UnboundLocalError: local variable 'h' referenced before assignment

[Yaiol]

Automatic1111 startup options --port 7800 --xformers --api --disable-safe-unpickle --skip-install

When using Sampler : DPM++ 2M SDE DPM++ 2M SDE Karras

Script X/Y/Z Plot with X defined as Steps:1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,55,60,65,70,75,80,85,90,95,100

I get this error:

Error completing request | 1/2070 [00:02<1:14:01, 2.15s/it] Arguments: ('task(psiv3pussxe3h92)', 'masterpiece, realistic, portrait of a girl, medieval armor, upper body, outdoors, far away castle, metal reflections, intense sunlight, dramatic, cinematic lighting, octane render, unreal engine', 'frame, bad anatomy, hand, hands', [], 20, 9, False, False, 1, 1, 7, 1587979927.0, -1.0, 0, 0, 0, False, 512, 512, False, 0.25, 2, 'A-ArtStation1337-4x-v2', 5, 0, 0, 0, '', '', [], 3, 0, 0, 0, 0, 0.25, False, True, False, False, 'LoRA', 'None', 1, 1, 'LoRA', 'None', 1, 1, 'LoRA', 'None', 1, 1, 'LoRA', 'None', 1, 1, 'LoRA', 'None', 1, 1, None, 'Refresh models', <scripts.controlnet_ui.controlnet_ui_group.UiControlNetUnit object at 0x00000231F51E19F0>, <scripts.controlnet_ui.controlnet_ui_group.UiControlNetUnit object at 0x00000231F51E31F0>, None, False, '0', 'D:\Apps\sd\sd-webui\repo\models\roop\inswapper_128.onnx', 'CodeFormer', 1, '', 1, 1, False, True, False, False, '', False, False, 'positive', 'comma', 0, 4, '1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,46,37,38,49,40,41,42,43,44,45,46,47,48,49,50,55,60,65,70,75,80,85,90,95,100', [], 0, '', [], 0, '', [], True, False, False, False, 0, None, None, False, None, None, False, 50) {} Traceback (most recent call last): File "D:\Apps\sd\sd-webui\repo\modules\call_queue.py", line 55, in f res = list(func(*args, kwargs)) File "D:\Apps\sd\sd-webui\repo\modules\call_queue.py", line 35, in f res = func(*args, *kwargs) File "D:\Apps\sd\sd-webui\repo\modules\txt2img.py", line 54, in txt2img processed = modules.scripts.scripts_txt2img.run(p, args) File "D:\Apps\sd\sd-webui\repo\modules\scripts.py", line 456, in run processed = script.run(p, script_args) File "D:\Apps\sd\sd-webui\repo\scripts\too_std-xyz.py", line 678, in run processed = draw_xyz_grid( File "D:\Apps\sd\sd-webui\repo\scripts\too_std-xyz.py", line 317, in draw_xyz_grid process_cell(x, y, z, ix, iy, iz) File "D:\Apps\sd\sd-webui\repo\scripts\too_std-xyz.py", line 260, in process_cell processed: Processed = cell(x, y, z, ix, iy, iz) File "D:\Apps\sd\sd-webui\repo\scripts\too_std-xyz.py", line 641, in cell res = process_images(pc) File "D:\Apps\sd\sd-webui\repo\modules\processing.py", line 620, in process_images res = process_images_inner(p) File "D:\Apps\sd\sd-webui\repo\extensions\sd-webui-controlnet\scripts\batch_hijack.py", line 42, in processing_process_images_hijack return getattr(processing, '__controlnet_original_process_images_inner')(p, args, kwargs) File "D:\Apps\sd\sd-webui\repo\modules\processing.py", line 739, in process_images_inner samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts) File "D:\Apps\sd\sd-webui\repo\modules\processing.py", line 992, in sample samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x)) File "D:\Apps\sd\sd-webui\repo\modules\sd_samplers_kdiffusion.py", line 439, in sample samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={ File "D:\Apps\sd\sd-webui\repo\modules\sd_samplers_kdiffusion.py", line 278, in launch_sampling return func() File "D:\Apps\sd\sd-webui\repo\modules\sd_samplers_kdiffusion.py", line 439, in samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={ File "D:\Apps\sd\sd-webui\repo\venv\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "D:\Apps\sd\sd-webui\repo\repositories\k-diffusion\k_diffusion\sampling.py", line 650, in sample_dpmpp_2m_sde h_last = h UnboundLocalError: local variable 'h' referenced before assignment

I fixed it adding h = None in \k-diffusion\k_diffusion\sampling.py line 623

old_denoised = None
h = None
h_last = None

[Yucheng301]

same problem here, have you fixed it?

[ai-tnc]

yep same

      File "/stable-diffusion-webui/modules/sd_samplers_common.py", line 261, in launch_sampling
        return func()
      File "/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py", line 235, in <lambda>
        samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
      File "/usr/local/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
        return func(*args, **kwargs)
      File "/stable-diffusion-webui/repositories/k-diffusion/k_diffusion/sampling.py", line 651, in sample_dpmpp_2m_sde
        h_last = h
    UnboundLocalError: local variable 'h' referenced before assignment