refactor: move model-specific args into model parsers (#1757)

This commit is contained in:
leejet
2026-07-06 23:13:18 +08:00
committed by GitHub
parent e22272ee63
commit bb84971129
9 changed files with 81 additions and 73 deletions

View File

@@ -443,6 +443,12 @@ ArgOptions SDContextParams::get_options() {
"weight type per tensor pattern (example: \"^vae\\.=f16,model\\.=q8_0\")",
(int)',',
&tensor_type_rules},
{"",
"--model-args",
"extra model args, key=value list. Supports chroma_use_dit_mask, chroma_use_t5_mask, "
"chroma_t5_mask_pad, qwen_image_zero_cond_t",
(int)',',
&model_args},
{"",
"--photo-maker",
"path to PHOTOMAKER model",
@@ -493,10 +499,6 @@ ArgOptions SDContextParams::get_options() {
"number of threads to use during computation (default: -1). "
"If threads <= 0, then threads will be set to the number of CPU physical cores",
&n_threads},
{"",
"--chroma-t5-mask-pad",
"t5 mask pad size of chroma",
&chroma_t5_mask_pad},
};
options.bool_options = {
@@ -554,18 +556,6 @@ ArgOptions SDContextParams::get_options() {
"--vae-conv-direct",
"use ggml_conv2d_direct in the vae model",
true, &vae_conv_direct},
{"",
"--chroma-disable-dit-mask",
"disable dit mask for chroma",
false, &chroma_use_dit_mask},
{"",
"--qwen-image-zero-cond-t",
"enable zero_cond_t for qwen image",
true, &qwen_image_zero_cond_t},
{"",
"--chroma-enable-t5-mask",
"enable t5 mask for chroma",
true, &chroma_use_t5_mask},
};
auto on_type_arg = [&](int argc, const char** argv, int index) {
@@ -832,6 +822,7 @@ std::string SDContextParams::to_string() const {
<< " backend: \"" << backend << "\",\n"
<< " params_backend: \"" << params_backend << "\",\n"
<< " split_mode: \"" << split_mode << "\",\n"
<< " model_args: \"" << model_args << "\",\n"
<< " auto_fit: " << (auto_fit ? "true" : "false") << ",\n"
<< " enable_mmap: " << (enable_mmap ? "true" : "false") << ",\n"
<< " control_net_cpu: " << (control_net_cpu ? "true" : "false") << ",\n"
@@ -841,10 +832,6 @@ std::string SDContextParams::to_string() const {
<< " diffusion_flash_attn: " << (diffusion_flash_attn ? "true" : "false") << ",\n"
<< " diffusion_conv_direct: " << (diffusion_conv_direct ? "true" : "false") << ",\n"
<< " vae_conv_direct: " << (vae_conv_direct ? "true" : "false") << ",\n"
<< " chroma_use_dit_mask: " << (chroma_use_dit_mask ? "true" : "false") << ",\n"
<< " qwen_image_zero_cond_t: " << (qwen_image_zero_cond_t ? "true" : "false") << ",\n"
<< " chroma_use_t5_mask: " << (chroma_use_t5_mask ? "true" : "false") << ",\n"
<< " chroma_t5_mask_pad: " << chroma_t5_mask_pad << ",\n"
<< " prediction: " << sd_prediction_name(prediction) << ",\n"
<< " lora_apply_mode: " << sd_lora_apply_mode_name(lora_apply_mode) << ",\n"
<< " force_sdxl_vae_conv_scale: " << (force_sdxl_vae_conv_scale ? "true" : "false") << "\n"
@@ -898,10 +885,6 @@ sd_ctx_params_t SDContextParams::to_sd_ctx_params_t(bool taesd_preview) {
sd_ctx_params.diffusion_conv_direct = diffusion_conv_direct;
sd_ctx_params.vae_conv_direct = vae_conv_direct;
sd_ctx_params.force_sdxl_vae_conv_scale = force_sdxl_vae_conv_scale;
sd_ctx_params.chroma_use_dit_mask = chroma_use_dit_mask;
sd_ctx_params.chroma_use_t5_mask = chroma_use_t5_mask;
sd_ctx_params.chroma_t5_mask_pad = chroma_t5_mask_pad;
sd_ctx_params.qwen_image_zero_cond_t = qwen_image_zero_cond_t;
sd_ctx_params.vae_format = str_to_vae_format(vae_format);
sd_ctx_params.max_vram = max_vram.c_str();
sd_ctx_params.stream_layers = stream_layers;
@@ -911,6 +894,7 @@ sd_ctx_params_t SDContextParams::to_sd_ctx_params_t(bool taesd_preview) {
sd_ctx_params.split_mode = split_mode.c_str();
sd_ctx_params.auto_fit = auto_fit;
sd_ctx_params.rpc_servers = rpc_servers.c_str();
sd_ctx_params.model_args = model_args.empty() ? nullptr : model_args.c_str();
return sd_ctx_params;
}

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@@ -152,6 +152,7 @@ struct SDContextParams {
std::string backend;
std::string params_backend;
std::string split_mode;
std::string model_args;
bool auto_fit = false;
std::string rpc_servers;
std::string effective_backend;
@@ -165,12 +166,6 @@ struct SDContextParams {
bool diffusion_conv_direct = false;
bool vae_conv_direct = false;
bool chroma_use_dit_mask = true;
bool chroma_use_t5_mask = false;
int chroma_t5_mask_pad = 1;
bool qwen_image_zero_cond_t = false;
prediction_t prediction = PREDICTION_COUNT;
lora_apply_mode_t lora_apply_mode = LORA_APPLY_AUTO;