File "/home/poisenbery/AI_Stuff/ComfyUI/execution.py", line 257, in execute
recursive_execute(self.server, prompt, self.outputs, x, extra_data, executed, prompt_id, self.outputs_ui)
File "/home/poisenbery/AI_Stuff/ComfyUI/execution.py", line 120, in recursive_execute
recursive_execute(server, prompt, outputs, input_unique_id, extra_data, executed, prompt_id, outputs_ui)
File "/home/poisenbery/AI_Stuff/ComfyUI/execution.py", line 128, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "/home/poisenbery/AI_Stuff/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 "/home/poisenbery/AI_Stuff/ComfyUI/execution.py", line 68, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "/home/poisenbery/AI_Stuff/ComfyUI/custom_nodes/ComfyUI-Impact-Pack/impact_pack.py", line 846, in doit
refined_latent = IterativeLatentUpscale().doit(latent, upscale_factor, steps, temp_prefix, upscaler, unique_id)
File "/home/poisenbery/AI_Stuff/ComfyUI/custom_nodes/ComfyUI-Impact-Pack/impact_pack.py", line 801, in doit
current_latent = upscaler.upscale_shape(step_info, current_latent, new_w, new_h, temp_prefix)
File "/home/poisenbery/AI_Stuff/ComfyUI/custom_nodes/ComfyUI-Impact-Pack/impact_core.py", line 1106, in upscale_shape
refined_latent = self.tiled_ksample(upscaled_latent)
File "/home/poisenbery/AI_Stuff/ComfyUI/custom_nodes/ComfyUI-Impact-Pack/impact_core.py", line 1073, in tiled_ksample
return TiledKSampler().sample(model, seed, tile_width, tile_height, tiling_strategy, steps, cfg, sampler_name, scheduler,
File "/home/poisenbery/AI_Stuff/ComfyUI/custom_nodes/ComfyUI_TiledKSampler/nodes.py", line 266, in sample
return sample_common(model, 'enable', seed, tile_width, tile_height, tiling_strategy, steps_total, cfg, sampler_name, scheduler, positive, negative, latent_image, steps_total-steps, steps_total, 'disable', denoise=1.0)
File "/home/poisenbery/AI_Stuff/ComfyUI/custom_nodes/ComfyUI_TiledKSampler/nodes.py", line 230, in sample_common
tile_result = sampler.sample(tiled_noise, pos, neg, cfg=cfg, latent_image=tiled_latent, start_step=start_at_step + i * tile_steps, last_step=start_at_step + i*tile_steps + tile_steps, force_full_denoise=force_full_denoise and i+1 == end_at_step - start_at_step, denoise_mask=tiled_mask, callback=callback, disable_pbar=True)
File "/home/poisenbery/AI_Stuff/ComfyUI/comfy/samplers.py", line 684, in sample
samples = getattr(k_diffusion_sampling, "sample_{}".format(self.sampler))(self.model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar)
File "/home/poisenbery/AI_Stuff/ComfyUI/venv/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/home/poisenbery/AI_Stuff/ComfyUI/comfy/k_diffusion/sampling.py", line 649, in sample_dpmpp_2m_sde
h_last = h
UnboundLocalError: local variable 'h' referenced before assignment