Native API failed. Native API returns: 20 (UR_RESULT_ERROR_DEVICE_LOST)

Open foolbird007 opened this issue 9 months ago • 0 comments
Expected Behavior

Run workflow
Actual Behavior

My graphics card is ARC B580 12G, and every time I run the FLUX model, I have this problem. I am not sure if it is a memory issue, so I switched to a non FLUX workflow, but the problem still persists. It seems to occur in the "K sampler" every time, and the graphics card runs 100%. However, SD1.5 and SDXL models do not report errors, only FLUX and workflows with amplification function will report errors
Steps to Reproduce

text.json
The problem lies in the "sampler", FLUX model, or any workflow with an enlarged model
Debug Logs

# ComfyUI Error Report
## Error Details
- **Node ID:** 3
- **Node Type:** KSampler
- **Exception Type:** RuntimeError
- **Exception Message:** Native API failed. Native API returns: 20 (UR_RESULT_ERROR_DEVICE_LOST)
## Stack Trace

  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\execution.py", line 345, in execute
    output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)

  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\execution.py", line 220, in get_output_data
    return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)

  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\execution.py", line 192, in _map_node_over_list
    process_inputs(input_dict, i)

  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\execution.py", line 181, in process_inputs
    results.append(getattr(obj, func)(**inputs))

  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\nodes.py", line 1547, in sample
    return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)

  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\nodes.py", line 1514, in common_ksampler
    samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,

  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\custom_nodes\comfyui-impact-pack\modules\impact\sample_error_enhancer.py", line 22, in informative_sample
    raise e

  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\custom_nodes\comfyui-impact-pack\modules\impact\sample_error_enhancer.py", line 9, in informative_sample
    return original_sample(*args, **kwargs)  # This code helps interpret error messages that occur within exceptions but does not have any impact on other operations.

  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\comfy\sample.py", line 45, in sample
    samples = sampler.sample(noise, positive, negative, 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 "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\custom_nodes\ComfyUI-TiledDiffusion-main\utils.py", line 51, in KSampler_sample
    return orig_fn(*args, **kwargs)

  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\comfy\samplers.py", line 1133, in sample
    return sample(self.model, noise, positive, negative, cfg, self.device, sampler, sigmas, self.model_options, latent_image=latent_image, denoise_mask=denoise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed)

  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\comfy\samplers.py", line 1023, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)

  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\comfy\samplers.py", line 1008, in sample
    output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)

  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\comfy\patcher_extension.py", line 111, in execute
    return self.original(*args, **kwargs)

  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\comfy\samplers.py", line 976, in outer_sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)

  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\comfy\samplers.py", line 959, in inner_sample
    samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)

  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\comfy\patcher_extension.py", line 111, in execute
    return self.original(*args, **kwargs)

  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\custom_nodes\ComfyUI-TiledDiffusion-main\utils.py", line 34, in KSAMPLER_sample
    return orig_fn(*args, **kwargs)

  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\comfy\samplers.py", line 738, in sample
    samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options)

  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\venv\lib\site-packages\torch\utils\_contextlib.py", line 116, in decorate_context
    return func(*args, **kwargs)

  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\comfy\k_diffusion\sampling.py", line 746, in sample_dpmpp_2m
    if old_denoised is None or sigmas[i + 1] == 0:


## System Information
- **ComfyUI Version:** 0.3.28
- **Arguments:** H:\StableDiffusion\ComfyUI-ipex\ComfyUI\main.py --auto-launch --dont-upcast-attention --fp16-unet --fp16-vae --preview-method auto --normalvram --disable-smart-memory --disable-cuda-malloc
- **OS:** nt
- **Python Version:** 3.10.6 (tags/v3.10.6:9c7b4bd, Aug  1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
- **Embedded Python:** false
- **PyTorch Version:** 2.6.0+xpu
## Devices

- **Name:** xpu
  - **Type:** xpu
  - **VRAM Total:** 12450455552
  - **VRAM Free:** 12450455552
  - **Torch VRAM Total:** 0
  - **Torch VRAM Free:** 0

