up

Author: sayakpaul

src/diffusers/modular_pipelines/flux/before_denoise.py

@@ -608,8 +608,7 @@ def __call__(self, components: FluxModularPipeline, state: PipelineState) -> Pip
         height = 2 * (int(block_state.height) // (components.vae_scale_factor * 2))
         width = 2 * (int(block_state.width) // (components.vae_scale_factor * 2))
         latent_ids = FluxPipeline._prepare_latent_image_ids(None, height // 2, width // 2, device, dtype)
-        print(f"{latent_ids.shape=}, {img_ids.shape=}")
-
+        
         if img_ids is not None:
             latent_ids = torch.cat([latent_ids, img_ids], dim=0)