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feat: add Qwen Image support (#851)

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* add qwen tokenizer

* add qwen2.5 vl support

* mv qwen.hpp -> qwenvl.hpp

* add qwen image model

* add qwen image t2i pipeline

* fix qwen image flash attn

* add qwen image i2i pipline

* change encoding of vocab_qwen.hpp to utf8

* fix get_first_stage_encoding

* apply jeffbolz f32 patch

https://github.com/leejet/stable-diffusion.cpp/pull/851#issuecomment-3335515302

* fix the issue that occurs when using CUDA with k-quants weights

* optimize the handling of the FeedForward precision fix

* to_add_out precision fix

* update docs
This commit is contained in:
leejet
2025-10-12 23:23:19 +08:00
committed by GitHub
parent aa68b875b9
commit beb99a2de2
21 changed files with 142312 additions and 272 deletions
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7
examples/cli/main.cpp
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@@ -61,6 +61,7 @@ struct SDParams {
std::string clip_g_path;
std::string clip_vision_path;
std::string t5xxl_path;
std::string qwen2vl_path;
std::string diffusion_model_path;
std::string high_noise_diffusion_model_path;
std::string vae_path;
@@ -146,6 +147,7 @@ void print_params(SDParams params) {
printf(" clip_g_path: %s\n", params.clip_g_path.c_str());
printf(" clip_vision_path: %s\n", params.clip_vision_path.c_str());
printf(" t5xxl_path: %s\n", params.t5xxl_path.c_str());
printf(" qwen2vl_path: %s\n", params.qwen2vl_path.c_str());
printf(" diffusion_model_path: %s\n", params.diffusion_model_path.c_str());
printf(" high_noise_diffusion_model_path: %s\n", params.high_noise_diffusion_model_path.c_str());
printf(" vae_path: %s\n", params.vae_path.c_str());
@@ -217,6 +219,7 @@ void print_usage(int argc, const char* argv[]) {
printf(" --clip_g path to the clip-g text encoder\n");
printf(" --clip_vision path to the clip-vision encoder\n");
printf(" --t5xxl path to the t5xxl text encoder\n");
printf(" --qwen2vl path to the qwen2vl text encoder\n");
printf(" --vae [VAE] path to vae\n");
printf(" --taesd [TAESD_PATH] path to taesd. Using Tiny AutoEncoder for fast decoding (low quality)\n");
printf(" --control-net [CONTROL_PATH] path to control net model\n");
@@ -486,6 +489,7 @@ void parse_args(int argc, const char** argv, SDParams& params) {
{"", "--clip_g", "", &params.clip_g_path},
{"", "--clip_vision", "", &params.clip_vision_path},
{"", "--t5xxl", "", &params.t5xxl_path},
{"", "--qwen2vl", "", &params.qwen2vl_path},
{"", "--diffusion-model", "", &params.diffusion_model_path},
{"", "--high-noise-diffusion-model", "", &params.high_noise_diffusion_model_path},
{"", "--vae", "", &params.vae_path},
@@ -948,7 +952,7 @@ std::string get_image_params(SDParams params, int64_t seed) {
parameter_string += " " + std::string(sd_schedule_name(params.sample_params.scheduler));
}
parameter_string += ", ";
for (const auto& te : {params.clip_l_path, params.clip_g_path, params.t5xxl_path}) {
for (const auto& te : {params.clip_l_path, params.clip_g_path, params.t5xxl_path, params.qwen2vl_path}) {
if (!te.empty()) {
parameter_string += "TE: " + sd_basename(te) + ", ";
}
@@ -1331,6 +1335,7 @@ int main(int argc, const char* argv[]) {
params.clip_g_path.c_str(),
params.clip_vision_path.c_str(),
params.t5xxl_path.c_str(),
params.qwen2vl_path.c_str(),
params.diffusion_model_path.c_str(),
params.high_noise_diffusion_model_path.c_str(),
params.vae_path.c_str(),