DarthAffe/stable-diffusion.cpp
1
0
Fork 0
mirror of https://github.com/leejet/stable-diffusion.cpp.git synced 2026-01-02 18:53:36 +00:00
Code Issues Packages Projects Releases Wiki Activity

fix: avoid crash when using taesd for preview only (#1141)

Browse Source
This commit is contained in:
leejet 2025-12-24 23:30:12 +08:00 committed by GitHub
parent a0adcfb148
commit 860a78e248
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
3 changed files with 43 additions and 44 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

31
stable-diffusion.cpp
View File

@ -591,8 +591,8 @@ public:
vae_backend = backend;
}
if (!use_tiny_autoencoder || sd_ctx_params->tae_preview_only) {
if (sd_version_is_wan(version) || sd_version_is_qwen_image(version)) {
if (!use_tiny_autoencoder) {
first_stage_model = std::make_shared<WAN::WanVAERunner>(vae_backend,
offload_params_to_cpu,
tensor_storage_map,
@ -601,22 +601,10 @@ public:
version);
first_stage_model->alloc_params_buffer();
first_stage_model->get_param_tensors(tensors, "first_stage_model");
} else {
tae_first_stage = std::make_shared<TinyVideoAutoEncoder>(vae_backend,
offload_params_to_cpu,
tensor_storage_map,
"decoder",
vae_decode_only,
version);
if (sd_ctx_params->vae_conv_direct) {
LOG_INFO("Using Conv2d direct in the tae model");
tae_first_stage->set_conv2d_direct_enabled(true);
}
}
} else if (version == VERSION_CHROMA_RADIANCE) {
first_stage_model = std::make_shared<FakeVAE>(vae_backend,
offload_params_to_cpu);
} else if (!use_tiny_autoencoder || sd_ctx_params->tae_preview_only) {
} else {
first_stage_model = std::make_shared<AutoEncoderKL>(vae_backend,
offload_params_to_cpu,
tensor_storage_map,
@ -639,19 +627,30 @@ public:
}
first_stage_model->alloc_params_buffer();
first_stage_model->get_param_tensors(tensors, "first_stage_model");
} else if (use_tiny_autoencoder) {
}
}
if (use_tiny_autoencoder) {
if (sd_version_is_wan(version) || sd_version_is_qwen_image(version)) {
tae_first_stage = std::make_shared<TinyVideoAutoEncoder>(vae_backend,
offload_params_to_cpu,
tensor_storage_map,
"decoder",
vae_decode_only,
version);
} else {
tae_first_stage = std::make_shared<TinyImageAutoEncoder>(vae_backend,
offload_params_to_cpu,
tensor_storage_map,
"decoder.layers",
vae_decode_only,
version);
}
if (sd_ctx_params->vae_conv_direct) {
LOG_INFO("Using Conv2d direct in the tae model");
tae_first_stage->set_conv2d_direct_enabled(true);
}
}
// first_stage_model->get_param_tensors(tensors, "first_stage_model.");
if (strlen(SAFE_STR(sd_ctx_params->control_net_path)) > 0) {
ggml_backend_t controlnet_backend = nullptr;