JoyImage differs from the standard process_qwen2vl_images only in using bicubic interpolation and post-resize clamping.
I add interpolation and clamp parameters to the shared helper function, allowing JoyImage to directly reuse process_qwen2vl_images without a duplicated implementation.
(note for reviewer: this modifies qwen_vl.py. If you feel this approach is not appropriate, we can discuss alternative implementations.)
* P2 of qwen edit model.
* Typo.
* Fix normal qwen.
* Fix.
* Make the TextEncodeQwenImageEdit also set the ref latent.
If you don't want it to set the ref latent and want to use the
ReferenceLatent node with your custom latent instead just disconnect the
VAE.
