[Issue]: AttributeError hidiffusion with pulid

[MonkeyMan007]

Issue Description

is this fixable or just not posible
i tried using hidiffusion with pulid

07:11:10-447660 ERROR gradio call: AttributeError
╭───────────────────────────────────────── Traceback (most recent call last) ──────────────────────────────────────────╮
│ F:\SD\automatic\modules\call_queue.py:31 in f │
│ │
│ 30 │ │ │ try: │
│ ❱ 31 │ │ │ │ res = func(*args, **kwargs) │
│ 32 │ │ │ │ progress.record_results(id_task, res) │
│ │
│ F:\SD\automatic\modules\txt2img.py:96 in txt2img │
│ │
│ 95 │ p.state = state │
│ ❱ 96 │ processed: processing.Processed = scripts.scripts_txt2img.run(p, *args) │
│ 97 │ if processed is None: │
│ │
│ F:\SD\automatic\modules\scripts.py:511 in run │
│ │
│ 510 │ │ if hasattr(script, 'run'): │
│ ❱ 511 │ │ │ processed = script.run(p, *parsed) │
│ 512 │ │ else: │
│ │
│ F:\SD\automatic\scripts\pulid_ext.py:251 in run │
│ │
│ 250 │ │ │ │ return None │
│ ❱ 251 │ │ │ processed: processing.Processed = processing.process_images(p) # runs processing using main loop │
│ 252 │
│ │
│ F:\SD\automatic\modules\processing.py:210 in process_images │
│ │
│ 209 │ │ │ with context_hypertile_vae(p), context_hypertile_unet(p): │
│ ❱ 210 │ │ │ │ processed = process_images_inner(p) │
│ 211 │
│ │
│ F:\SD\automatic\modules\processing.py:340 in process_images_inner │
│ │
│ 339 │ │ │ │ │ from modules.processing_diffusers import process_diffusers │
│ ❱ 340 │ │ │ │ │ samples = process_diffusers(p) │
│ 341 │ │ │ │ else: │
│ │
│ F:\SD\automatic\modules\processing_diffusers.py:450 in process_diffusers │
│ │
│ 449 │ if 'base' not in p.skip: │
│ ❱ 450 │ │ output = process_base(p) │
│ 451 │ else: │
│ │
│ F:\SD\automatic\modules\processing_diffusers.py:95 in process_base │
│ │
│ 94 │ │ extra_networks.activate(p, exclude=['text_encoder', 'text_encoder_2', 'text_encoder_3']) │
│ ❱ 95 │ │ hidiffusion.apply(p, shared.sd_model_type) │
│ 96 │ │ timer.process.record('move') │
│ │
│ F:\SD\automatic\modules\hidiffusion_init_.py:35 in apply │
│ │
│ 34 │ │ │ p.extra_generation_params['HiDiffusion Ratios'] = f'{shared.opts.hidiffusion_t1}/{shared.opts.hidif │
│ ❱ 35 │ │ hidiffusion.apply_hidiffusion(shared.sd_model, apply_raunet=shared.opts.hidiffusion_raunet, apply_windo │
│ 36 │ │ p.extra_generation_params['HiDiffusion'] = f'{shared.opts.hidiffusion_raunet}/{shared.opts.hidiffusion_ │
│ │
│ F:\SD\automatic\modules\hidiffusion\hidiffusion.py:635 in apply_hidiffusion │
│ │
│ 634 │ diffusion_model = model.unet if hasattr(model, "unet") else model │
│ ❱ 635 │ diffusion_model.num_upsamplers += 12 │
│ 636 │ diffusion_model.info = { │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
AttributeError: 'StableDiffusionXLPuLIDPipeline' object has no attribute 'num_upsamplers'

Version Platform Description

No response

Relevant log output

Backend

Diffusers

UI

Standard

Branch

Master

Model

StableDiffusion XL

Acknowledgements

• I have read the above and searched for existing issues
• I confirm that this is classified correctly and its not an extension issue

[vladmandic]

rule-of-thumb is for any two unrelated functionalities, they are not expected to work unless explicitly noted.
in case of hidiffusion with pulid, that would be a major effort as pulid pipeline is a very different thing than standard sdxl pipeline.
you can convert this to a feature request if desired, but i doubt it will be prioritized unless there are contributions.