Current webui version incompatible with extension

[alulkesh]

Current webui version incompatible with extension

[XeonG]

nevermind.. had to refresh browser tab aswel :)

[AlUlkesh]

About the title - what is broken?

[XeonG]

the with the latest commits from https://github.com/AUTOMATIC1111/stable-diffusion-webui .. its got some errors come this addon.. sorry haven't got the errors on hand right now.. I rolled back to an older commit from 2days ago and its working again.

[AlUlkesh]

There were no less than 15 commits on the webui today, all connected to the samplers. Since this extension relies on k_diffusion, that has broken it for now. I'll see, if I can fix it.

[XeonG]

oh right good luck.. would hate to lose it

[AlUlkesh]

Well, luckily the fix was a lot easier than I expected. I was even able to make it backward compatible...

[XeonG]

File "C:\Projects\Stable_Diffusion\stable-diffusion-webui\modules\call_queue.py", line 56, in f res = list(func(*args, **kwargs)) File "C:\Projects\Stable_Diffusion\stable-diffusion-webui\modules\call_queue.py", line 37, in f res = func(*args, **kwargs) File "C:\Projects\Stable_Diffusion\stable-diffusion-webui\modules\txt2img.py", line 52, in txt2img processed = process_images(p) File "C:\Projects\Stable_Diffusion\stable-diffusion-webui\modules\processing.py", line 487, in process_images res = process_images_inner(p) File "C:\Projects\Stable_Diffusion\stable-diffusion-webui\modules\processing.py", line 629, in process_images_inner samples_ddim = p.sample(conditioning=c, unconditional_conditioning=uc, seeds=seeds, subseeds=subseeds, subseed_strength=p.subseed_strength, prompts=prompts) File "C:\Projects\Stable_Diffusion\stable-diffusion-webui\modules\processing.py", line 829, in sample samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x)) File "C:\Projects\Stable_Diffusion\stable-diffusion-webui\modules\sd_samplers.py", line 544, in sample samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={ File "C:\Projects\Stable_Diffusion\stable-diffusion-webui\modules\sd_samplers.py", line 447, in launch_sampling return func() File "C:\Projects\Stable_Diffusion\stable-diffusion-webui\modules\sd_samplers.py", line 544, in <lambda> samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={ File "C:\Projects\Stable_Diffusion\stable-diffusion-webui\venv\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context return func(*args, **kwargs) File "C:\Projects\Stable_Diffusion\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\sampling.py", line 148, in sample_euler_ancestral callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised}) File "C:\Projects\Stable_Diffusion\stable-diffusion-webui\extensions\sd_save_intermediate_images\scripts\sd_save_intermediate_images.py", line 400, in callback_state if ssii_start_at_n % ssii_every_n == 0: ZeroDivisionError: float modulo

[XeonG]

I still get that after trying the latest update