Software Engineering Courses (SECourses)•16mo ago

```Process Process-2: Traceback (most recent call last): File "E:\Joy_Caption_v12\venv\lib\site-pa

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

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.

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_...

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

let me reinstlal

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

this shouldnt happen

TaciteOP•9/3/24, 11:09 AM

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

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

i am also reinstalling

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

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...

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

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

yep

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

but this is for training your consistent style

TaciteOP•9/3/24, 11:12 AM

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

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

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

i will change requirements :d

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

you found from pip freeze?_

TaciteOP•9/3/24, 11:13 AM

yes!

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

that is why i include

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

open source community doesnt do that which sucks so bad

TaciteOP•9/3/24, 11:13 AM

and beware, the web page still says V11

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

ye it is fine

FFurkan Gözükara SECourses i am also reinstalling

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

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...

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

editing right now :d

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

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

will announce as @ everyone tagging

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?

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

i didnt try

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

or maybe tried dont remember :d

TaciteOP•9/3/24, 11:20 AM

ok will try

TaciteOP•9/3/24, 11:22 AM

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

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...

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

probably

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

new update

Neo•9/3/24, 12:08 PM

yeah that got me too, you are ontop of this stuff haha

Furkan Gözükara SECourses•9/3/24, 12:13 PM

testing 100 new prompts from gpt4

m3m3x•9/3/24, 12:32 PM

Hello, is there a website or list somewhere of fun flux prompt to use with lora ?

Mm3m3x Hello, is there a website or list somewhere of fun flux prompt to use with lora...

Furkan Gözükara SECourses•9/3/24, 12:35 PM

i shared my testing prompts and 340 prompts in zip file :d

Furkan Gözükara SECourses•9/3/24, 12:37 PM

nice prompt

Furkan Gözükara SECourses•9/3/24, 12:37 PM

just need more generation to cherry pick

Furkan Gözükara SECourses•9/3/24, 12:37 PM

Furkan Gözükara SECourses•9/3/24, 12:37 PM

here 100 new prompt still testing

Furkan Gözükara SECourses•9/3/24, 12:38 PM

test_prompts.txt36.31KB

Furkan Gözükara SECourses•9/3/24, 12:46 PM

just need a better seed

Furkan Gözükara SECourses•9/3/24, 12:47 PM

Furkan Gözükara SECourses•9/3/24, 12:47 PM

Furkan Gözükara SECourses•9/3/24, 12:47 PM

i made gpt4 to redefine clothings :d

Furkan Gözükara SECourses•9/3/24, 12:47 PM

FFurkan Gözükara SECourses new update

Yobin•9/3/24, 1:27 PM

in your training, did you consider using prodigy opt so that u dont have to worry about LR?

YYobin in your training, did you consider using prodigy opt so that u dont have to worr...

Furkan Gözükara SECourses•9/3/24, 1:48 PM

i didnt find it better in past

Furkan Gözükara SECourses•9/3/24, 1:48 PM

1346-photo20of20ohwx20man20riding20a20majestic20stag-flux1-dev-711742429.png

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.

```Process Process-2: Traceback (most recent call last): File "E:\Joy_Caption_v12\venv\lib\site-pa

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