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2025-04-23T18:08:27.502281 - lora key not loaded: lora_unet_output_blocks_5_1_transformer_blocks_1_ff_net_2.lora_down.weight
2025-04-23T18:08:27.502281 - lora key not loaded: lora_unet_output_blocks_5_1_transformer_blocks_1_ff_net_2.lora_up.weight
2025-04-23T18:08:27.508204 - Requested to load ControlNet
2025-04-23T18:08:27.508204 - Requested to load ControlNet
2025-04-23T18:08:27.508204 - Requested to load BaseModel
2025-04-23T18:08:27.810101 - loaded completely 7035.71552734375 689.0852355957031 True
2025-04-23T18:08:28.018851 - loaded completely 6340.32734375 689.0852355957031 True
2025-04-23T18:08:28.118612 - ERROR lora diffusion_model.output_blocks.5.1.transformer_blocks.0.ff.net.0.proj.weight shape '[10240, 1280]' is invalid for input of size 3276800
2025-04-23T18:08:28.135033 - ERROR lora diffusion_model.output_blocks.4.1.transformer_blocks.0.ff.net.0.proj.weight shape '[10240, 1280]' is invalid for input of size 3276800
2025-04-23T18:08:28.148823 - ERROR lora diffusion_model.output_blocks.3.1.transformer_blocks.0.ff.net.0.proj.weight shape '[10240, 1280]' is invalid for input of size 3276800
2025-04-23T18:08:28.257136 - ERROR lora diffusion_model.output_blocks.5.1.transformer_blocks.0.ff.net.2.weight shape '[1280, 5120]' is invalid for input of size 1638400
2025-04-23T18:08:28.266165 - ERROR lora diffusion_model.output_blocks.4.1.transformer_blocks.0.ff.net.2.weight shape '[1280, 5120]' is invalid for input of size 1638400
2025-04-23T18:08:28.275354 - ERROR lora diffusion_model.output_blocks.3.1.transformer_blocks.0.ff.net.2.weight shape '[1280, 5120]' is invalid for input of size 1638400
2025-04-23T18:08:28.371549 - ERROR lora diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_out.0.weight shape '[1280, 1280]' is invalid for input of size 409600
2025-04-23T18:08:28.376221 - ERROR lora diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_out.0.weight shape '[1280, 1280]' is invalid for input of size 409600
2025-04-23T18:08:28.379494 - ERROR lora diffusion_model.output_blocks.5.1.proj_out.weight shape '[1280, 1280, 1, 1]' is invalid for input of size 409600
2025-04-23T18:08:28.384315 - ERROR lora diffusion_model.output_blocks.5.1.proj_in.weight shape '[1280, 1280, 1, 1]' is invalid for input of size 409600
2025-04-23T18:08:28.388495 - ERROR lora diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_out.0.weight shape '[1280, 1280]' is invalid for input of size 409600
2025-04-23T18:08:28.394751 - ERROR lora diffusion_model.output_blocks.4.1.transformer_blocks.0.attn1.to_out.0.weight shape '[1280, 1280]' is invalid for input of size 409600
2025-04-23T18:08:28.398519 - ERROR lora diffusion_model.output_blocks.4.1.proj_out.weight shape '[1280, 1280, 1, 1]' is invalid for input of size 409600
2025-04-23T18:08:28.403197 - ERROR lora diffusion_model.output_blocks.4.1.proj_in.weight shape '[1280, 1280, 1, 1]' is invalid for input of size 409600
2025-04-23T18:08:28.407785 - ERROR lora diffusion_model.output_blocks.3.1.transformer_blocks.0.attn2.to_out.0.weight shape '[1280, 1280]' is invalid for input of size 409600
2025-04-23T18:08:28.412273 - ERROR lora diffusion_model.output_blocks.3.1.transformer_blocks.0.attn1.to_out.0.weight shape '[1280, 1280]' is invalid for input of size 409600
2025-04-23T18:08:28.415601 - ERROR lora diffusion_model.output_blocks.3.1.proj_out.weight shape '[1280, 1280, 1, 1]' is invalid for input of size 409600
2025-04-23T18:08:28.419159 - ERROR lora diffusion_model.output_blocks.3.1.proj_in.weight shape '[1280, 1280, 1, 1]' is invalid for input of size 409600
2025-04-23T18:08:28.534259 - ERROR lora diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_q.weight shape '[1280, 1280]' is invalid for input of size 409600
2025-04-23T18:08:28.537805 - ERROR lora diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_v.weight shape '[1280, 1280]' is invalid for input of size 409600
2025-04-23T18:08:28.542335 - ERROR lora diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_q.weight shape '[1280, 1280]' is invalid for input of size 409600
