We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Error occurred when executing SeargeSDXLSampler:
sigma_min and sigma_max must not be 0
File "F:\ComfyUI\ComfyUI_windows_portable\ComfyUI\execution.py", line 145, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "F:\ComfyUI\ComfyUI_windows_portable\ComfyUI\execution.py", line 75, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) File "F:\ComfyUI\ComfyUI_windows_portable\ComfyUI\execution.py", line 68, in map_node_over_list results.append(getattr(obj, func)(**slice_dict(input_data_all, i))) File "F:\ComfyUI\ComfyUI_windows_portable\ComfyUI\custom_nodes\SeargeSDXL\searge_sdxl_sampler_node.py", line 107, in sample base_result = nodes.common_ksampler(base_model, noise_seed, steps, cfg, sampler_name, scheduler, base_positive, base_negative, input_latent, denoise=denoise, disable_noise=False, start_step=start_at_step, last_step=base_steps, force_full_denoise=True) File "F:\ComfyUI\ComfyUI_windows_portable\ComfyUI\nodes.py", line 1052, in common_ksampler samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, File "F:\ComfyUI\ComfyUI_windows_portable\ComfyUI\comfy\sample.py", line 88, in sample samples = sampler.sample(noise, positive_copy, negative_copy, cfg=cfg, latent_image=latent_image, start_step=start_step, last_step=last_step, force_full_denoise=force_full_denoise, denoise_mask=noise_mask, sigmas=sigmas, callback=callback, disable_pbar=disable_pbar, seed=seed) File "F:\ComfyUI\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 669, in sample samples = k_diffusion_sampling.sample_dpm_adaptive(self.model_k, noise, sigma_min, sigmas[0], extra_args=extra_args, callback=k_callback, disable=disable_pbar) File "F:\ComfyUI\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "F:\ComfyUI\ComfyUI_windows_portable\ComfyUI\comfy\k_diffusion\sampling.py", line 507, in sample_dpm_adaptive raise ValueError('sigma_min and sigma_max must not be 0')
The text was updated successfully, but these errors were encountered:
I have to look into it, I never use those samplers
Sorry, something went wrong.
These samplers should work in the next (upcoming) update
No branches or pull requests
Error occurred when executing SeargeSDXLSampler:
sigma_min and sigma_max must not be 0
File "F:\ComfyUI\ComfyUI_windows_portable\ComfyUI\execution.py", line 145, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "F:\ComfyUI\ComfyUI_windows_portable\ComfyUI\execution.py", line 75, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
File "F:\ComfyUI\ComfyUI_windows_portable\ComfyUI\execution.py", line 68, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "F:\ComfyUI\ComfyUI_windows_portable\ComfyUI\custom_nodes\SeargeSDXL\searge_sdxl_sampler_node.py", line 107, in sample
base_result = nodes.common_ksampler(base_model, noise_seed, steps, cfg, sampler_name, scheduler, base_positive, base_negative, input_latent, denoise=denoise, disable_noise=False, start_step=start_at_step, last_step=base_steps, force_full_denoise=True)
File "F:\ComfyUI\ComfyUI_windows_portable\ComfyUI\nodes.py", line 1052, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
File "F:\ComfyUI\ComfyUI_windows_portable\ComfyUI\comfy\sample.py", line 88, in sample
samples = sampler.sample(noise, positive_copy, negative_copy, cfg=cfg, latent_image=latent_image, start_step=start_step, last_step=last_step, force_full_denoise=force_full_denoise, denoise_mask=noise_mask, sigmas=sigmas, callback=callback, disable_pbar=disable_pbar, seed=seed)
File "F:\ComfyUI\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 669, in sample
samples = k_diffusion_sampling.sample_dpm_adaptive(self.model_k, noise, sigma_min, sigmas[0], extra_args=extra_args, callback=k_callback, disable=disable_pbar)
File "F:\ComfyUI\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "F:\ComfyUI\ComfyUI_windows_portable\ComfyUI\comfy\k_diffusion\sampling.py", line 507, in sample_dpm_adaptive
raise ValueError('sigma_min and sigma_max must not be 0')
The text was updated successfully, but these errors were encountered: