I have 3.10.14

T

TaciteOP•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

F

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

check outputs folder

TTacite I have 3.10.14

F

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

it should work

T

TaciteOP•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

TaciteOP•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

TaciteOP•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_...

F

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

let me reinstlal

F

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

this shouldnt happen

T

TaciteOP•9/3/24, 11:09 AM

i will pip freeze to check if I'm exactly same as yours

F

Furkan Gözükara SECourses•9/3/24, 11:09 AM

i am also reinstalling

T

TaciteOP•9/3/24, 11:10 AM

ah yeah in your requirements.txt there's no numpy so it downloaded the 2.1.0 automatically

FFurkan Gözükara SECourses Click to see attachment

G

GomezBro•9/3/24, 11:11 AM

even FLUX with no Lora already does a good job imo

TTacite ah yeah in your requirements.txt there's no numpy so it downloaded the 2.1.0 aut...

F

Furkan Gözükara SECourses•9/3/24, 11:12 AM

i am testing rigfht now

GGomezBro even FLUX with no Lora already does a good job imo

F

Furkan Gözükara SECourses•9/3/24, 11:12 AM

yep

F

Furkan Gözükara SECourses•9/3/24, 11:12 AM

but this is for training your consistent style

T

TaciteOP•9/3/24, 11:12 AM

solved by doing pip install numpy==1.26.4 in the venv

T

TaciteOP•9/3/24, 11:12 AM

i have the .txt captions now

TTacite solved by doing pip install numpy==1.26.4 in the venv

F

Furkan Gözükara SECourses•9/3/24, 11:12 AM

i will change requirements :d

F

Furkan Gözükara SECourses•9/3/24, 11:12 AM

you found from pip freeze?_

T

TaciteOP•9/3/24, 11:13 AM

yes!

F

Furkan Gözükara SECourses•9/3/24, 11:13 AM

that is why i include

F

Furkan Gözükara SECourses•9/3/24, 11:13 AM

open source community doesnt do that which sucks so bad

T

TaciteOP•9/3/24, 11:13 AM

and beware, the web page still says V11

F

Furkan Gözükara SECourses•9/3/24, 11:13 AM

ye it is fine

FFurkan Gözükara SECourses i am also reinstalling

G

GomezBro•9/3/24, 11:13 AM

Please tag me when you release the 4 GPU video bro. Also, I am going to do 10,000 images with captions this time. How long will it take to train since you are familiar with the 4 A6000 GPU and iterations. I figure 10 EPOCH or less will do it. Saving every Epoch. This way I will know more or less how much it will cost me. Please do tell me the calculation based on the 10K images, thank you Doc. And have a GN its 4am here im dead.... haha

F

Furkan Gözükara SECourses•9/3/24, 11:13 AM

will update v13 now :d

GGomezBro Please tag me when you release the 4 GPU video bro. Also, I am going to do 10,0...

F

Furkan Gözükara SECourses•9/3/24, 11:13 AM

editing right now :d

F

Furkan Gözükara SECourses•9/3/24, 11:13 AM

F

Furkan Gözükara SECourses•9/3/24, 11:13 AM

will announce as @ everyone tagging

T

TaciteOP•9/3/24, 11:17 AM

Did you try the "FP16" option on your joycaptioner? Does it work? Is it better?

TTacite Did you try the "FP16" option on your joycaptioner? Does it work? Is it better?

F

Furkan Gözükara SECourses•9/3/24, 11:18 AM

i didnt try

F

Furkan Gözükara SECourses•9/3/24, 11:19 AM

or maybe tried dont remember :d

T

TaciteOP•9/3/24, 11:20 AM

ok will try

T

TaciteOP•9/3/24, 11:22 AM

ok, only the very last sentence was slightly changed, and it means exactly the same, so useless

F

Furkan Gözükara SECourses•9/3/24, 11:22 AM

fixed : https://www.patreon.com/posts/110613301

Patreon

JoyCaption : Amazing Image Captioner - Batch Processing Included - ...

Get more from SECourses: Tutorials, Guides, Resources, Training, FLUX, MidJourney, Voice Clone, TTS, ChatGPT, GPT, LLM, Scripts by Furkan Gözü on Patreon

TTacite ok, only the very last sentence was slightly changed, and it means exactly the s...

F

Furkan Gözükara SECourses•9/3/24, 11:22 AM

probably

F

Furkan Gözükara SECourses•9/3/24, 11:50 AM

new update