DarthAffe/stable-diffusion.cpp
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refactor: centralize runner weight staging and cleanup (#1644)

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leejet authored and GitHub committed 2026-06-13 13:19:13 +08:00
1 parent 3a54597776
commit 563137a592
43 files changed
+2335 -1729
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src/model/vae/auto_encoder_kl.hpp
+4 -4
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@@ -670,7 +670,7 @@ struct AutoEncoderKL : public VAE {
bool decode_only = false,
bool use_video_decoder = false,
SDVersion version = VERSION_SD1)
: decode_only(decode_only), VAE(version, backend, params_backend) {
: VAE(version, backend, params_backend, prefix), decode_only(decode_only) {
if (sd_version_is_sd1(version) || sd_version_is_sd2(version)) {
scale_factor = 0.18215f;
shift_factor = 0.f;
@@ -718,8 +718,8 @@ struct AutoEncoderKL : public VAE {
return "vae";
}
void get_param_tensors(std::map<std::string, ggml_tensor*>& tensors, const std::string prefix) override {
ae.get_param_tensors(tensors, prefix);
void get_param_tensors(std::map<std::string, ggml_tensor*>& tensors) override {
ae.get_param_tensors(tensors, weight_prefix);
}
ggml_cgraph* build_graph(const sd::Tensor<float>& z_tensor, bool decode_graph) {
@@ -742,7 +742,7 @@ struct AutoEncoderKL : public VAE {
auto get_graph = [&]() -> ggml_cgraph* {
return build_graph(z, decode_graph);
};
return restore_trailing_singleton_dims(GGMLRunner::compute<float>(get_graph, n_threads, false), z.dim());
return restore_trailing_singleton_dims(GGMLRunner::compute<float>(get_graph, n_threads, false, false, false), z.dim());
}
sd::Tensor<float> gaussian_latent_sample(const sd::Tensor<float>& moments, std::shared_ptr<RNG> rng) {