Add support for ACE-Step 1.5 and ACE-Step 1.5 XL. Also added dataset captioning through the UI. (#785)

* Base ace step 1.5 xl added. Generating, still wip on training and ui

* Base training code done

* Fix some issues with caching text embeddings. Update sample cards to show audio

* Fix issue with quantizing ace step

* Add album artwork to samples with waveform.

* Cleanup logs

* Add album art endpoint to speed up album art loading

* Made an make video with artwork script

* Make ui handle basic audio models. Make multi line adjustments to the editor and better syntax hilighting.

* Add prompt tagging system for special tagged models.

* prompt tagging processing for ui working.

* Moved default samples to a special file so we can add more when needed and they can be adjusted for a specific model

* Add a captioner job with music captioner that is prepped for use with the ui

* Add basit ui setup for captioning modal and handeling captioning jobs

* Starting captioning job from ui working. Still better management for it.

* Better filtering of job options in the job view for captioning jobs

* Added qwen3 vl as a captioner for images

* Have an indicator when a dataset is being captioned.

* Adjust the way caption jobs look in the queue

* Fix a few issues. Adjust defaults.

* Version bump

* Added ace step to the readme.

jobs/process/BaseSDTrainProcess.py

@@ -1188,7 +1188,7 @@ class BaseSDTrainProcess(BaseTrainProcess):
                     if self.sd.is_flux or 'flex' in self.sd.arch:
                         # flux is a patch size of 1, but latents are divided by 2, so we need to double it
                         patch_size = 2
-                    elif hasattr(self.sd.unet.config, 'patch_size'):
+                    elif hasattr(self.sd.unet, 'config') and hasattr(self.sd.unet.config, 'patch_size'):
                         patch_size = self.sd.unet.config.patch_size
                     
                     self.sd.noise_scheduler.set_train_timesteps(