I thought u did without captions on these newer lora trainings

GGomezBro I thought u did without captions on these newer lora trainings

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Furkan Gözükara SECourses•9/3/24, 9:23 AM

yes i didnt use

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Furkan Gözükara SECourses•9/3/24, 9:23 AM

it reduces likeliness of a person

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Furkan Gözükara SECourses•9/3/24, 9:24 AM

currently for style i am testing

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Maxivi•9/3/24, 9:24 AM

I have figured out regularzation images

M

Maxivi•9/3/24, 9:24 AM

still testing, but quite close

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Furkan Gözükara SECourses•9/3/24, 9:39 AM

early checkpoints arrived

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Furkan Gözükara SECourses•9/3/24, 9:39 AM

https://huggingface.co/MonsterMMORPG/3D-Cartoon-Style-FLUX/tree/main

MonsterMMORPG/3D-Cartoon-Style-FLUX at main

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Furkan Gözükara SECourses•9/3/24, 10:06 AM

looks like LR is too low. 125 epochs and not learnt

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Furkan Gözükara SECourses•9/3/24, 10:11 AM

maybe i am wrong looks like captioned one works

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Furkan Gözükara SECourses•9/3/24, 10:11 AM

with lora

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Furkan Gözükara SECourses•9/3/24, 10:11 AM

1008-a20ohwx203d20rendering20of20a20treasure20chest-flux1-dev-1762083518.png

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Furkan Gözükara SECourses•9/3/24, 10:11 AM

left org - right lora

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Furkan Gözükara SECourses•9/3/24, 10:19 AM

H

Hastur•9/3/24, 10:33 AM

Very nice results!

HHastur Very nice results!

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Furkan Gözükara SECourses•9/3/24, 10:37 AM

yep

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virginia•9/3/24, 10:39 AM

@Dr. Furkan Gözükara morning, could you double check this, =10:38:16.887 [Info] Self-Start ComfyUI-0 unexpectedly exited (if something failed, change setting LogLevel to Debug to see why!)
10:38:16.887 [Info] Self-Start ComfyUI-0 had errors before shutdown:
[ComfyUI-0/STDERR] Traceback (most recent call last):
[ComfyUI-0/STDERR] File "/kaggle/working/SwarmUI/dlbackend/ComfyUI/main.py", line 87, in <module>
[ComfyUI-0/STDERR] import comfy.utils
[ComfyUI-0/STDERR] File "/kaggle/working/SwarmUI/dlbackend/ComfyUI/comfy/utils.py", line 20, in <module>
[ComfyUI-0/STDERR] import torch
[ComfyUI-0/STDERR] File "/kaggle/working/SwarmUI/dlbackend/ComfyUI/venv/lib/python3.10/site-packages/torch/init.py", line 290, in <module>
[ComfyUI-0/STDERR] from torch._C import * # noqa: F403
[ComfyUI-0/STDERR] ImportError: /kaggle/working/SwarmUI/dlbackend/ComfyUI/venv/lib/python3.10/site-packages/torch/lib/../../nvidia/cusparse/lib/libcusparse.so.12: undefined symbol: __nvJitLinkComplete_12_4, version libnvJitLink.so.12, I have experienced a lot these days

Vvirginia @Dr. Furkan Gözükara morning, could you double check this, =10:38:16.887 [Info]...

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Furkan Gözükara SECourses•9/3/24, 10:40 AM

kaggle broken due to comfyui update

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Furkan Gözükara SECourses•9/3/24, 10:40 AM

i reported to both comfyui developer

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Furkan Gözükara SECourses•9/3/24, 10:40 AM

and pytorch

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Furkan Gözükara SECourses•9/3/24, 10:40 AM

https://github.com/pytorch/pytorch/issues/134929

GitHub

On Kaggle : libcusparse.so.12: undefined symbol: __nvJitLinkComplet...

Describe the bug I have tried everything but no luck Waiting your inputs to try more I tried torch 2.4.0, 2.5 - dev, cu 118, cu121 and cu124 - all same error This below code - I got the same erro...

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Furkan Gözükara SECourses•9/3/24, 10:40 AM

no solution yet

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Tacite•9/3/24, 11:00 AM

@Dr. Furkan Gözükara I just downloaded your JoyCaption V12 zip file. Inside is the V11 and also got the NumPy error

TTacite @Dr. Furkan Gözükara I just downloaded your JoyCaption V12 zip file. Inside is t...

