RFInversionFluxPipeline, small fix for enable_model_cpu_offload &...

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 <Teriks@users.noreply.github.com>
Co-authored-by: Linoy Tsaban <57615435+linoytsaban@users.noreply.github.com>

examples/community/pipeline_flux_rf_inversion.py

@@ -419,7 +419,7 @@ class RFInversionFluxPipeline(
             )
         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