2025-04-23T18:08:28.547318 - ERROR lora diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_k.weight shape '[1280, 1280]' is invalid for input of size 409600
2025-04-23T18:08:28.551141 - ERROR lora diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_q.weight shape '[1280, 1280]' is invalid for input of size 409600
2025-04-23T18:08:28.555194 - ERROR lora diffusion_model.output_blocks.4.1.transformer_blocks.0.attn1.to_v.weight shape '[1280, 1280]' is invalid for input of size 409600
2025-04-23T18:08:28.559948 - ERROR lora diffusion_model.output_blocks.4.1.transformer_blocks.0.attn1.to_q.weight shape '[1280, 1280]' is invalid for input of size 409600
2025-04-23T18:08:28.563046 - ERROR lora diffusion_model.output_blocks.4.1.transformer_blocks.0.attn1.to_k.weight shape '[1280, 1280]' is invalid for input of size 409600
2025-04-23T18:08:28.567327 - ERROR lora diffusion_model.output_blocks.3.1.transformer_blocks.0.attn2.to_q.weight shape '[1280, 1280]' is invalid for input of size 409600
2025-04-23T18:08:28.571681 - ERROR lora diffusion_model.output_blocks.3.1.transformer_blocks.0.attn1.to_v.weight shape '[1280, 1280]' is invalid for input of size 409600
2025-04-23T18:08:28.576640 - ERROR lora diffusion_model.output_blocks.3.1.transformer_blocks.0.attn1.to_q.weight shape '[1280, 1280]' is invalid for input of size 409600
2025-04-23T18:08:28.580979 - ERROR lora diffusion_model.output_blocks.3.1.transformer_blocks.0.attn1.to_k.weight shape '[1280, 1280]' is invalid for input of size 409600
2025-04-23T18:08:28.687239 - ERROR lora diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_v.weight shape '[1280, 768]' is invalid for input of size 1310720
2025-04-23T18:08:28.744311 - ERROR lora diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_k.weight shape '[1280, 768]' is invalid for input of size 1310720
2025-04-23T18:08:28.748800 - ERROR lora diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_v.weight shape '[1280, 768]' is invalid for input of size 1310720
2025-04-23T18:08:28.752809 - ERROR lora diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_k.weight shape '[1280, 768]' is invalid for input of size 1310720
2025-04-23T18:08:28.756018 - ERROR lora diffusion_model.output_blocks.3.1.transformer_blocks.0.attn2.to_v.weight shape '[1280, 768]' is invalid for input of size 1310720
2025-04-23T18:08:28.760355 - ERROR lora diffusion_model.output_blocks.3.1.transformer_blocks.0.attn2.to_k.weight shape '[1280, 768]' is invalid for input of size 1310720
2025-04-23T18:08:28.764524 - ERROR lora diffusion_model.middle_block.1.transformer_blocks.0.attn2.to_v.weight shape '[1280, 768]' is invalid for input of size 2621440
2025-04-23T18:08:28.768183 - ERROR lora diffusion_model.middle_block.1.transformer_blocks.0.attn2.to_k.weight shape '[1280, 768]' is invalid for input of size 2621440
2025-04-23T18:08:28.771969 - ERROR lora diffusion_model.input_blocks.8.1.transformer_blocks.0.attn2.to_v.weight shape '[1280, 768]' is invalid for input of size 2621440
2025-04-23T18:08:28.776383 - ERROR lora diffusion_model.input_blocks.8.1.transformer_blocks.0.attn2.to_k.weight shape '[1280, 768]' is invalid for input of size 2621440
2025-04-23T18:08:28.781581 - ERROR lora diffusion_model.input_blocks.7.1.transformer_blocks.0.attn2.to_v.weight shape '[1280, 768]' is invalid for input of size 2621440
2025-04-23T18:08:28.784700 - ERROR lora diffusion_model.input_blocks.7.1.transformer_blocks.0.attn2.to_k.weight shape '[1280, 768]' is invalid for input of size 2621440
2025-04-23T18:08:28.833494 - ERROR lora diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_v.weight shape '[640, 768]' is invalid for input of size 1310720
2025-04-23T18:08:28.836458 - ERROR lora diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_k.weight shape '[640, 768]' is invalid for input of size 1310720
2025-04-23T18:08:28.840547 - ERROR lora diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_v.weight shape '[640, 768]' is invalid for input of size 1310720
