fix: sample_k_diffusion should be static

denoiser.hpp

@@ -263,14 +263,13 @@ struct CompVisVDenoiser : public Denoiser {
 
 typedef std::function<ggml_tensor*(ggml_tensor*, float, int)> denoise_cb_t;
 
-
 // k diffusion reverse ODE: dx = (x - D(x;\sigma)) / \sigma dt; \sigma(t) = t
-void sample_k_diffusion(sample_method_t method,
-                        denoise_cb_t model,
-                        ggml_context* work_ctx,
-                        ggml_tensor* x,
-                        std::vector<float> sigmas,
-                        std::shared_ptr<RNG> rng) {
+static void sample_k_diffusion(sample_method_t method,
+                               denoise_cb_t model,
+                               ggml_context* work_ctx,
+                               ggml_tensor* x,
+                               std::vector<float> sigmas,
+                               std::shared_ptr<RNG> rng) {
     size_t steps = sigmas.size() - 1;
     // sample_euler_ancestral
     switch (method) {
@@ -401,7 +400,7 @@ void sample_k_diffusion(sample_method_t method,
                     }
 
                     ggml_tensor* denoised = model(x2, sigmas[i + 1], i + 1);
-                    float* vec_denoised = (float*)denoised->data;
+                    float* vec_denoised   = (float*)denoised->data;
                     for (int j = 0; j < ggml_nelements(x); j++) {
                         float d2 = (vec_x2[j] - vec_denoised[j]) / sigmas[i + 1];
                         vec_d[j] = (vec_d[j] + d2) / 2;
@@ -453,7 +452,7 @@ void sample_k_diffusion(sample_method_t method,
                     }
 
                     ggml_tensor* denoised = model(x2, sigma_mid, i + 1);
-                    float* vec_denoised = (float*)denoised->data;
+                    float* vec_denoised   = (float*)denoised->data;
                     for (int j = 0; j < ggml_nelements(x); j++) {
                         float d2 = (vec_x2[j] - vec_denoised[j]) / sigma_mid;
                         vec_x[j] = vec_x[j] + d2 * dt_2;