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generation crashing when NGSM enabled
increase negative guidance minumum sigma, I used 0.4
generation crash with error
Google Chrome
sysinfo-2024-12-29-09-32.json
To load target model SDXL Begin to load 1 model Reuse 1 loaded models [Memory Management] Current Free GPU Memory (MB) = 9211.071779251099 [Memory Management] Model Memory (MB) = 4894.0283203125 [Memory Management] Minimal Inference Memory (MB) = 1024.0 [Memory Management] Estimated Remaining GPU Memory (MB) = 3293.0434589385986 Moving model(s) has taken 2.05 seconds 38%|███████████████████████████████████████████████████████████████████████████████████████████▉ | 6/16 [00:07<00:12, 1.29s/it]Applying NGMS at step 18: s_min_uncond = 1, sigma = 0.9869999885559082 | 12/32 [01:03<01:13, 3.66s/it] 38%|███████████████████████████████████████████████████████████████████████████████████████████▉ | 6/16 [00:08<00:13, 1.33s/it] Traceback (most recent call last): File "C:\Users\PlayLogitech\Desktop\stable-diffusion-webui-reForge\modules_forge\main_thread.py", line 37, in loop task.work() File "C:\Users\PlayLogitech\Desktop\stable-diffusion-webui-reForge\modules_forge\main_thread.py", line 26, in work self.result = self.func(*self.args, **self.kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\PlayLogitech\Desktop\stable-diffusion-webui-reForge\modules\txt2img.py", line 114, in txt2img_function processed = processing.process_images(p) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\PlayLogitech\Desktop\stable-diffusion-webui-reForge\modules\processing.py", line 2679, in process_images res = process_images_inner(p) ^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\PlayLogitech\Desktop\stable-diffusion-webui-reForge\modules\processing.py", line 2839, 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 "C:\Users\PlayLogitech\Desktop\stable-diffusion-webui-reForge\modules\processing.py", line 3214, in sample samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\PlayLogitech\Desktop\stable-diffusion-webui-reForge\modules\sd_samplers_kdiffusion.py", line 295, in sample 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 "C:\Users\PlayLogitech\Desktop\stable-diffusion-webui-reForge\modules\sd_samplers_common.py", line 280, in launch_sampling return func() ^^^^^^ File "C:\Users\PlayLogitech\Desktop\stable-diffusion-webui-reForge\modules\sd_samplers_kdiffusion.py", line 295, 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 "C:\Users\PlayLogitech\Desktop\stable-diffusion-webui-reForge\venv\Lib\site-packages\torch\utils\_contextlib.py", line 116, in decorate_context return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\PlayLogitech\Desktop\stable-diffusion-webui-reForge\extensions\Euler-Smea-Dyn-Sampler\smea_sampling.py", line 250, in sample_Kohaku_LoNyu_Yog denoised = model(x, sigma_hat * s_in, **extra_args) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\PlayLogitech\Desktop\stable-diffusion-webui-reForge\venv\Lib\site-packages\torch\nn\modules\module.py", line 1736, in _wrapped_call_impl return self._call_impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\PlayLogitech\Desktop\stable-diffusion-webui-reForge\venv\Lib\site-packages\torch\nn\modules\module.py", line 1747, in _call_impl return forward_call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\PlayLogitech\Desktop\stable-diffusion-webui-reForge\modules\sd_samplers_cfg_denoiser.py", line 226, in forward denoised = sampling_function(model, x, sigma, None, cond_patched, 1.0, model_options, seed) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\PlayLogitech\Desktop\stable-diffusion-webui-reForge\ldm_patched\modules\samplers.py", line 331, in sampling_function cfg_result = fn(args) ^^^^^^^^ File "C:\Users\PlayLogitech\Desktop\stable-diffusion-webui-reForge\ldm_patched\contrib\external_sag.py", line 155, in post_cfg_function (sag, _) = ldm_patched.modules.samplers.calc_cond_uncond_batch(model, uncond, None, degraded_noised, sigma, model_options) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\PlayLogitech\Desktop\stable-diffusion-webui-reForge\ldm_patched\modules\samplers.py", line 167, in calc_cond_uncond_batch for x in cond: TypeError: 'NoneType' object is not iterable 'NoneType' object is not iterable *** Error completing request *** Arguments: ('task(k6dfy53m2h76mdj)', <gradio.routes.Request object at 0x000001B02E00CC90>, 'highly detailed, realistic, fine fabric detail, absurdres, highly-detailed, best quality, masterpiece, very aesthetic,(very awa),cinematic shot
latest nvidia driver
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What happened?
generation crashing when NGSM enabled
Steps to reproduce the problem
increase negative guidance minumum sigma, I used 0.4
What should have happened?
generation crash with error
What browsers do you use to access the UI ?
Google Chrome
Sysinfo
sysinfo-2024-12-29-09-32.json
Console logs
Additional information
latest nvidia driver
The text was updated successfully, but these errors were encountered: