오류 ㅠㅠ #12289

kan12341234 · 2024-05-11T13:58:02Z

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Question

오류 해결 방법좀... ㅠㅠ

2024-05-11 22:53:55,779 - AnimateDiff - INFO - Removing motion module from any memory
2024-05-11 22:54:09,613 - AnimateDiff - INFO - AnimateDiff process start.
2024-05-11 22:54:09,614 - AnimateDiff - INFO - Motion module already injected. Trying to restore.
*** Error running before_process: E:\sd.webui\webui\extensions\sd-webui-animatediff\scripts\animatediff.py
Traceback (most recent call last):
File "E:\sd.webui\webui\modules\scripts.py", line 817, in before_process
script.before_process(p, *script_args)
File "E:\sd.webui\webui\extensions\sd-webui-animatediff\scripts\animatediff.py", line 64, in before_process
motion_module.inject(p.sd_model, params.model)
File "E:\sd.webui\webui\extensions\sd-webui-animatediff\scripts\animatediff_mm.py", line 65, in inject
self.restore(sd_model)
File "E:\sd.webui\webui\extensions\sd-webui-animatediff\scripts\animatediff_mm.py", line 123, in restore
inject_sdxl = sd_model.is_sdxl or self.mm.is_xl
AttributeError: 'NoneType' object has no attribute 'is_xl'

*** Error completing request
*** Arguments: ('task(vthz9g0fphruqc6)', <gradio.routes.Request object at 0x000002256A47AB60>, 'kamado nezuko, 1girl, black hair, forehead, hair ribbon, japanese clothes, kimono, long hair, multicolored hair, open mouth, pink eyes, pink kimono, pink ribbon, ribbon, smile, very long hair, sky, ((masterpiece)) lora:kamado_nezuko_offset:1(masterpiece, best quality, extremely detailed CG, beautiful detailed eyes, ultra-detailed, intricate details, 8k wallpaper, elaborate features) ', '(worst quality, normal quality, low quality:1.4), lowres, blurry badhandv4 easynegative', [], 1, 1, 7, 768, 512, False, 0.7, 2, 'Latent', 0, 0, 0, 'Use same checkpoint', 'Use same sampler', 'Use same scheduler', '', '', [], 0, 20, 'DPM++ 2M', 'Automatic', False, '', 0.8, -1, False, -1, 0, 0, 0, <scripts.animatediff_ui.AnimateDiffProcess object at 0x000002256A49B0A0>, ControlNetUnit(is_ui=True, input_mode=<InputMode.SIMPLE: 'simple'>, batch_images='', output_dir='', loopback=False, enabled=False, module='none', model='None', weight=1.0, image=None, resize_mode=<ResizeMode.INNER_FIT: 'Crop and Resize'>, low_vram=False, processor_res=-1, threshold_a=-1.0, threshold_b=-1.0, guidance_start=0.0, guidance_end=1.0, pixel_perfect=False, control_mode=<ControlMode.BALANCED: 'Balanced'>, inpaint_crop_input_image=False, hr_option=<HiResFixOption.BOTH: 'Both'>, save_detected_map=True, advanced_weighting=None, effective_region_mask=None, pulid_mode=<PuLIDMode.FIDELITY: 'Fidelity'>, ipadapter_input=None, mask=None, batch_mask_dir=None, animatediff_batch=False, batch_modifiers=[], batch_image_files=[]), ControlNetUnit(is_ui=True, input_mode=<InputMode.SIMPLE: 'simple'>, batch_images='', output_dir='', loopback=False, enabled=False, module='none', model='None', weight=1.0, image=None, resize_mode=<ResizeMode.INNER_FIT: 'Crop and Resize'>, low_vram=False, processor_res=-1, threshold_a=-1.0, threshold_b=-1.0, guidance_start=0.0, guidance_end=1.0, pixel_perfect=False, control_mode=<ControlMode.BALANCED: 'Balanced'>, inpaint_crop_input_image=False, hr_option=<HiResFixOption.BOTH: 'Both'>, save_detected_map=True, advanced_weighting=None, effective_region_mask=None, pulid_mode=<PuLIDMode.FIDELITY: 'Fidelity'>, ipadapter_input=None, mask=None, batch_mask_dir=None, animatediff_batch=False, batch_modifiers=[], batch_image_files=[]), ControlNetUnit(is_ui=True, input_mode=<InputMode.SIMPLE: 'simple'>, batch_images='', output_dir='', loopback=False, enabled=False, module='none', model='None', weight=1.0, image=None, resize_mode=<ResizeMode.INNER_FIT: 'Crop and Resize'>, low_vram=False, processor_res=-1, threshold_a=-1.0, threshold_b=-1.0, guidance_start=0.0, guidance_end=1.0, pixel_perfect=False, control_mode=<ControlMode.BALANCED: 'Balanced'>, inpaint_crop_input_image=False, hr_option=<HiResFixOption.BOTH: 'Both'>, save_detected_map=True, advanced_weighting=None, effective_region_mask=None, pulid_mode=<PuLIDMode.FIDELITY: 'Fidelity'>, ipadapter_input=None, mask=None, batch_mask_dir=None, animatediff_batch=False, batch_modifiers=[], batch_image_files=[]), False, False, 'positive', 'comma', 0, False, False, 'start', '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, False, False, False, 0, False, None, None, False, None, None, False, None, None, False, 50, False, False, 'positive', 'comma', 0, False, False, 'start', '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, False, False, False, 0, False) {}
Traceback (most recent call last):
File "E:\sd.webui\webui\modules\call_queue.py", line 57, in f
res = list(func(*args, **kwargs))
File "E:\sd.webui\webui\modules\call_queue.py", line 36, in f
res = func(*args, **kwargs)
File "E:\sd.webui\webui\modules\txt2img.py", line 109, in txt2img
processed = processing.process_images(p)
File "E:\sd.webui\webui\modules\processing.py", line 845, in process_images
res = process_images_inner(p)
File "E:\sd.webui\webui\extensions\sd-webui-controlnet\scripts\batch_hijack.py", line 48, in processing_process_images_hijack
return getattr(processing, '__controlnet_original_process_images_inner')(p, *args, **kwargs)
File "E:\sd.webui\webui\modules\processing.py", line 942, in process_images_inner
p.rng = rng.ImageRNG((opt_C, p.height // opt_f, p.width // opt_f), p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, seed_resize_from_h=p.seed_resize_from_h, seed_resize_from_w=p.seed_resize_from_w)
File "E:\sd.webui\webui\modules\rng.py", line 108, in init
self.generators = [create_generator(seed) for seed in seeds]
File "E:\sd.webui\webui\modules\rng.py", line 108, in
self.generators = [create_generator(seed) for seed in seeds]
File "E:\sd.webui\webui\modules\rng.py", line 80, in create_generator
generator = torch.Generator(device).manual_seed(int(seed))
RuntimeError: CUDA error: device-side assert triggered
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.

Traceback (most recent call last):
File "E:\sd.webui\webui\venv\lib\site-packages\gradio\routes.py", line 488, in run_predict
output = await app.get_blocks().process_api(
File "E:\sd.webui\webui\venv\lib\site-packages\gradio\blocks.py", line 1431, in process_api
result = await self.call_function(
File "E:\sd.webui\webui\venv\lib\site-packages\gradio\blocks.py", line 1103, in call_function
prediction = await anyio.to_thread.run_sync(
File "E:\sd.webui\webui\venv\lib\site-packages\anyio\to_thread.py", line 33, in run_sync
return await get_asynclib().run_sync_in_worker_thread(
File "E:\sd.webui\webui\venv\lib\site-packages\anyio_backends_asyncio.py", line 877, in run_sync_in_worker_thread
return await future
File "E:\sd.webui\webui\venv\lib\site-packages\anyio_backends_asyncio.py", line 807, in run
result = context.run(func, *args)
File "E:\sd.webui\webui\venv\lib\site-packages\gradio\utils.py", line 707, in wrapper
response = f(args, **kwargs)
File "E:\sd.webui\webui\modules\call_queue.py", line 95, in f
mem_stats = {k: -(v//-(10241024)) for k, v in shared.mem_mon.stop().items()}
File "E:\sd.webui\webui\modules\memmon.py", line 92, in stop
return self.read()
File "E:\sd.webui\webui\modules\memmon.py", line 77, in read
free, total = self.cuda_mem_get_info()
File "E:\sd.webui\webui\modules\memmon.py", line 34, in cuda_mem_get_info
return torch.cuda.mem_get_info(index)
File "E:\sd.webui\webui\venv\lib\site-packages\torch\cuda\memory.py", line 663, in mem_get_info
return torch.cuda.cudart().cudaMemGetInfo(device)
RuntimeError: CUDA error: device-side assert triggered
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.