2025-04-23T18:08:28.844337 - ERROR lora diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_k.weight shape '[640, 768]' is invalid for input of size 1310720
2025-04-23T18:08:29.371444 - loaded completely 5645.98408203125 1639.406135559082 True
2025-04-23T18:09:13.715094 - !!! Exception during processing !!! Native API failed. Native API returns: 20 (UR_RESULT_ERROR_DEVICE_LOST)
2025-04-23T18:09:13.786699 - Traceback (most recent call last):
  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\execution.py", line 345, in execute
    output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\execution.py", line 220, in get_output_data
    return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb)
  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\execution.py", line 192, in _map_node_over_list
    process_inputs(input_dict, i)
  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\execution.py", line 181, in process_inputs
    results.append(getattr(obj, func)(**inputs))
  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\nodes.py", line 1547, in sample
    return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\nodes.py", line 1514, in common_ksampler
    samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\custom_nodes\comfyui-impact-pack\modules\impact\sample_error_enhancer.py", line 22, in informative_sample
    raise e
  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\custom_nodes\comfyui-impact-pack\modules\impact\sample_error_enhancer.py", line 9, in informative_sample
    return original_sample(*args, **kwargs)  # This code helps interpret error messages that occur within exceptions but does not have any impact on other operations.
  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\comfy\sample.py", line 45, in sample
    samples = sampler.sample(noise, positive, negative, 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 "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\custom_nodes\ComfyUI-TiledDiffusion-main\utils.py", line 51, in KSampler_sample
    return orig_fn(*args, **kwargs)
  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\comfy\samplers.py", line 1133, in sample
    return sample(self.model, noise, positive, negative, cfg, self.device, sampler, sigmas, self.model_options, latent_image=latent_image, denoise_mask=denoise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed)
  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\comfy\samplers.py", line 1023, in sample
    return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\comfy\samplers.py", line 1008, in sample
    output = executor.execute(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\comfy\patcher_extension.py", line 111, in execute
    return self.original(*args, **kwargs)
  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\comfy\samplers.py", line 976, in outer_sample
    output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\comfy\samplers.py", line 959, in inner_sample
    samples = executor.execute(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\comfy\patcher_extension.py", line 111, in execute
    return self.original(*args, **kwargs)
  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\custom_nodes\ComfyUI-TiledDiffusion-main\utils.py", line 34, in KSAMPLER_sample
    return orig_fn(*args, **kwargs)
  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\comfy\samplers.py", line 738, in sample
    samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options)
  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\venv\lib\site-packages\torch\utils\_contextlib.py", line 116, in decorate_context
    return func(*args, **kwargs)
  File "H:\StableDiffusion\ComfyUI-ipex\ComfyUI\comfy\k_diffusion\sampling.py", line 746, in sample_dpmpp_2m
    if old_denoised is None or sigmas[i + 1] == 0:
RuntimeError: Native API failed. Native API returns: 20 (UR_RESULT_ERROR_DEVICE_LOST)



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## Additional Context
(Please add any additional context or steps to reproduce the error here)
Other

I'm not sure if it's due to insufficient video memory or other reasons
Apr 23 '25 10:04 foolbird007