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/tae.hpp
+11 -11
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@@ -628,9 +628,9 @@ struct TinyImageAutoEncoder : public VAE {
const std::string prefix,
bool decoder_only = true,
SDVersion version = VERSION_SD1)
: decode_only(decoder_only),
taesd(decoder_only, version),
VAE(version, backend, params_backend) {
: VAE(version, backend, params_backend, "tae"),
decode_only(decoder_only),
taesd(decoder_only, version) {
scale_input = false;
taesd.init(params_ctx, tensor_storage_map, prefix);
}
@@ -639,8 +639,8 @@ struct TinyImageAutoEncoder : public VAE {
return "taesd";
}
void get_param_tensors(std::map<std::string, ggml_tensor*>& tensors, const std::string prefix) {
taesd.get_param_tensors(tensors, prefix);
void get_param_tensors(std::map<std::string, ggml_tensor*>& tensors) override {
taesd.get_param_tensors(tensors, weight_prefix);
}
sd::Tensor<float> vae_output_to_latents(const sd::Tensor<float>& vae_output, std::shared_ptr<RNG> rng) override {
@@ -676,7 +676,7 @@ struct TinyImageAutoEncoder : public VAE {
return build_graph(z_tensor, decode_graph);
};
return restore_trailing_singleton_dims(GGMLRunner::compute<float>(get_graph, n_threads, false), z_tensor.dim());
return restore_trailing_singleton_dims(GGMLRunner::compute<float>(get_graph, n_threads, false, false, false), z_tensor.dim());
}
};
@@ -691,8 +691,8 @@ struct TinyVideoAutoEncoder : public VAE {
const std::string prefix,
bool decoder_only = true,
SDVersion version = VERSION_WAN2)
: decode_only(decoder_only),
VAE(version, backend, params_backend) {
: VAE(version, backend, params_backend, "tae"),
decode_only(decoder_only) {
for (auto tensor_storage : tensor_storage_map) {
if (tensor_storage.first.find(prefix + ".3.conv.6.weight") != std::string::npos) {
is_wide = true;
@@ -708,8 +708,8 @@ struct TinyVideoAutoEncoder : public VAE {
return "taehv";
}
void get_param_tensors(std::map<std::string, ggml_tensor*>& tensors, const std::string prefix) {
taehv.get_param_tensors(tensors, prefix);
void get_param_tensors(std::map<std::string, ggml_tensor*>& tensors) override {
taehv.get_param_tensors(tensors, weight_prefix);
}
sd::Tensor<float> vae_output_to_latents(const sd::Tensor<float>& vae_output, std::shared_ptr<RNG> rng) override {
@@ -746,7 +746,7 @@ struct TinyVideoAutoEncoder : public VAE {
return build_graph(z_tensor, decode_graph);
};
return restore_trailing_singleton_dims(GGMLRunner::compute<float>(get_graph, n_threads, false), z_tensor.dim());
return restore_trailing_singleton_dims(GGMLRunner::compute<float>(get_graph, n_threads, false, false, false), z_tensor.dim());
}
};