Additional

2024-05-11 22:53:55,779 - AnimateDiff - INFO - Removing motion module from any memory
2024-05-11 22:54:09,613 - AnimateDiff - INFO - AnimateDiff process start.
2024-05-11 22:54:09,614 - AnimateDiff - INFO - Motion module already injected. Trying to restore.
*** Error running before_process: E:\sd.webui\webui\extensions\sd-webui-animatediff\scripts\animatediff.py
Traceback (most recent call last):
File "E:\sd.webui\webui\modules\scripts.py", line 817, in before_process
script.before_process(p, *script_args)
File "E:\sd.webui\webui\extensions\sd-webui-animatediff\scripts\animatediff.py", line 64, in before_process
motion_module.inject(p.sd_model, params.model)
File "E:\sd.webui\webui\extensions\sd-webui-animatediff\scripts\animatediff_mm.py", line 65, in inject
self.restore(sd_model)
File "E:\sd.webui\webui\extensions\sd-webui-animatediff\scripts\animatediff_mm.py", line 123, in restore
inject_sdxl = sd_model.is_sdxl or self.mm.is_xl
AttributeError: 'NoneType' object has no attribute 'is_xl'

*** Error completing request
*** Arguments: ('task(vthz9g0fphruqc6)', <gradio.routes.Request object at 0x000002256A47AB60>, 'kamado nezuko, 1girl, black hair, forehead, hair ribbon, japanese clothes, kimono, long hair, multicolored hair, open mouth, pink eyes, pink kimono, pink ribbon, ribbon, smile, very long hair, sky, ((masterpiece)) lora:kamado_nezuko_offset:1(masterpiece, best quality, extremely detailed CG, beautiful detailed eyes, ultra-detailed, intricate details, 8k wallpaper, elaborate features) ', '(worst quality, normal quality, low quality:1.4), lowres, blurry badhandv4 easynegative', [], 1, 1, 7, 768, 512, False, 0.7, 2, 'Latent', 0, 0, 0, 'Use same checkpoint', 'Use same sampler', 'Use same scheduler', '', '', [], 0, 20, 'DPM++ 2M', 'Automatic', False, '', 0.8, -1, False, -1, 0, 0, 0, <scripts.animatediff_ui.AnimateDiffProcess object at 0x000002256A49B0A0>, ControlNetUnit(is_ui=True, input_mode=<InputMode.SIMPLE: 'simple'>, batch_images='', output_dir='', loopback=False, enabled=False, module='none', model='None', weight=1.0, image=None, resize_mode=<ResizeMode.INNER_FIT: 'Crop and Resize'>, low_vram=False, processor_res=-1, threshold_a=-1.0, threshold_b=-1.0, guidance_start=0.0, guidance_end=1.0, pixel_perfect=False, control_mode=<ControlMode.BALANCED: 'Balanced'>, inpaint_crop_input_image=False, hr_option=<HiResFixOption.BOTH: 'Both'>, save_detected_map=True, advanced_weighting=None, effective_region_mask=None, pulid_mode=<PuLIDMode.FIDELITY: 'Fidelity'>, ipadapter_input=None, mask=None, batch_mask_dir=None, animatediff_batch=False, batch_modifiers=[], batch_image_files=[]), ControlNetUnit(is_ui=True, input_mode=<InputMode.SIMPLE: 'simple'>, batch_images='', output_dir='', loopback=False, enabled=False, module='none', model='None', weight=1.0, image=None, resize_mode=<ResizeMode.INNER_FIT: 'Crop and Resize'>, low_vram=False, processor_res=-1, threshold_a=-1.0, threshold_b=-1.0, guidance_start=0.0, guidance_end=1.0, pixel_perfect=False, control_mode=<ControlMode.BALANCED: 'Balanced'>, inpaint_crop_input_image=False, hr_option=<HiResFixOption.BOTH: 'Both'>, save_detected_map=True, advanced_weighting=None, effective_region_mask=None, pulid_mode=<PuLIDMode.FIDELITY: 'Fidelity'>, ipadapter_input=None, mask=None, batch_mask_dir=None, animatediff_batch=False, batch_modifiers=[], batch_image_files=[]), ControlNetUnit(is_ui=True, input_mode=<InputMode.SIMPLE: 'simple'>, batch_images='', output_dir='', loopback=False, enabled=False, module='none', model='None', weight=1.0, image=None, resize_mode=<ResizeMode.INNER_FIT: 'Crop and Resize'>, low_vram=False, processor_res=-1, threshold_a=-1.0, threshold_b=-1.0, guidance_start=0.0, guidance_end=1.0, pixel_perfect=False, control_mode=<ControlMode.BALANCED: 'Balanced'>, inpaint_crop_input_image=False, hr_option=<HiResFixOption.BOTH: 'Both'>, save_detected_map=True, advanced_weighting=None, effective_region_mask=None, pulid_mode=<PuLIDMode.FIDELITY: 'Fidelity'>, ipadapter_input=None, mask=None, batch_mask_dir=None, animatediff_batch=False, batch_modifiers=[], batch_image_files=[]), False, False, 'positive', 'comma', 0, False, False, 'start', '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, False, False, False, 0, False, None, None, False, None, None, False, None, None, False, 50, False, False, 'positive', 'comma', 0, False, False, 'start', '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, False, False, False, 0, False) {}
Traceback (most recent call last):
File "E:\sd.webui\webui\modules\call_queue.py", line 57, in f
res = list(func(*args, **kwargs))
File "E:\sd.webui\webui\modules\call_queue.py", line 36, in f
res = func(*args, **kwargs)
File "E:\sd.webui\webui\modules\txt2img.py", line 109, in txt2img
processed = processing.process_images(p)
File "E:\sd.webui\webui\modules\processing.py", line 845, in process_images
res = process_images_inner(p)
File "E:\sd.webui\webui\extensions\sd-webui-controlnet\scripts\batch_hijack.py", line 48, in processing_process_images_hijack
return getattr(processing, '__controlnet_original_process_images_inner')(p, *args, **kwargs)
File "E:\sd.webui\webui\modules\processing.py", line 942, in process_images_inner
p.rng = rng.ImageRNG((opt_C, p.height // opt_f, p.width // opt_f), p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, seed_resize_from_h=p.seed_resize_from_h, seed_resize_from_w=p.seed_resize_from_w)
File "E:\sd.webui\webui\modules\rng.py", line 108, in init
self.generators = [create_generator(seed) for seed in seeds]
File "E:\sd.webui\webui\modules\rng.py", line 108, in
self.generators = [create_generator(seed) for seed in seeds]
File "E:\sd.webui\webui\modules\rng.py", line 80, in create_generator
generator = torch.Generator(device).manual_seed(int(seed))
RuntimeError: CUDA error: device-side assert triggered
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.

