error when running in automatic 1111

[whatiphmedia]

im getting an error

Im not the greatest at any of this, so take it easy on me. Lemme know if this is something i can fix or not...

AttributeError: 'Processed' object has no attribute 's_min_uncond'

[whatiphmedia]

Traceback (most recent call last):
File "C:\Users\KracKills\stable-diffusion-webui\modules\call_queue.py", line 57, in f
res = list(func(*args, **kwargs))
File "C:\Users\KracKills\stable-diffusion-webui\modules\call_queue.py", line 37, in f
res = func(*args, **kwargs)
File "C:\Users\KracKills\stable-diffusion-webui\modules\txt2img.py", line 53, in txt2img
processed = modules.scripts.scripts_txt2img.run(p, *args)
File "C:\Users\KracKills\stable-diffusion-webui\modules\scripts.py", line 407, in run
processed = script.run(p, *script_args)
File "C:\Users\KracKills\stable-diffusion-webui\extensions\stable-diffusion-webui-depthmap-script\scripts\depthmap.py", line 282, in run
newmaps, mesh_fi, meshsimple_fi = run_depthmap(processed, p.outpath_samples, inputimages, None,
File "C:\Users\KracKills\stable-diffusion-webui\extensions\stable-diffusion-webui-depthmap-script\scripts\depthmap.py", line 601, in run_depthmap
info = create_infotext(processed, processed.all_prompts, processed.all_seeds, processed.all_subseeds, "", 0, count)
File "C:\Users\KracKills\stable-diffusion-webui\modules\processing.py", line 485, in create_infotext
"NGMS": None if p.s_min_uncond == 0 else p.s_min_uncond,
AttributeError: 'Processed' object has no attribute 's_min_uncond'

[AryehMischel]

Hi, I ran into this problem as well. I simply commented out line 485 in \modules\processing.py and that seems to resolve it. Hope that helps!

[crowtalons]

Hi, I ran into this problem as well. I simply commented out line 485 in \modules\processing.py and that seems to resolve it. Hope that helps!

helped me. thanks a ton!

[drewbaumann]

I ran into the same issue. Given that I am unfamiliar with the way NGMS is used with other extensions, I updated the method to handle this unknown value:

def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments=None, iteration=0, position_in_batch=0):
    index = position_in_batch + iteration * p.batch_size

    clip_skip = getattr(p, 'clip_skip', opts.CLIP_stop_at_last_layers)

    if hasattr(p, 's_min_uncond'):
        s_min_uncond_value = p.s_min_uncond
    else:
        s_min_uncond_value = 0


    generation_params = {
        "Steps": p.steps,
        "Sampler": p.sampler_name,
        "CFG scale": p.cfg_scale,
        "Image CFG scale": getattr(p, 'image_cfg_scale', None),
        "Seed": all_seeds[index],
        "Face restoration": (opts.face_restoration_model if p.restore_faces else None),
        "Size": f"{p.width}x{p.height}",
        "Model hash": getattr(p, 'sd_model_hash', None if not opts.add_model_hash_to_info or not shared.sd_model.sd_model_hash else shared.sd_model.sd_model_hash),
        "Model": (None if not opts.add_model_name_to_info or not shared.sd_model.sd_checkpoint_info.model_name else shared.sd_model.sd_checkpoint_info.model_name.replace(',', '').replace(':', '')),
        "Variation seed": (None if p.subseed_strength == 0 else all_subseeds[index]),
        "Variation seed strength": (None if p.subseed_strength == 0 else p.subseed_strength),
        "Seed resize from": (None if p.seed_resize_from_w == 0 or p.seed_resize_from_h == 0 else f"{p.seed_resize_from_w}x{p.seed_resize_from_h}"),
        "Denoising strength": getattr(p, 'denoising_strength', None),
        "Conditional mask weight": getattr(p, "inpainting_mask_weight", shared.opts.inpainting_mask_weight) if p.is_using_inpainting_conditioning else None,
        "Clip skip": None if clip_skip <= 1 else clip_skip,
        "ENSD": None if opts.eta_noise_seed_delta == 0 else opts.eta_noise_seed_delta,
        "Init image hash": getattr(p, 'init_img_hash', None),
        "RNG": opts.randn_source if opts.randn_source != "GPU" else None,
        "NGMS": None if s_min_uncond_value == 0 else s_min_uncond_value,
    }

I would assume that if most extensions don't have this issue that the patch is more applicable in a PR on this repo, but this is a quick fix.