feat: add Qwen Image 2.1 Turbo sigma preset

docs/qwen_image_2.1.md

@@ -32,6 +32,16 @@ Run the following commands from the build directory. Use image dimensions divisi
 
 To use GGUF diffusion weights, set `--diffusion-model` to the path of a file such as `qwen_image_2.1-Q4_K.gguf`.
 
+### Turbo
+
+For [Qwen Image 2.1 Turbo](https://huggingface.co/Qwen/Qwen-Image-2.1-Turbo), use the Turbo diffusion weights and select its fixed 8-step sigma schedule with `--sigmas qwen-image-2.1-turbo`. For example, add these sampling options to the command above:
+
+```text
+--sigmas qwen-image-2.1-turbo --steps 8 --cfg-scale 1.0 --sampling-method euler
+```
+
+The preset is equivalent to `--sigmas 1.0,0.978453,0.95418,0.926626,0.89508,0.845148,0.704534,0.414568,0.0`. It only supplies the sigma values; CFG scale and sampling method remain independently configurable. As with an explicit sigma list, the sigma count determines the actual number of sampling steps. The same preset name is also accepted by `--hires-sigmas` for the highres fix second pass.
+
 ### Image editing
 
 Pass the reference image with `-r` and describe the edit in `-p`. Vision weights are required; the example below loads them separately with `--llm_vision`.

examples/common/common.cpp

@@ -1475,6 +1475,9 @@ ArgOptions SDGenerationParams::get_options() {
             return -1;
         }
         std::string sigmas_str = value;
+        if (sigmas_str == "qwen-image-2.1-turbo") {
+            sigmas_str = "1.0,0.978453,0.95418,0.926626,0.89508,0.845148,0.704534,0.414568,0.0";
+        }
         if (!sigmas_str.empty() && sigmas_str.front() == '[') {
             sigmas_str.erase(0, 1);
         }
@@ -1721,11 +1724,11 @@ ArgOptions SDGenerationParams::get_options() {
          on_scheduler_arg},
         {"",
          "--sigmas",
-         "custom sigma values for the sampler, comma-separated (e.g., \"14.61,7.8,3.5,0.0\").",
+         "custom sigma values for the sampler, comma-separated (e.g., \"14.61,7.8,3.5,0.0\") or preset: qwen-image-2.1-turbo.",
          on_sigmas_arg},
         {"",
          "--hires-sigmas",
-         "custom sigma values for the highres fix second pass, comma-separated (e.g., \"0.85,0.725,0.421875,0.0\").",
+         "custom sigma values for the highres fix second pass, comma-separated (e.g., \"0.85,0.725,0.421875,0.0\") or preset: qwen-image-2.1-turbo.",
          on_hires_sigmas_arg},
         {"",
          "--skip-layers",

src/pipeline/diffusion_engine.cpp

@@ -2735,9 +2735,9 @@ sd::Tensor<float> StableDiffusionGGML::sample(const std::shared_ptr<DiffusionMod
         if (batch_cfg_ok) {
             sd::Tensor<float> batched_out = run_batched_condition(*positive_condition, c_concat_override);
             if (!batched_out.empty() && batched_out.dim() >= 4 && batched_out.shape()[3] == 2) {
-                auto parts    = sd::ops::chunk(batched_out, 2, 3);
-                cond_out      = std::move(parts[0]);
-                uncond_out    = std::move(parts[1]);
+                auto parts = sd::ops::chunk(batched_out, 2, 3);
+                cond_out   = std::move(parts[0]);
+                uncond_out = std::move(parts[1]);
             }
         }