Traceback (most recent call last):
File "E:\sd.webui\webui\venv\lib\site-packages\gradio\routes.py", line 488, in run_predict
output = await app.get_blocks().process_api(
File "E:\sd.webui\webui\venv\lib\site-packages\gradio\blocks.py", line 1431, in process_api
result = await self.call_function(
File "E:\sd.webui\webui\venv\lib\site-packages\gradio\blocks.py", line 1103, in call_function
prediction = await anyio.to_thread.run_sync(
File "E:\sd.webui\webui\venv\lib\site-packages\anyio\to_thread.py", line 33, in run_sync
return await get_asynclib().run_sync_in_worker_thread(
File "E:\sd.webui\webui\venv\lib\site-packages\anyio_backends_asyncio.py", line 877, in run_sync_in_worker_thread
return await future
File "E:\sd.webui\webui\venv\lib\site-packages\anyio_backends_asyncio.py", line 807, in run
result = context.run(func, *args)
File "E:\sd.webui\webui\venv\lib\site-packages\gradio\utils.py", line 707, in wrapper
response = f(args, **kwargs)
File "E:\sd.webui\webui\modules\call_queue.py", line 95, in f
mem_stats = {k: -(v//-(10241024)) for k, v in shared.mem_mon.stop().items()}
File "E:\sd.webui\webui\modules\memmon.py", line 92, in stop
return self.read()
File "E:\sd.webui\webui\modules\memmon.py", line 77, in read
free, total = self.cuda_mem_get_info()
File "E:\sd.webui\webui\modules\memmon.py", line 34, in cuda_mem_get_info
return torch.cuda.mem_get_info(index)
File "E:\sd.webui\webui\venv\lib\site-packages\torch\cuda\memory.py", line 663, in mem_get_info
return torch.cuda.cudart().cudaMemGetInfo(device)
RuntimeError: CUDA error: device-side assert triggered
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.

The text was updated successfully, but these errors were encountered:

github-actions · 2024-05-11T13:58:28Z

👋 Hello @kan12341234, thank you for your interest in Ultralytics YOLOv8 🚀! We recommend a visit to the Docs for new users where you can find many Python and CLI usage examples and where many of the most common questions may already be answered.

If this is a 🐛 Bug Report, please provide a minimum reproducible example to help us debug it.

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pip install ultralytics

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glenn-jocher · 2024-05-11T17:57:12Z

@kan12341234 안녕하세요! 오류로 인해 어려움을 겪고 계신 것 같아 걱정이 되네요. 😟

제시된 에러 메시지를 살펴보니, AttributeError: 'NoneType' object has no attribute 'is_xl' 부분에서 문제가 발생하는 것 같습니다. 여기서 NoneType 오류는 대상 객체가 None일 때 발생하는데, 이는 motion_module 또는 sd_model 중 하나가 제대로 초기화되지 않았을 가능성이 있습니다.

처음으로 해볼 수 있는 몇 가지 사항은 다음과 같습니다:

모든 관련 객체가 올바르게 초기화되었는지 확인해보세요.
CUDA 관련 에러를 해결하기 위해, 실행 환경에 CUDA_LAUNCH_BLOCKING=1 환경 변수를 설정하여 더 자세한 에러 로그를 얻을 수 있도록 해보세요.

또한, CUDA 관련 이슈로 보이는데, GPU와 관련된 설정(예: driver, CUDA 버전)이 적절히 설정되어 있는지도 점검해 보시기 바랍니다.

아래는 환경 변수 설정 방법 예시입니다:

export CUDA_LAUNCH_BLOCKING=1
python your_script.py

이러한 단계로도 문제가 해결되지 않는다면, 좀 더 자세한 상황을 알려주시면 추가적인 조언을 드리겠습니다!

kan12341234 added the question Further information is requested label May 11, 2024

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오류 ㅠㅠ #12289

오류 ㅠㅠ #12289

kan12341234 commented May 11, 2024

github-actions bot commented May 11, 2024

glenn-jocher commented May 11, 2024

오류 ㅠㅠ #12289

오류 ㅠㅠ #12289

Comments

kan12341234 commented May 11, 2024

Search before asking

Question

Additional

github-actions bot commented May 11, 2024

Install

Environments

Status

glenn-jocher commented May 11, 2024