[modular] fix flux modular pipelines for t2i and i2i (huggingface#12272)

fix flux modular pipelines for t2i and i2i

Author: sayakpaul

src/diffusers/modular_pipelines/flux/before_denoise.py

@@ -454,6 +454,9 @@ def __call__(self, components: FluxModularPipeline, state: PipelineState) -> Pip
         block_state = self.get_block_state(state)
         block_state.device = components._execution_device
 
+        block_state.height = block_state.height or components.default_height
+        block_state.width = block_state.width or components.default_width
+
         scheduler = components.scheduler
         transformer = components.transformer
         batch_size = block_state.batch_size * block_state.num_images_per_prompt
@@ -659,8 +662,6 @@ def intermediate_outputs(self) -> List[OutputParam]:
     def __call__(self, components: FluxModularPipeline, state: PipelineState) -> PipelineState:
         block_state = self.get_block_state(state)
 
-        block_state.height = block_state.height or components.default_height
-        block_state.width = block_state.width or components.default_width
         block_state.device = components._execution_device
         block_state.dtype = torch.bfloat16  # TODO: okay to hardcode this?
         block_state.num_channels_latents = components.num_channels_latents

src/diffusers/modular_pipelines/flux/modular_blocks.py

@@ -148,8 +148,8 @@ def description(self):
     [
         ("text_encoder", FluxTextEncoderStep),
         ("input", FluxInputStep),
-        ("set_timesteps", FluxSetTimestepsStep),
         ("prepare_latents", FluxPrepareLatentsStep),
+        ("set_timesteps", FluxSetTimestepsStep),
         ("denoise", FluxDenoiseStep),
         ("decode", FluxDecodeStep),
     ]