latent_y);
}
ggml_tensor* vae_encode(ggml_context* work_ctx, ggml_tensor* x, bool encode_video = false) {
ggml_tensor* vae_encode(ggml_context* work_ctx, ggml_tensor* x) {
int64_t t0 = ggml_time_ms();
ggml_tensor* result = nullptr;
const int vae_scale_factor = get_vae_scale_factor();
int64_t W = x->ne[0] / vae_scale_factor;
int64_t H = x->ne[1] / vae_scale_factor;
int64_t C = get_latent_channel();
if (vae_tiling_params.enabled && !encode_video) {
if (vae_tiling_params.enabled) {
// TODO wan2.2 vae support?
int64_t ne2;
int64_t ne3;
@ -2561,7 +2561,7 @@ public:
if (!use_tiny_autoencoder) {
process_vae_input_tensor(x);
if (vae_tiling_params.enabled && !encode_video) {
if (vae_tiling_params.enabled) {
float tile_overlap;
int tile_size_x, tile_size_y;
// multiply tile size for encode to keep the compute buffer size consistent
@ -2578,7 +2578,7 @@ public:
}
first_stage_model->free_compute_buffer();
} else {
if (vae_tiling_params.enabled && !encode_video) {
if (vae_tiling_params.enabled) {
// split latent in 32x32 tiles and compute in several steps
auto on_tiling = [&](ggml_tensor* in, ggml_tensor* out, bool init) {
return tae_first_stage->compute(n_threads, in, false, &out, nullptr);
@ -2654,8 +2654,8 @@ public:
return latent;
}
ggml_tensor* encode_first_stage(ggml_context* work_ctx, ggml_tensor* x, bool encode_video = false) {
ggml_tensor* vae_output = vae_encode(work_ctx, x, encode_video);
ggml_tensor* encode_first_stage(ggml_context* work_ctx, ggml_tensor* x) {
ggml_tensor* vae_output = vae_encode(work_ctx, x);
return get_first_stage_encoding(work_ctx, vae_output);
}