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Furkan Gözükara SECourses•9/3/24, 11:03 AM

pythonm mismatch very likely

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Furkan Gözükara SECourses•9/3/24, 11:03 AM

what is ypur default python

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Tacite•9/3/24, 11:04 AM

it works fine it's just a warning

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virginia•9/3/24, 11:04 AM

okay thanks a lot

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Tacite•9/3/24, 11:04 AM

I have 3.10.14

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Tacite•9/3/24, 11:05 AM

ah no, it says finished but theres no file

TTacite ah no, it says finished but theres no file

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Furkan Gözükara SECourses•9/3/24, 11:06 AM

check outputs folder

TTacite I have 3.10.14

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Furkan Gözükara SECourses•9/3/24, 11:06 AM

it should work

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Tacite•9/3/24, 11:07 AM

Process Process-2:
Traceback (most recent call last):
  File "E:\Joy_Caption_v12\venv\lib\site-packages\transformers\feature_extraction_utils.py", line 183, in convert_to_tensors
    tensor = as_tensor(value)
  File "E:\Joy_Caption_v12\venv\lib\site-packages\transformers\feature_extraction_utils.py", line 142, in as_tensor
    return torch.tensor(value)
RuntimeError: Could not infer dtype of numpy.float32

Process Process-2:
Traceback (most recent call last):
  File "E:\Joy_Caption_v12\venv\lib\site-packages\transformers\feature_extraction_utils.py", line 183, in convert_to_tensors
    tensor = as_tensor(value)
  File "E:\Joy_Caption_v12\venv\lib\site-packages\transformers\feature_extraction_utils.py", line 142, in as_tensor
    return torch.tensor(value)
RuntimeError: Could not infer dtype of numpy.float32

Process Process-2:
Traceback (most recent call last):
  File "E:\Joy_Caption_v12\venv\lib\site-packages\transformers\feature_extraction_utils.py", line 183, in convert_to_tensors
    tensor = as_tensor(value)
  File "E:\Joy_Caption_v12\venv\lib\site-packages\transformers\feature_extraction_utils.py", line 142, in as_tensor
    return torch.tensor(value)
RuntimeError: Could not infer dtype of numpy.float32

Process Process-2:
Traceback (most recent call last):
  File "E:\Joy_Caption_v12\venv\lib\site-packages\transformers\feature_extraction_utils.py", line 183, in convert_to_tensors
    tensor = as_tensor(value)
  File "E:\Joy_Caption_v12\venv\lib\site-packages\transformers\feature_extraction_utils.py", line 142, in as_tensor
    return torch.tensor(value)
RuntimeError: Could not infer dtype of numpy.float32

T

Tacite•9/3/24, 11:07 AM

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\Program Files\Python310\lib\multiprocessing\process.py", line 314, in _bootstrap
    self.run()
  File "C:\Program Files\Python310\lib\multiprocessing\process.py", line 108, in run
    self._target(*self._args, **self._kwargs)
  File "E:\Joy_Caption_v12\app.py", line 335, in process_gpu_batch
    images = clip_processor(images=batch_images, return_tensors='pt', padding=True).pixel_values.to(device)
  File "E:\Joy_Caption_v12\venv\lib\site-packages\transformers\models\siglip\processing_siglip.py", line 113, in __call__
    image_features = self.image_processor(images, return_tensors=return_tensors)
  File "E:\Joy_Caption_v12\venv\lib\site-packages\transformers\image_processing_utils.py", line 41, in __call__
    return self.preprocess(images, **kwargs)
  File "E:\Joy_Caption_v12\venv\lib\site-packages\transformers\models\siglip\image_processing_siglip.py", line 259, in preprocess
    return BatchFeature(data=data, tensor_type=return_tensors)
  File "E:\Joy_Caption_v12\venv\lib\site-packages\transformers\feature_extraction_utils.py", line 79, in __init__
    self.convert_to_tensors(tensor_type=tensor_type)
  File "E:\Joy_Caption_v12\venv\lib\site-packages\transformers\feature_extraction_utils.py", line 189, in convert_to_tensors
    raise ValueError(
ValueError: Unable to create tensor, you should probably activate padding with 'padding=True' to have batched tensors with the same length.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\Program Files\Python310\lib\multiprocessing\process.py", line 314, in _bootstrap
    self.run()
  File "C:\Program Files\Python310\lib\multiprocessing\process.py", line 108, in run
    self._target(*self._args, **self._kwargs)
  File "E:\Joy_Caption_v12\app.py", line 335, in process_gpu_batch
    images = clip_processor(images=batch_images, return_tensors='pt', padding=True).pixel_values.to(device)
  File "E:\Joy_Caption_v12\venv\lib\site-packages\transformers\models\siglip\processing_siglip.py", line 113, in __call__
    image_features = self.image_processor(images, return_tensors=return_tensors)
  File "E:\Joy_Caption_v12\venv\lib\site-packages\transformers\image_processing_utils.py", line 41, in __call__
    return self.preprocess(images, **kwargs)
  File "E:\Joy_Caption_v12\venv\lib\site-packages\transformers\models\siglip\image_processing_siglip.py", line 259, in preprocess
    return BatchFeature(data=data, tensor_type=return_tensors)
  File "E:\Joy_Caption_v12\venv\lib\site-packages\transformers\feature_extraction_utils.py", line 79, in __init__
    self.convert_to_tensors(tensor_type=tensor_type)
  File "E:\Joy_Caption_v12\venv\lib\site-packages\transformers\feature_extraction_utils.py", line 189, in convert_to_tensors
    raise ValueError(
ValueError: Unable to create tensor, you should probably activate padding with 'padding=True' to have batched tensors with the same length.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\Program Files\Python310\lib\multiprocessing\process.py", line 314, in _bootstrap
    self.run()
  File "C:\Program Files\Python310\lib\multiprocessing\process.py", line 108, in run
    self._target(*self._args, **self._kwargs)
  File "E:\Joy_Caption_v12\app.py", line 335, in process_gpu_batch
    images = clip_processor(images=batch_images, return_tensors='pt', padding=True).pixel_values.to(device)
  File "E:\Joy_Caption_v12\venv\lib\site-packages\transformers\models\siglip\processing_siglip.py", line 113, in __call__
    image_features = self.image_processor(images, return_tensors=return_tensors)
  File "E:\Joy_Caption_v12\venv\lib\site-packages\transformers\image_processing_utils.py", line 41, in __call__
    return self.preprocess(images, **kwargs)
  File "E:\Joy_Caption_v12\venv\lib\site-packages\transformers\models\siglip\image_processing_siglip.py", line 259, in preprocess
    return BatchFeature(data=data, tensor_type=return_tensors)
  File "E:\Joy_Caption_v12\venv\lib\site-packages\transformers\feature_extraction_utils.py", line 79, in __init__
    self.convert_to_tensors(tensor_type=tensor_type)
  File "E:\Joy_Caption_v12\venv\lib\site-packages\transformers\feature_extraction_utils.py", line 189, in convert_to_tensors
    raise ValueError(
ValueError: Unable to create tensor, you should probably activate padding with 'padding=True' to have batched tensors with the same length.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\Program Files\Python310\lib\multiprocessing\process.py", line 314, in _bootstrap
    self.run()
  File "C:\Program Files\Python310\lib\multiprocessing\process.py", line 108, in run
    self._target(*self._args, **self._kwargs)
  File "E:\Joy_Caption_v12\app.py", line 335, in process_gpu_batch
    images = clip_processor(images=batch_images, return_tensors='pt', padding=True).pixel_values.to(device)
  File "E:\Joy_Caption_v12\venv\lib\site-packages\transformers\models\siglip\processing_siglip.py", line 113, in __call__
    image_features = self.image_processor(images, return_tensors=return_tensors)
  File "E:\Joy_Caption_v12\venv\lib\site-packages\transformers\image_processing_utils.py", line 41, in __call__
    return self.preprocess(images, **kwargs)
  File "E:\Joy_Caption_v12\venv\lib\site-packages\transformers\models\siglip\image_processing_siglip.py", line 259, in preprocess
    return BatchFeature(data=data, tensor_type=return_tensors)
  File "E:\Joy_Caption_v12\venv\lib\site-packages\transformers\feature_extraction_utils.py", line 79, in __init__
    self.convert_to_tensors(tensor_type=tensor_type)
  File "E:\Joy_Caption_v12\venv\lib\site-packages\transformers\feature_extraction_utils.py", line 189, in convert_to_tensors
    raise ValueError(
ValueError: Unable to create tensor, you should probably activate padding with 'padding=True' to have batched tensors with the same length.

T

Tacite•9/3/24, 11:08 AM

i will try to downgrade numpy

TTacite ```Process Process-2: Traceback (most recent call last): File "E:\Joy_Caption_...

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Furkan Gözükara SECourses•9/3/24, 11:08 AM

let me reinstlal

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Furkan Gözükara SECourses•9/3/24, 11:08 AM

this shouldnt happen

T

Tacite•9/3/24, 11:09 AM