RFInversionFluxPipeline, small fix for enable_model_cpu_offload & enable_sequential_cpu_offload compatibility (#10480)

RFInversionFluxPipeline.encode_image, device fix

Use self._execution_device instead of self.device when selecting
a device for the input image tensor.

This allows for compatibility with enable_model_cpu_offload &
enable_sequential_cpu_offload

Co-authored-by: Teriks <[email protected]>
Co-authored-by: Linoy Tsaban <[email protected]>

Author: Teriks

Diff for: examples/community/pipeline_flux_rf_inversion.py

@@ -419,7 +419,7 @@ def encode_image(self, image, dtype=None, height=None, width=None, resize_mode="
             )
         image = image.to(dtype)
 
-        x0 = self.vae.encode(image.to(self.device)).latent_dist.sample()
+        x0 = self.vae.encode(image.to(self._execution_device)).latent_dist.sample()
         x0 = (x0 - self.vae.config.shift_factor) * self.vae.config.scaling_factor
         x0 = x0.to(dtype)
         return x0, resized